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Featured
Can AI Models Improve Diagnosis of Pancreatic Cancer?
By John Halamka and Paul Cerrato—Pancreatic cancer remains one of the most life-threatening malignancies because it is so difficult to detect in its earliest, most manageable stage. Recent developments in AI, however, suggest it may be possible to improve the diagnostic process.
Through his position at Rochester, Minnesota-based Mayo Clinic, Dr. John Halamka collaborates with developers, data partners and service providers with an eye toward transforming healthcare.
Hospital and health system CEOs hold singularly powerful opportunities to shape the future of healthcare, thanks to their high-profile roles and broad influence.
Healthcare organizations must carefully vet AI tools, address patient concerns and keep an eye on standards and regulation, according to industry experts who spoke at a Healthcare Dive virtual event.
By John Halamka and Paul Cerrato — All the good things in the world worth believing, and among those good things are the therapeutic power of kindness and the healing effects of music.
By John Halamka, Paul Cerrato, and Sonya Makhni — How do you construct a safe, effective algorithm? It’s not an easy question to answer, but with a well thought out roadmap, it’s doable.
Becker's asked C-suite executives from hospitals and health systems across the U.S. to share their most beneficial partnerships in 2024.
Artificial intelligence continues to make headlines and dominates a lot of the discussions across the healthcare industry.
Mayo Clinic Platform_Accelerate has announced a strategic agreement with the Japan External Trade Organization (JETRO) to implement a two-phase program aimed at enhancing U.S. healthcare and business immersion opportunities for Japanese health technology companies.
By John Halamka and Paul Cerrato — Even the most accurate algorithm is useless if it can’t be seamlessly implemented into a hospital’s workflow. Here’s a way to make that happen.
Because there are barriers to adoption and trust, solutions need to be useful, be transparent around information that goes into performance and be safe, fair and cybersecure, says Dr. Sonya Makhni, medical director of applied informatics at Mayo Clinic Platform.
By John Halamka, Paul Cerrato, and Teresa Atkinson — Many clinicians are well aware of the shortcomings of LLMs, but studies suggest that retrieval-augmented generation could help address these problems.
As artificial intelligence tools continue to advance, the transformative potential in healthcare is becoming increasingly clear.