Monday, February 23, 2026

< + > AI in Ultrasound Imaging Advances and Their Influence on Healthcare Practices and Patient Safety

The following is a guest article by Rohan Patil, Principal Consultant at Towards Healthcare

AI in ultrasound imaging has been gradually transforming healthcare, offering a way to see inside the body with greater precision and fewer invasive procedures.

Through my experience working in healthcare technology, I’ve seen how AI-powered imaging tools can help doctors make better decisions, reduce mistakes, and improve patient care.

Modern AI ultrasound tools now do more than just capture images. They can guide clinicians during scans, highlight important areas, and help ensure results are reliable. From heart exams to pregnancy scans, these AI-enhanced improvements make the work easier for healthcare professionals and safer for patients.

Opportunities in AI Ultrasound Imaging

The future of ultrasound is full of possibilities. AI-assisted imaging systems allow more accurate measurements and better detection of conditions in areas like heart health, kidney stones, and pregnancy care. Clinicians can now rely on tools that help them see details they might otherwise miss.

With lifestyle-related and chronic illnesses becoming more common, the demand for precise, AI-powered imaging is increasing. 

According to Towards Healthcare, the global market for AI in ultrasound imaging is expected to reach USD 2.6 billion by 2035, growing from USD 1.14 billion in 2025 at an annual growth rate of 8.6%.

Modern ultrasound tools also help smaller clinics and hospitals. They can perform complex imaging studies without needing highly specialized staff, making quality diagnostics available in areas with fewer trained professionals. This is a significant step toward improving healthcare access for more people.

Challenges in AI Ultrasound Imaging Today

Despite these advances, there are challenges that need attention. Protecting patient privacy is critical. Sensitive health information analyzed by AI systems must be kept safe from unauthorized access or leaks, as trust is essential in healthcare.

Another issue is understanding AI technology. Some advanced AI imaging tools make decisions in ways that aren’t always clear to clinicians. Being able to see and understand how these systems work builds confidence and ensures safe use.

Explaining AI-driven tools to patients is also important. People need to know how their health data is being used, and clear communication is key to helping them feel comfortable and informed.

Let’s Understand the Trends in AI Ultrasound Imaging

Here are some trends that are shaping the field in 2025 and 2026:

  • More Regulatory Approvals: Authorities in the US and Europe are approving AI-powered ultrasound applications that guide clinicians and improve scan quality
  • Real-Time 3D Imaging: AI algorithms now enable scanners to capture moving organs, like a beating heart, in three dimensions; this allows doctors to interpret images more accurately in real time
  • Smarter Workflow Management: AI helps doctors manage workloads by prioritizing urgent cases and automating routine measurements, saving time and reducing errors
  • Focus on Chronic Conditions: AI-enhanced ultrasound is increasingly applied in heart health, kidney care, and pregnancy, helping clinicians detect issues early and plan treatment effectively
  • Improved Data Safety: AI systems come with advanced security measures to ensure patient information is protected during storage and sharing, building trust in these technologies
  • Transparent Systems: Developers are creating AI imaging tools that are easier for clinicians to understand, so they can confidently rely on the results

What’s Coming in AI Ultrasound Technology?

The next decade holds a lot of promise for AI in ultrasound imaging. AI-powered tools are likely to become even more precise, faster, and easier to use across all healthcare settings. Hospitals and clinics will be able to provide high-quality diagnostics even in areas where specialists are scarce.

We can also expect AI systems to integrate more seamlessly with patient records and health monitoring platforms, making care more coordinated and efficient. With improvements in accuracy, workflow, and accessibility, AI-enhanced ultrasound will continue to play a vital role in the early detection and treatment of diseases.

The future of AI in ultrasound imaging is about combining intelligent technology with patient-centered care. It’s about giving clinicians the tools they need while ensuring patients receive safer, more accurate, and timely diagnoses.

About Rohan Patil

Rohan Patil is a seasoned market research professional with over 5+ years of focused experience in the healthcare sector, bringing deep domain expertise, strategic foresight, and analytical precision to every project he undertakes.

About Towards Healthcare

Towards Healthcare is a global strategy consulting firm based in Canada and India. The firm supports business leaders with technology solutions, clinical research services, and advanced analytics in healthcare, enabling actionable insights and sustainable innovation.



