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Machine learning and medical education

#artificialintelligence

Artificial intelligence (AI) is poised to help deliver precision medicine and health.1,2 The clinical and biomedical research communities are increasingly embracing this modality to develop tools for diagnosis and prediction as well as to improve delivery and effectiveness of healthcare. New breakthroughs are being developed in an unprecedented fashion and the developed ones have obtained regulatory approval and found their way into routine medical practice.3,4,5 Yet, the medical school curriculum as well as the graduate medical education and other teaching programs within academic hospitals across the United States and around the world have not yet come to grips with educating students and trainees on this emerging technology. Several expert opinions have pointed to the benefits and limitations associated with the use of ML in medicine,1,2,6,7,8,9,10 but the aspect related to formally educating the younger generation of medical professionals has not been openly discussed.


Medicine in the Age of AI - iMedicalApps

#artificialintelligence

I first learned about artificial intelligence (AI) in healthcare during my undergraduate studies. As a biomedical engineering major planning a career in medicine, the concepts of AI in healthcare intrigued me. There was talk that these innovations could revolutionize medical practice in a way that would disrupt traditional physician roles. When I entered medical school, I expected to see these innovations translated into medical practice. The launch of Watson Health shortly after my medical school graduation instilled hope that these innovations would finally make it into my medical practice during residency training.


Artificial Intelligence In Healthcare: Separating Reality From Hype

#artificialintelligence

It's impossible to read about the future of healthcare without encountering two pixilated vowels that, together, represent the hopes and fears of an industry seeking more intelligent solutions. Though the field of artificial intelligence (AI) has been around since 1956, it has made precious few contributions to medical practice. Only recently has the hype of machine-based learning begun to merge with reality. What Is Artificial Intelligence, Really? Confusion surrounding AI – its applications in healthcare and even its definition – remains widespread in popular media.


Artificial Intelligence In Healthcare: Separating Reality From Hype

#artificialintelligence

It's impossible to read about the future of healthcare without encountering two pixilated vowels that, together, represent the hopes and fears of an industry seeking more intelligent solutions. Though the field of artificial intelligence (AI) has been around since 1956, it has made precious few contributions to medical practice. Only recently has the hype of machine-based learning begun to merge with reality. What Is Artificial Intelligence, Really? Confusion surrounding AI – its applications in healthcare and even its definition – remains widespread in popular media.


Artificial Intelligence In Healthcare: Separating Reality From Hype - The Art of Transforming Network into Networking

#artificialintelligence

It's impossible to read about the future of healthcare without encountering two pixelated vowels that, together, represent the hopes and fears of an industry seeking more intelligent solutions. Though the field of artificial intelligence (AI) has been around since 1956, it has made precious few contributions to medical practice. Only recently has the hype of machine-based learning begun to merge with reality. Confusion surrounding AI--its applications in healthcare and even its definition--remains widespread in popular media. Today, AI is shorthand for any task a computer can perform just as well as, if not better than, humans.