The thought leaders in our community are good about sharing their thoughts on the issues of today. Here are the top read and shared guest posts of December that we think deserve sharing again.
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By William Hersh MD – It has been my practice in this blog in my last post of each year to reflect back on the year. Not so much to review everything that happened, but rather to give some general thoughts about what the field, my work in it, and this blog have accomplished and where things are going.
The thought leaders in our community are good about sharing their thoughts on the issues of today. Here are the top read and shared guest posts of November that we think deserve sharing again.
By William Hersh MD – Although I consider artificial intelligence (AI) to be part of biomedical informatics, there is no question that AI has become very important on its own, in and beyond biomedicine and health. This is certainly reflected in the introductory course I teach to graduate, continuing education, and medical students.
By William Hersh – I recently published a paper in the journal npj Digital Medicine looking at how well generative artificial intelligence (AI) systems perform in my well-known introductory biomedical and health informatics course.
By William Hersh MD – A new generative artificial intelligence study presents some interesting findings. Physicians randomized to conventional information resources plus or minus ChatGPT-4 showed no significant difference in their ability to solve diagnostic vignettes.
By William Hersh MD – How much of the hype for artificial intelligence that will truly impact health, healthcare, and research is an unknown. The potential benefits are unequivocal.
By William Hersh, MD – When I was putting the finishing touches on the 4th edition of my textbook on information retrieval in the domain on biomedicine and health in 2020, I wondered whether the major problems in the field of IR were mostly solved.
By William Hersh MD – A number of interesting papers on physician competencies in artificial intelligence have been published recently, and there is no question that all 21st century healthcare professions must have a thorough understanding of the benefits and limitations of AI that they are likely to use in their clinical work.