< + > Lotus Just Raised $41M

Leading Investors Backed Lotus’s New Primary Care Model Because They Believe It Can Finally Fix Healthcare in America

For decades, Nancy lived with a lupus diagnosis that never fully explained her symptoms. Only after Lotus Health AI unified her fragmented medical records and flagged a likely case of MCAS (Mast Cell Activation Syndrome) did she receive guidance that led to meaningful improvement…within days.

Robert, a brain aneurysm survivor, faced six surgeries and a flood of more than 30 lab tests. Lotus AI provided him with round-the-clock support that helped him gather results, manage his care, and meet with his doctors with more confidence.

Trisha endured pulsatile tinnitus for years without answers. Lotus AI identified triggers and guided interventions with the support of clinicians, and she finally found relief.

Top-Tier Investors Back a New Model for Primary Care

These stories share a key theme: patients got the clarity and continuity they needed with Lotus Health AI. It’s because of these tangible improvements in the lives of everyday Americans that some of the longest-running venture capital firms in the world are backing Lotus. Kleiner Perkins and CRV co-led Lotus Health AI’s $35 million Series A, with a board seat for CRV’s general partner, Saar Gur, who led early investments in DoorDash, Mercury, Patreon, and Ring. Kleiner Perkins—famed for their early investments in Google, Amazon, Genentech, Twitter, and Airbnb—also led Lotus’ Seed Round, bringing total funding to $41 million.

Lotus investors also include Joe Montana’s Liquid 2, Adidas Family Office’s LEADVC, and a group of high-profile healthcare and technology founders and operators, including Jerry Murdock (Insight Venture Partners), Michael Ovitz (CAA), Aneesh Chopra (first CTO of the United States), Vivek Garipalli (Clover Health), Othman Laraki (Color Genomics), Travis May (Datavant), Julia Cheek (Everlywell), Adrian Aoun (Forward & Torch), Harpreet Rai (former CEO of Oura), Colin Evans (OpenAI), Jacob Reider (former CMO, U.S. HHS), Harjinder Sandhu (CTO at Microsoft), and Ian Shakil (Augmedix), alongside physicians from Harvard and Stanford.

A Physician-Led AI Medical Practice Built to Deliver Treatment

Lotus Health AI combines:

  • Medical AI
  • Unified Patient Health Data
  • Latest Peer-Reviewed Medical Evidence
  • Clinical Guidelines
  • Real Board-Certified Physicians Reviewing Guidance

…to collapse the cost of care and make doctors 10 times more productive while stripping out the administrative waste that drives costs up and slows care down. Lotus is designed to replace outdated primary care processes by eliminating administrative bottlenecks and giving doctors the tools to be dramatically more effective with a single 24/7 model of care. The system supports more than 50 languages and automatically syncs medical records, labs, medications, wearable data, and insurance benefits into one secure profile. Physicians review care, refine recommendations, and prescribe medications when needed, with lab ordering and in-person care routing coming soon.

The fresh capital will provide Lotus with the additional infrastructure required to serve millions while continuing to build out a world-class clinical team and the runway to keep care free as the company scales.

“Healthcare startups struggle to scale because they either build for whoever pays the most – hospitals, insurers, pharma – or they push costs onto patients. Either way, patient trust gets compromised. Lotus Health AI knows how to rewire the incentives, so they can grow without either. That’s the unlock,” said Saar Gur, General Partner at CRV.

Lotus is designed to break that cycle by earning revenue through premium sponsorships inside the app, rather than billing patients when they get sick.

“Every few decades, a product emerges that doesn’t just improve a system, but redefines it. Lotus Health AI has the potential to do that for primary care by delivering greater access, lower cost, and better outcomes at scale. We’re thrilled to back a team capable of bringing world-class care to millions,” said Annie Case, Partner at Kleiner Perkins.

Lotus Health AI was co-founded in San Francisco by KJ Dhaliwal, who grew up translating medical appointments for his immigrant parents and later built a consumer technology platform that reached millions before it was acquired. Lotus’s clinical team includes board-certified physicians from Stanford, Harvard, UCSF, and Johns Hopkins.

