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.
Precision medicine offers a path for healthcare to become more proactive, more personalized, and more effective for every individual with a far more sustainable cost curve.
Arbiter’s Anjali Jameson on hospital and payer alignment.
Mass General Brigham spun out a new company offering a generative AI platform that can rapidly interpret both structured and unstructured clinical data. Right now, the tool’s primary application is to accelerate and improve the accuracy of patient screening for clinical trials.
Translucent AI raised $7 million in seed funding to help healthcare providers better manage mounting financial pressures. Its AI-powered platform is designed to give hospital leaders instant, plain-language answers to complex financial questions.
If you want your company’s website to pop up on the right side of an AI-generated response, it’s crucial to build rich, authoritative content so that AI crawlers find your site and use your information to generate these overviews, leading patients to your digital front door. Here are some practical ways to do that.
We’re stepping into a moment that will undoubtedly redefine care delivery across the medical landscape — it’s one we can’t afford to fumble.
Zelis highlights how employers, payers, and consumers are integrating digital tools to manage healthcare costs.
Quest Diagnostics teamed up with Google Cloud. The collaboration seeks to deliver new AI capabilities — including predictive population health analytics, customized physician results reporting and individualized patient engagement.
The current wave of generative AI has captured public imagination, but we must temper our expectations. While these models demonstrate impressive capabilities in processing vast amounts of medical literature and generating coherent text, they're far from perfect.
AI-generated simulations can standardize diversity in exposure by creating virtual patients from varied backgrounds, each with unique risk factors and life experiences.
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?
MedCity News was at the Vive conference and spoke with executives who shared their insights for the healthcare industry.
Thomas Senderovitz, senior vice president of data science at Novo Nordisk, challenges conventional notions about AI and the need for humans in the loop.
Dr. Eric Topol pointed out that while initial findings on generative AI in clinical settings are promising, they may not withstand the complexities of real-world clinical practice.
Dexcom recently became the first medical device company to embed generative AI into a continuous glucose monitor. Adding generative AI to the company’s Stelo glucose monitor will give users more personalized recommendations about how to improve their metabolic health, said Dexcom COO Jake Leach.
Pharmaceutical and biotech companies are using generative AI to predict drug-target interactions, optimize lead compounds, and generate novel molecular structures. During the recent MedCity News INVEST Digital Health conference, a panel discussed these applications and more.
Providers should carefully evaluate how different AI models can be strategically integrated to optimize the care management lifecycle and address the complex needs of their patients and populations, while at the same time prioritizing patient safety and ethical considerations.