This blog discusses AI Innovations in Healthcare and provides examples of where AI is advancing to increase leadership knowledge. A reference to the The AI Dilemma, a new book by Dr. Cindy Gordon ...

By collaborating with hospitals and health systems across Connecticut, we are pooling our expertise and resources to shape the right guardrails for trustworthy AI…” ...

The U.S. healthcare system faces numerous challenges, including high costs, inefficiencies, and difficulties in accessing quality care. Deepan Vishal, a senior data scientist with over 12 years of ...

The White House released its AI Action Plan on Wednesday which focuses on deregulating the technology, establishing ...

Lakshmi Kalyani Chinthala is fast becoming a recognisable name at the intersection of artificial intelligence, healthcare ...

In heavily regulated industries such as healthcare, digital innovation can be slow to progress, but when adopted correctly, can have tremendous value. What's the truth about AI adoption in ...

Microsoft's Transformative Healthcare AI Leap. At the heart of these innovations are new healthcare AI models in Azure AI Studio, designed to integrate and analyze diverse medical data types ...

Biotechnology innovations are revolutionizing healthcare with AI, data science, and automation, leading to more precise and personalized treatments.

We’re also seeing a wave of AI innovations that empower health systems to deliver hybrid care at scale to enhance access and improve outcomes. At Spectrum Health, which sees more than 200,000 ...

Since artificial intelligence analyzes patient data to create customized treatment plans based on genetics, lifestyle and medical history, AI-powered healthcare innovations are deemed a stepping stone ...

Breast cancer continues to be a significant global health challenge and the leading cause of cancer-related deaths among women. Artificial Intelligence is playing an increasingly vital role in ...

The healthcare sector is rapidly embracing artificial intelligence (AI), from predictive diagnostics and clinical decision support to ...