About Lotus Health AI

Lotus Health AI is a new model for primary care. We’ve removed the waste, made doctors 10 times more productive, and rewired the incentives so patients are finally empowered to seek care. No insurance needed. Real physicians review care and prescribe when needed. Available 24/7 in 50+ languages.

Originally announced February 3rd, 2026



Sunday, February 22, 2026

< + > Bonus Features – February 22, 2026 – 62% of healthcare professionals receive insufficient training in new tech, 40% of orgs have adopted cloud fax, plus 23 more stories

Welcome to the weekly edition of Healthcare IT Today Bonus Features. This article will be a weekly roundup of interesting stories, product announcements, new hires, partnerships, research studies, awards, sales, and more. Because there’s so much happening out there in healthcare IT we aren’t able to cover in our full articles, we still want to make sure you’re informed of all the latest news, announcements, and stories happening to help you better do your job.

Studies

Partnerships

Products

Implementations

People and Company News

If you have news that you’d like us to consider for a future edition of Healthcare IT Today Bonus Features, please submit them on this page. Please include any relevant links and let us know if news is under embargo. Note that submissions received after the close of business on Thursday may not be included in Bonus Features until the following week.



Saturday, February 21, 2026

< + > Weekly Roundup – February 21, 2026

Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives you a chance to catch up on anything you may have missed during the week.

Duke Health Is Building the Hospital of the Future. John Lynn chatted with LaDonna Worrell at Duke Health and Dr. Justin T. Collier at Lenovo about ensuring physical infrastructure doesn’t hold back technology implementation, as the hospital set to open in 2028 must support decades’ worth of technology. Read more…

Overcoming Challenges Aligning IT Infrastructure With Value-Based Care Goals. Understanding clinical workflows, achieving interoperability and aggregating data, and closing care gaps outside the hospital are key to making this happen, the experts in the Healthcare IT Today community said. Read more…

Helping Providers Track Quality Outcomes for Value-Based Care Reimbursement. To succeed in VBC, providers need insights into financial performance, risk management, clinical pathway standardization, care gaps, and more, according to the Healthcare IT Today community. Read more…

Healthcare Interoperability Works Through Open Standards. In a wide-ranging chat, Ryan Howells at Leavitt Partners noted new CMS interoperability requirements “could unleash more innovation in healthcare tech than ever before” and undo some of the damage from meaningful use, which didn’t require standard EHR interfaces. Read more…

CMS Reimbursement for Tech-Enabled Therapies. John talked to Sensus Healthcare CEO Joseph C. Sardano about why CMS has become more disciplined about policies, procedures, and reimbursements, particularly in technology used to treat skin cancer. Read more…

Does Your Radiology AI Actually Work Here? Colin Hung connected with HOPPR CEO Dr. Khan Siddiqui, who said hospital IT teams need to make sure AI models work for their configurations, protocols, and workflows, even if a vendor says the models work “everywhere.” Read more…

Are You Testing and Monitoring Your Cloud-Based Healthcare Data Centers? John summarized an Anritsu white paper that unpacks the benefits of purpose-built devices for optimizing cloud-based data center performance, scalability, and more. Read more…

Life Sciences Today Podcast: Building a Rare Disease Ecosystem. Sagi Sigali at Rafa’s Moonshot joined Danny Lieberman to discuss turning a rare genetic disorder into an investable, de‑risked therapeutic opportunity. Read more…

Healthcare IT Today Podcast: ViVE and HIMSS Preview. It’s that time of year again. John and Colin talk about what makes ViVE and HIMSS different, what topics they expect to hear discussed in the hallways, and how to thrive at a large conference. Read more…

The Most Overlooked Benefit of AI Isn’t Clinical; It’s Human. AI comes into its own as a quiet, workflow-level tool designed to absorb administrative and cognitive load, according to Roy Wills at Intellias. The key to making this happen is ensuring AI systems are built to support clinicians, not supplement them. Read more…

Lessons Healthcare Learned the Hard Way – and Why Agentic AI Must Be Different. Aditya Bansod at Luma Health described how frustration with complexity, friction, alerts, and point solutions hurt the first wave of digital health and noted that platforms offer a better path forward. Read more…

