Author: Rutali Thakur

Pfizer reported up to 12.3% placebo-adjusted weight loss at 28 weeks in a phase 2b trial of PF-08653944 (formerly MET-097i), a GLP-1 receptor agonist acquired through its $10 billion Metsera deal. In the Vesper-3 trial (~250 adults with obesity or overweight without diabetes), patients transitioned from weekly dosing to higher monthly maintenance injections. Weight loss continued after the switch, with no plateau observed at Week 28. Key highlights: The data place Pfizer within the competitive range reported by obesity drug rivals (9%–13% placebo-adjusted at 28 weeks), while offering the potential convenience advantage of monthly dosing. The stakes are high: Pfizer…

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San Francisco-based startup Oath Surgical has partnered with NVIDIA to embed real-time AI analytics into its outpatient surgery center operating system, OathOS. Backed by $35 million in funding, Oath operates three surgical centers in Portland and partners with 20 additional sites nationally. Its model integrates AI across the full surgical workflow — capturing video, audio, device data, documentation, scheduling, billing, and outcomes to create a longitudinal surgical intelligence layer. Using NVIDIA’s AI infrastructure, Oath aims to: Rather than layering AI onto legacy systems, Oath is designing a vertically integrated, “AI-native” ASC model — targeting the fast-growing outpatient surgery market.

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The collaboration applies AI to patient access and core administrative workflows—addressing growing operational complexity while establishing a scalable foundation for the future of GI care. ANN ARBOR, MI — NextServices today announced a strategic partnership with One GI® and 100ms to accelerate an AI-driven operating model across the One GI® platform. As gastroenterology platforms face rising patient demand, staffing constraints, and increasing administrative burden, One GI® is taking a deliberate approach to modernization—a strategy that replaces fragmented, manual processes with coordinated workflows supported by AI, automation, and unified data. The initiative represents the early stages of a broader, multi-year AI transformation journey for One GI®, shaped…

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MIAMI–(BUSINESS WIRE)–OpenEvidence, the most widely-used AI platform by doctors in America, announced today that it closed a Series D round of funding, valuing the company at $12 billion. This makes OpenEvidence the most valuable Healthcare AI company in the world. OpenEvidence is a specialized AI-powered medical search engine that serves as a “brain extender” for clinicians by providing real-time, citation-linked answers synthesized exclusively from the world’s most trusted, peer-reviewed medical literature. “If a doctor tried to stay current by reading only the new evidence in the top 10 medical journals and only the most recent changes to their specialty guidelines, it…

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Call it “selfie science,” perhaps. Researchers are finding that ubiquitous facial images could be used to train artificial intelligence for potential deployment as a clinical decision support tool – assessing a patient’s biological age when deciding on treatment. An upcoming presentation scheduled for March at the 2026 HIMSS Global Health Conference & Exposition in Las Vegas will provide an overview and dive into results from clinical trials of the deep learning algorithm called FaceAge, which analyzes facial images to predict a person’s biological age and survival factors. The thinking behind this AI development is that facial analysis may offer more objectivity than…

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Paul J. Lukac, M.D., from the University of California, Los Angeles (UCLA), and colleagues examined the impact of ambient AI scribes. Outpatient physicians (238), representing 14 specialties, were randomly assigned (1:1:1) to either one of two AI scribe applications — Microsoft Dragon Ambient eXperience (DAX) Copilot or Nabla — or a usual-care control group. Change from baseline log writing time-in-note was the primary outcome. Secondary outcomes included several survey instruments: Mini-Z 2.0 to assess burnout, work environment, work pace, and electronic health record (EHR) stress; physician task load (PTL) to assess cognitive load related to stress from EHR documentation; and Professional Fulfillment Index-Work…

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This rapid review explores how artificial intelligence (AI) is integrated into healthcare and examines the factors influencing trust between users and AI systems. By systematically identifying trust-related determinants, this review provides actionable insights to support effective AI adoption in clinical settings. A comprehensive search of MEDLINE (Ovid), Embase (Ovid), and CINAHL (Ebsco) using keywords related to AI, healthcare, and trust yielded 872 unique citations, of which 40 studies met the inclusion criteria after screening. Three core themes were identified. AI literacy highlights the importance of user understanding of AI inputs, processes, and outputs in fostering trust among patients and clinicians.…

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AI is moving quickly into healthcare, bringing potential benefits but also possible pitfalls such as bias that drives unequal care and burnout of physicians and other healthcare workers. It remains undecided how it should be regulated in the U.S. In September, the hospital-accrediting Joint Commission and the Coalition for Health AI issued recommendations for implementing artificial intelligence in medical care, with the burden for compliance falling largely on individual facilities. I. Glenn Cohen, faculty director of Harvard Law School’s Petrie-Flom Center for Health Law, Biotechnology, and Bioethics, and colleagues suggested in the Journal of the American Medical Association that the guidelines are a good start, but changes to ease likely…

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