Microsoft launched Copilot Health, an AI model that pulls together users’ medical records, wearable data and trusted health information. The move comes amid a wave of other tech companies announcing healthcare-focused large language models for consumers, including Anthropic, OpenAI and Amazon.

The post Microsoft Enters Healthcare Chatbot Race with Copilot Health appeared first on MedCity News.

Amazon One Medical expanded access to its AI-powered health assistant, allowing anyone on the Amazon website or app to ask medical questions, interpret lab results and connect to care if needed. The chatbot reflects a broader trend of AI becoming a first stop for Americans navigating the healthcare system.

The post Amazon One Medical CMO: AI Is the Front Door to Healthcare appeared first on MedCity News.

Google Cloud is partnering with healthcare organizations including CVS Health, Humana, Highmark Health, Quest Diagnostics and Waystar to deploy agentic AI tools across patient engagement, clinical workflows and revenue cycle management

The post CVS, Humana & More Are Turning to Google’s AI Models appeared first on MedCity News.

As OpenAI and Anthropic move deeper into healthcare, experts say AI chatbots are becoming the new front door to medicine. This shift is shaking things up for some health tech startups, redefining the patient-provider relationship, and intensifying debates over safety, privacy and accountability.

The post What Does OpenAI and Anthropic’s Healthcare Push Mean for the Industry? appeared first on MedCity News.

AI rivals Anthropic and OpenAI are both expanding their large language models into healthcare. Anthropic is blending its enterprise and consumer tools in a single platform, while OpenAI is separating its consumer-facing ChatGPT Health from its industry-focused OpenAI for Healthcare. They are both targeting patients, providers and researchers with AI tools for tasks ranging from personal health insights to coding to prior authorization.

The post Anthropic Follows OpenAI Into Healthcare: How Do Their Platforms Compare? appeared first on MedCity News.

The healthcare industry is contending with a difficult question: how to properly wield AI without taking on too much risk? Inherent in this battle is the role of humans. Here’s how Merck’s chief data officer is viewing AI.

The post For Merck, AI Puts Humans In the “Right Room” appeared first on MedCity News.

Mount Sinai researchers found that popular AI chatbots like ChatGPT and DeepSeek R1 can generate convincing but false medical information when given even a single fabricated term in a prompt. While the study underscored the need for stronger safeguards, its lead author noted that generative AI still holds major promise for reducing clinician workload if used responsibly.

The post Popular AI Chatbots Are Spreading False Medical Info, Mount Sinai Researchers Say appeared first on MedCity News.

The AI race heats up with a new kid on the block from China. How did it compare against a popular U.S. genAI engine on a simple healthcare industry question?

The post DeepSeek v. ChatGPT: Why is Healthcare So Expensive in America? (Video) appeared first on MedCity News.

By automating repetitive tasks, improving accuracy, and enabling data-driven decisions, LLMs promise to optimize processes, reduce costs, and free healthcare systems to focus on strategic goals.

The post How Large Language Models (LLMs) Will Revolutionize Healthcare Administration appeared first on MedCity News.

Large language models will soon become a much bigger part of doctors’ clinical workflows, former FDA Commissioner Scott Gottlieb said Tuesday at the 3rd Annual Summit on the Future of Rural Health Care.

The post ‘You Almost Have to Be Doing It’: Why Scott Gottlieb Thinks All Doctors Will Use LLMs Soon appeared first on MedCity News.

It’s important that we focus attention on the areas where AI is already having a significant impact. These are the practical applications that will allow the best and brightest researchers to focus on science rather than data munging.

The post We’re Overcomplicating Healthcare AI — Here’s How We Achieve Impact Beyond The Hype appeared first on MedCity News.

Researchers at the University of Massachusetts Amherst released a paper this week showing that large language models tend to hallucinate quite a bit when producing medical summaries.

The post How Often Do LLMs Hallucinate When Producing Medical Summaries? appeared first on MedCity News.

OpenAI’s GPT-4 was able to identify suicidal ideation with similar accuracy to clinicians, but in a much shorter amount of time, a new study from Brightside Health found.

The post Study: LLMs Identify Mental Health Crises with Accuracy Comparable to Clinicians appeared first on MedCity News.

Anthropic’s Claude3-Opus performed better than GPT-4, but both fell short of humans on a test of objective medical knowledge. The study was conducted by a firm developing LLMs specifically for healthcare that claim to be incorporating peer-reviewed sources of information.

The post In This Round, Humans 1, AI LLMs 0 appeared first on MedCity News.

LLMs bring great potential to help the healthcare industry center care around patients’ needs by improving communication, access, and engagement. However, LLMs also present significant challenges associated with privacy and bias that also must be considered.

The post How Large Language Models Will Improve the Patient Experience appeared first on MedCity News.

As the healthcare industry grapples with various challenges, from workforce shortages to complex coding intricacies, embracing AI can empower revenue cycle professionals to envision a future with reduced denials, optimized revenue, and fortified financial health.

The post Revolutionizing Revenue: Unleashing the Power of AI in Denials Management appeared first on MedCity News.

This month, the World Health Organization released new guidelines on the ethics and governance of LLMs in healthcare. Reactions from the leaders of healthcare AI companies have been mainly positive. However, one leader pointed out that fear or the risks associated with LLMs shouldn’t hinder innovation, and another noted that the guidance may have failed to mention a major topic.

The post How Are Healthcare AI Developers Responding to WHO’s New Guidance on LLMs? appeared first on MedCity News.

A recent academic study of the leading LLM AI models’ ability to read and interpret clinical information demonstrates the incredible power of these tools to support healthcare, but concludes that LLMs should be used as “a supplement to existing workflows rather than as a replacement for human expertise.”

The post Can AI Compose Clinical Documentation? Absolutely, but with Limits. appeared first on MedCity News.