Anshar to Debut AI’s Game-Changing Agents at HIMSS. Emily Snyder at AnsharAI described how one hospital cut denials by 60% in just one month by integrating Anshar AI into its existing claim management system. This reflects the power of agentic AI to function autonomously and manage complex administrative tasks. Read more…

Interoperability Must Be the New Standard for NEMT. Non-emergency medical transport is a highly fragmented market of disconnected digital tools, said Jill Hericks at Kinetik. Interoperability can lead to transparency, which allows for real-time decision-making. Read more…

This Week’s Health IT Jobs for February 18, 2026: Workforce management company Avant Healthcare Professionals seeks a Vice President of Technology and Digital Solutions. Read more…

Bonus Features for February 15, 2026: 58% of providers say TikTok is harming long-term health literacy, healthcare accounted for 22% of all disclosed ransomware attacks in 2025. Read more…

Funding and M&A Activity:

Thanks for reading and be sure to check out our latest Healthcare IT Today Weekly Roundups.



Friday, February 20, 2026

< + > Cables and Scheduling Stress Test – Fun Friday

Happy Friday everyone!  We hope you all had an amazing week and ready for the weekend.  If you’re like me, you’ll be traveling this weekend to attend the ViVE Conference.  I can’t wait to see so many of you there.

Since it’s Friday, that means it’s time for another edition of Fun Friday where we try to make you smile as you head into your weekend and maybe even learn something from the humor.

As a dad who has piles of chords I probably will never need, I can really relate to this cartoon.  I’ll be there for my kids when they need it.  Even if they mostly do wireless now.

This one kind of hurts since we know how much fun scheduling an appointment can be in healthcare.  Definitely feels like a stress test in many situations.  The good news is the technology is there to make this process better.

Thanks everyone for ready.  We hope you have an amazing weekend.



< + > The Most Overlooked Benefit of AI isn’t Clinical – It’s Human

The following is a guest article by Roy Wills, VP, Head of Healthcare Business and Partnerships at Intellias

The conversation around artificial intelligence in healthcare has been dominated by clinical promise for years. We often hear about earlier diagnosis, more accurate imaging reads, predictive analytics, and personalized treatment plans. And, yes, all of that is transformative.

But it does miss what may be one of AI’s most urgent contributions to healthcare today: restoring the human experience of care.

Healthcare systems around the world are facing a workforce crisis that technology alone cannot fix, but that it can significantly relieve. Clinician burnout now threatens patient safety, access to care, and the long-term functioning of health systems. Arguably, in this context, AI’s greatest value is what it gives back to clinicians: time, focus, and professional satisfaction.

Burnout is No Longer a Side Issue

Many physicians today spend more time interacting with computers than with patients – devoting hours to documentation and administrations inside electronic health records (EHR). In the U.S. specifically, clinicians report spending an average of 28 hours a week on administrative work. That burden falls especially heavily on primary care, where documentation requirements, inbox volume, and uncompensated digital communication are weighing heavily on already stretched primary care teams.

The consequences of this load are serious. For some physicians, it’s contributing to feelings of burnout, whilst it’s driving others out of the practice altogether. Workforce attrition compounds access challenges, particularly in underserved communities, making burnout a very real system-level risk.

Encouragingly, clinicians themselves see AI as part of the solution. In an American Medical Association survey, around two-thirds of physicians expressed enthusiasm about AI, particularly for administrative use cases. And that distinction matters, because clinicians are not looking for AI to replace their own judgement, but they are wanting access to tools that remove friction from the work that keeps them from practicing medicine.

AI Working Efficiently in the Background

This is where AI comes into its own, as a quiet, workflow-level tool designed to absorb administrative and cognitive load.

Ambient documentation – often referred to as digital or ambient AI scribes – is one of the clearest examples. These systems use speech recognition and natural language processing to listen to clinician-patient interactions, generate structured medical notes, populate diagnostic fields, and support billing and coding in real time. The goal here is for the technology to stay in the background, so human-centric care can come into the foreground.

