Artificial intelligence powers digital medicine

By Alexander L. Fogel, Joseph C. Kvedar. 2018

364 citations recorded by the source corpus.

Artificial intelligence (AI) has recently surpassed human performance in several domains, and there is great hope that in healthcare, AI may allow for better prevention, detection, diagnosis, and treatment of disease. While many fear that AI will disrupt jobs and the physician–patient relationship, we believe that AI can eliminate many repetitive tasks to clear the way for human-to-human bonding and the application of emotional intelligence and judgment. We review several recent studies of AI applications in healthcare that provide a view of a future where healthcare delivery is a more unified, human experience.

Subfields: Applied Psychology, Artificial Intelligence, Health Informatics

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Citations in the corpus

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine (2020, background): “AI in healthcare for better prevention, detection, diagnosis and treatment of disease (31)”
The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare. (2021, background): “1 Results are therefore difficult to extrapolate to reality.”
Ethics and governance of trustworthy medical artificial intelligence (2023, background): “In the future, medical AI may fundamentally change the medical model and decision-making mode [11, 12] and even replace humans or surpass them.”
Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI (2021, background): “9 10 The training of such systems is typically done with thousands of data points.”