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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.
By John Halamka and Paul Cerrato — Exercise may be an essential part of a healthy lifestyle, but convincing patients to get moving remains a challenge. Here are a few digital tools worth considering.
By John Halamka and Paul Cerrato — We can reinvent medicine by taking a more active role in fixing these barriers to good patient care, and by developing the digital tools to improve early detection of disease.
By John Halamka and Paul Cerrato — While most thought leaders in digital health believe large language models (LLM) are still too immature to guide clinical decision making, a case can be made for using them for writing medical notes and various administrative functions.
By John Halamka and Paul Cerrato — Machine learning-based algorithms can now be used to help detect atrial fibrillation, asymptomatic left ventricular systolic dysfunction, and cardiac amyloidosis. Even more digital diagnostic tools are on the drawing board.
Health system digital leaders largely agree with the results of a recent Becker's poll that found predictive analytics is the technology that holds the most promise for healthcare.
Twelve national and international health tech startups graduated as the third cohort of the Mayo Clinic Platform_Accelerate.
Mayo Clinic Platform_Accelerate celebrated the graduation of its third cohort of health tech startups, including 12 national and international innovative businesses.
By John Halamka and Paul Cerrato — Questioning the status quo and challenging conventional wisdom can result in innovative solutions to once intractable problems, but we must avoid reflexive contrarianism.
By John Halamka and Paul Cerrato — Large language models like ChatGPT have the potential to profoundly benefit and seriously harm patients. With that in mind, it makes sense to understand the underlying technology.
Pay attention to the media coverage around artificial intelligence, and it’s easy to get the sense that technologies such as chatbots pose an “existential crisis” to everything from the economy to democracy.
By John Halamka and Paul Cerrato — With so much hyperbole in the news, it’s difficult to separate false promises from genuine medical breakthroughs. Advances in genomics fall into the latter category.
The best use for generative A.I. in health care, doctors say, is to ease the heavy burden of documentation that takes them hours a day and contributes to burnout.