
Healthcare’s Next Chapter: Agentic AI Meets Human-Centric Innovation
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.
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.
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?
Thomas Senderovitz, senior vice president of data science at Novo Nordisk, challenges conventional notions about AI and the need for humans in the loop.
This webinar will explore how a banking platform approach could be the resource for your company.
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.
Fair Square Medicare launched a new generative AI platform called Vox. It's meant to be used by Medicare carriers and brokerages and has three main features: AI voice agents, generative AI-driven insights and AI-powered coaching.
By prioritizing data accuracy and interoperability, stakeholders can begin to unlock the potential of AI in healthcare.
Hospitals need to start thinking about ways to build patients’ trust in generative AI in order for the healthcare industry to fully harness the technology’s potential. They can do this through methods like having transparent conversations, asking for patients’ consent to use the tools and training models on internal data, experts said.
A new startup launched at the SynBioBeta conference. The company, called CybergenX, is seeking to integrate AI-powered cybergenetic technology into the synthetic biology field. By doing this, CybergenX is seeking to accelerate the potential of engineering biology in drug manufacturing.
Mass General Brigham researchers conducted a study to learn more about the efficacy of large language models when used to draft responses to patient messages in the EHR. The results showed that these AI tools can do a good job at reducing physicians’ workloads and improving patient education — but also that these tools have limitations that require human oversight.