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- Healthcare AI Guy Weekly | 3/18
Healthcare AI Guy Weekly | 3/18
NVIDIA state of AI in healthcare report, AI failed to detect critical health conditions, Patients prefer AI messages, and more!

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Good morning healthcare AI enthusiasts —
Here’s what we’re covering this week:
NVIDIA state of AI in healthcare report
AI failed to detect critical health conditions
Patients prefer AI messages
8 new tools/partnerships, 9 funding updates & link-worthy content
Read time: 5 minutes
Our Picks ✨
Highlights if you’ve only got 2 minutes…
1/
NVIDIA state of AI in healthcare report
The 2025 State of AI in Healthcare & Life Sciences report from NVIDIA highlights AI’s transformative impact across the industry, with rapid adoption and expanding investments. The top use cases include medical imaging, clinical decision support, and AI-driven automation. Here are the key findings:
63% of healthcare organizations are actively using AI.
81% report revenue growth from its implementation.
66% of pharma and biotech firms are investing in AI for drug discovery.
73% say AI helps reduce costs, while 58% cite data analytics as the top AI workload.
83% believe AI will revolutionize healthcare and life sciences within 3-5 years.
78% of organizations plan to increase AI budgets in 2025, with a focus on infrastructure and workforce expertise.
Data privacy (33%) and budget constraints (30%) are key concerns.
Looking ahead, 75% of medtech professionals predict AI-driven breakthroughs in imaging and diagnostics, reinforcing AI’s role as a driving force in healthcare’s future. (link)

2/
AI failed to detect critical health conditions
A new study in Nature Medicine highlights major flaws in AI models used to predict hospital patient mortality. Virginia Tech researchers found that these machine learning models, widely cited in medical literature, failed to recognize 66% of critical patient injuries in test cases and sometimes missing every single case. As hospitals increasingly rely on AI for patient care, these “alarming deficiencies” pose serious risks, especially for ICU and cancer patients. Researchers stress that AI must incorporate medical expertise, as purely data-driven models overlook complex clinical realities. This underscores the need for cautious AI adoption to ensure patient safety. (link)

3/
Patients prefer AI messages
A study published in JAMA Network Open found that while patients prefer the content of AI-generated messages over human-written ones, their satisfaction drops if they know AI wrote them. In a survey of 1,455 patients, AI-drafted responses outperformed human-drafted ones in satisfaction (−0.30 points), usefulness (−0.28), and perception of being cared for (−0.43) on a 5-point scale. However, patients reported higher satisfaction when they believed a response was written by a human (mean difference of 0.13) or when no disclosure was provided—even when they preferred the AI-generated content.
This aligns with broader trends in AI adoption: AI excels at summarization and drafting, but transparency remains crucial. As AI continues to enhance efficiency in clinical communication, disclosures will likely become the norm to maintain trust. (link)

Tools & Partnerships 🔧
Latest on business, consumer, and clinical healthcare AI tools and partnerships…
TOOLS
Harvard team creates AI agent for personalized medicine: Researchers from Harvard and MIT just introduced TxAgent, an AI agent that leverages multi-step reasoning and real-time biomedical knowledge retrieval to generate trusted, personalized treatment recommendations for patients. TxAgent utilizes 211 specialized tools to analyze drug interactions and contraindications and suggest patient-specific treatments in real-time. (link)
Innovaccer launches gap closure solution: Innovaccer followed up its recent Agents of Care launch with the unveiling of a 360-degree gap closure solution for payors. The new solution is designed to streamline risk adjustment and quality gap closure by enabling health plans to boost coding accuracy and enhance member outcomes through improved engagement across care settings. (link)
Sakana’s peer-reviewed AI-authored paper: Japanese AI startup Sakana claims the first fully AI-generated paper to pass peer review. AI Scientist-v2 autonomously created hypotheses, code, data analyses, and text—without human input. (link)
NextGen AI upgrades: NextGen Healthcare enhances its Mobile platform with AI-driven patient summaries, medication suggestions, and charge capture integration—advancing its “no UI” strategy. (link)
OpenAI releases new DIY agent tools: OpenAI unveils new tools for businesses to build AI agents for web browsing and file management. The Responses API replaces the Assistants API, set to sunset in 2026. (link)
Latitude Health launches AI-native utilization management solution: a San Francisco, CA-based company, Latitude Health, is emerging out of stealth with the launch of its AI-driven utilization management designed to eliminate inefficiencies, reduce costs, and improve patient outcomes. (link)
PARTNERSHIPS
Tia + Nabla AI: Women’s health pioneer Tia is rolling out Nabla’s ambient AI assistant to its clinicians after a successful two-month pilot that cut clinical note submission time in half for participating providers. The implementation will help bolster Tia’s patient-provider experience. (link)
Bunkerhill Health + Cleerly: The two AI imaging CDS platforms (which operate at differing levels of precision) are partnering to give hospitals access to the ability to identify clinically significant findings and prioritize patients for follow-up (with Bunkerhill Health) and further assessment (with Cleerly). (link)
Deal Desk 💸
Spotlight on latest capital raises, M&A, and investments…
FUNDING
Insilico Medicine, a Hong Kong-based AI drug design startup, raised $110M in Series E funding. Value Partners led, and was joined by insiders like Warburg Pincus and Qiming Venture Partners. (link)
Lumafield, a developer of industrial CT tech for medical device companies, raised a $75M Series C funding. IVP led, and was joined by G2 Venture Partners, Wellington Management and insiders Spark Capital, DCVC, Kleiner Perkins, Lux Capital, and Matter Venture Partners. (link)
Cartesia, an SF-based provider of an AI-powered voice generation platform, raised $64M in Series A funding. The round was led by Kleiner Perkins, with participation from Index Ventures, Lightspeed, A*, Factory, Greycroft, Dell Technologies Capital, and Samsung Ventures. (link)
Motivity, a Honolulu, Hawaii-based provider of SaaS tools for autism therapy providers, raised $27M from Five Elms. (link)
Elea AI, a Hamburg, Germany-based pathology lab automation startup, raised €4M in seed funding led by Fly Ventures and Giant Ventures. (link)
Nimblemind.ai, a Chicago-based AI-powered data infrastructure platform for healthcare providers, raised $2.5M in funding. Bread & Butter Ventures led the round and was joined by Great Oaks Venture Capital, SpringTime Ventures, Stone Mountain Ventures, angel investors, and others. (link)
Porter, an AI-driven care coordination platform for Stars and risk adjustment performance, raised an undisclosed amount of growth equity. (link)
MERGERS & ACQUISITIONS
CoachCare + VitalTech: CoachCare acquired fellow remote patient monitoring startup VitalTech for an undisclosed amount, marking its eighth acquisition since 2023. VitalTech’s “AI-first virtual care platform” will reportedly allow CoachCare to further scale its solutions, expand payment models, and break into more large health systems. (link)
Wysa + April Health: AI-based mental health chatbot Wysa will expand its product offering into human-led clinical services via the acquisition of April Health, a telehealth psychiatry model. (link)

market snapshot as of 3/16/25
Other Relevant News 🔍
News, podcasts, blogs, tweets, resources, etc…
Healthcare AI market map
— Healthcare AI Guy (@HealthcareAIGuy)
8:52 PM • Mar 13, 2025
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Visuals of the Week 📸
Funny memes, cool pics, and interesting data from around the web…



That’s it for this week friends! Back to reading — I’ll see you next week.
Stay classy,
— Healthcare AI Guy (aka @HealthcareAIGuy)
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