Early evidence suggests this approach works. One study showed that digital scribes can improve documentation efficiency by nearly threefold. Significantly, one multicentre evaluation across six U.S. health systems – a mix of academic medical centers and community hospitals – found that after just 30 days of using an ambient AI scribe for patient visits, the percentage of physicians reporting burnout dropped from roughly 52% to 39% – representing 74% lower odds of experiencing burnout.

These gains are tangible because they address some of the root causes of burnout, including wasted time and mental exhaustion. When clinicians are relieved from having to duplicate information, copy forward redundant information, or complete notes long after clinical hours, they regain control over their time. The sense of agency gained as a result can be deeply powerful for the individual.

The Compounding Effects of a Lighter Load

Documentation is, of course, only one piece of the administrative jigsaw. Inbox management has been another major driver of overload. Even before the pandemic, family physicians spend on average 1.5 hours per day managing inbox messages. Today, U.S. clinicians receive nearly three times as many inbox messages as their international counterparts, many of them system-generated and low value.

Meanwhile, patient portal messages – though a small percentage of total volume – demand careful attention and have increased dramatically since the pandemic. AI-enabled triage, routing, and automated reply technologies are increasingly being used to manage this flood swiftly – and more intelligently.

By filtering, prioritizing, and routing messages to appropriate care teams, these tools reduce unnecessary interruptions and protect clinicians’ cognitive bandwidth. The result is not just faster responses, but more sustainable communication.

What’s less comprehensively understood is how these improvements ripple across healthcare operations. Better documentation leads to cleaner coding, cleaner coding leads to fewer denials, and fewer denials strengthens financial performance. Not to mention the downstream reduction of administrative re-work. Consistent follow-ups also improves continuity of care and patient trust.

Re-Humanising Clinical Work, Not Replacing It

None of this is to say that AI adoption is risk-free. Poorly designed systems can achieve the opposite of what’s intended – adding complexity, eroding clinical skills, and creating new forms of work rather than eliminating old ones. And there are legitimate concerns about job displacement and over-automation, which is precisely why value-aligned implementation should be front of mind.

It’s why the most successful AI tools in healthcare today share a common philosophy: they are built to support clinicians, not supplement them. They focus on removing low-value work, whilst preserving – and enhancing – the clinician-patient relationship. And when thoughtfully implemented, AI can, indirectly, help to restore a sense of purpose that many clinicians feel is slipping away. It can enable them to practice at the top of their game, to listen more closely, and to leave work without always feeling exhausted.

The Invaluable Human Return of AI in Healthcare

In most cases, it isn’t a lack of innovation that healthcare suffers from – it’s the lack of human capacity. As burnout accelerates, no amount of clinical intelligence will matter if there are not enough clinicians able to deliver the care that’s needed.

Which is precisely why the true, and perhaps most overlooked, value of AI is not in clinical insight, but in rebuilding the human experience of delivering care – the very foundation of our healthcare systems.

About Roy Wills

Roy Wills is a senior healthcare technology and engineering services executive with over 25 years of experience driving growth, innovation, and operational excellence across global markets. As the Global Head of Healthcare & Life Sciences and Cloud Partnerships at Intellias, he leads end-to-end strategy, sales, and delivery for North America, accelerating digital transformation for enterprise clients.

Over the past eight years, Roy has spearheaded sales, operations, go-to-market strategy, and strategic partnerships within the Healthcare and Life Sciences sector. He has built high-performing teams and scaled complex businesses to deliver sustained revenue growth.



< + > Talkiatry Raises Oversubscribed $210M Series D to Expand Nation’s Largest Full-Stack Psychiatry Provider

With More than 800 Full-Time Psychiatrists, Talkiatry Strengthens its Position as the De Facto In-Network Psychiatry Partner for U.S. Health Systems, Payers, and Employers

Talkiatry’s Clinical Outcomes and Cost Savings Lead the Industry, with 87 Percent of Anxiety Patients and 86 Percent of Depression Patients Reporting Symptom Improvement After Just Two Visits, Dropout Rates 60 Percent Lower than Industry Benchmarks, and Cost of Care Reductions Reaching up to $700 Per Member Per Month

Series D Capital Will Fuel Talkiatry’s Continued Investment in Industry-Leading Technology and Support Continued Expansion Across the Acuity Spectrum

Talkiatry today announced $210 million in Series D financing to support the next phase of growth for its nationally scaled, full-stack provider group. The oversubscribed round was led by Perceptive Advisors, with participation from Sofina and prior lead investors Andreessen Horowitz (a16z), blisce/, and Left Lane Capital, alongside a debt facility from Banc of California, bringing the total raise to date to over $400 million.

