Effective models could unlock some of what is still unknown in biology and help your doctor find the right treatment.

GE HealthCare's Responsible AI Principles are designed so that AI systems we engage or develop meet the highest standards of performance, safety, and accountability.

Current regulations tend to focus on AI developers and purchasers, leaving end-users - the doctors, nurses, and clinicians ...

Ongoing education and training are essential to empower healthcare professionals to fully utilize AI's capabilities while ...

Calibrating AI to prompt the correct response is crucial as U.S. suicide rates have reached record levels, with more than ...

Key Takeaways Patients tend to prefer AI-written medical notes over those written by doctorsAI notes scored higher for ...

Working together, the humans-plus-AI should theoretically do better than either working alone. At least that is the ...

"Relatively speaking, the medical industry isn't moving as fast as other sectors in adopting AI because clinical work ...

In an era where technology is revolutionizing every industry, healthcare stands at the forefront of transformation. Ripunjaya Pattnaik, an expert in cloud computing and artificial intelligence, ...

AI medical benchmark tests fall short because they don’t test efficiency on real tasks such as writing medical notes, experts say.

One of the key strengths of AI models was their ability to provide concise, easy-to-understand explanations of medical terms.

Medical errors are the third leading cause of death in the U.S., contributing to over 250,000 preventable deaths each year.