As the nation’s largest private employer of psychiatrists, Talkiatry directly employs more than 800 full-time psychiatrists. The company has delivered 3 million patient visits to date and is in-network with more than 100 insurers nationwide, covering over 170 million lives. Since the launch of its Mindshare Partner Program in late 2023, Talkiatry has established partnerships with more than a third of the country’s top 20 health systems and 50+ total systems to deliver high-quality, in-network psychiatric care across their populations.

Payers and health systems turn to Talkiatry because its care model produces superior outcomes across large patient populations. 87 percent of Talkiatry patients treated for anxiety and 86 percent treated for depression experience symptom reduction after two visits, with 67 percent and 62 percent, respectively, reporting no longer having clinically significant symptoms. Additionally, Talkiatry’s early dropout rate is up to 60 percent lower than industry benchmarks, supporting stronger continuity of care and dramatically reducing the likelihood of escalation into higher-cost settings.

Talkiatry’s clinical operations are built on a proprietary AI-powered technology platform that drives efficiency and outcomes, automating back office functions, engaging patients between visits, supporting health systems in getting patients into care, and enabling innovative payment models with payers. As Talkiatry’s patient population continues to grow, its technology platform combined with a rigorous physician-led model allows it to maintain the highest level of quality and consistency as it continues to scale and expand across the acuity spectrum.

“Talkiatry is setting the standard for how psychiatry is delivered and measured, with a proven national operating model centered on employed psychiatrists built upon a proprietary technology platform,” said Robert Krayn, Co-Founder and CEO at Talkiatry. “Health systems, payers, and employers continue to choose Talkiatry as their psychiatry partner of record to deliver consistent, superior outcomes across their patient populations. This funding supports expansion into more complex care and deeper partnerships as institutional demand grows.”

In its most recent clinician satisfaction survey, 90 percent of psychiatrists said they would recommend Talkiatry as a place to practice. Talkiatry clinicians report 80 percent less burnout than the industry average, including less emotional exhaustion and a stronger sense of personal accomplishment. Talkiatry also reports therapeutic alliance ratings 22 percent higher than industry peers, with 92 percent of patients building a strong rapport with their clinicians.

“Talkiatry has built a national full-stack provider group that sits on a proprietary AI-powered technology platform, giving it greater control over the quality and care being delivered at scale,” said Michael Altman, Head of Strategy at Perceptive Advisors. “The company’s consistent results across outcomes, engagement, and patient experience position it as defining the next era of psychiatric care in the United States. Our investment supports that long-term vision.”

Treating conditions including anxiety, bipolar disorder, depression, postpartum depression, OCD, and PTSD, Talkiatry reports a 76 NPS rating, reflecting consistent patient satisfaction across its practice. Talkiatry was ranked among the fastest-growing companies in North America on the Deloitte Technology Fast 500 in 2025, and is repeatedly recognized as one of the best companies to work for in the country by Fortune and Great Place to Work.

About Talkiatry

Talkiatry is a full-stack provider group delivering in-network psychiatric care across the United States. The company directly employs more than 800 full-time psychiatrists, making it the largest private employer of psychiatrists in the country, and has delivered 3 million patient visits to date. Talkiatry serves as the preferred psychiatry partner for health systems, payers, and employers seeking dependable access and superior outcomes. The company’s care model is underpinned by proprietary AI-powered technology to manage care delivery, streamline clinical operations, and engage members. Talkiatry was co-founded by Robert Krayn and Georgia Gaveras, DO.

Learn more at talkiatry.com and follow us on LinkedInFacebook, and Instagram.

Originally announced February 12th, 2026



< + > AI in Ultrasound Imaging Advances and Their Influence on Healthcare Practices and Patient Safety

The following is a guest article by Rohan Patil, Principal Consultant at Towards Healthcare AI in ultrasound imaging has been gradually tra...