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Artificial Intelligence in Medicine, with Dr. Yu-Chuan Jack Li
Manage episode 346245309 series 2961670
Indhold leveret af Taipei Medical University. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Taipei Medical University eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Every medical student knows that knowledge is vital for making medical diagnoses, but the process of memorization often exposes weaknesses in the human ability to retain and process data. In an increasingly digitized world where new medical data is created faster than at any previous time in history, could computing tools able to process information stored on the net be trained to reason as well as doctors? According to Yu-Chuan Jack Li, who’s pioneered AI technology in medicine for over thirty years, advances in data science, falling hardware costs, and increasingly sophisticated algorithms make now the best time ever to realize the future of AI in medicine. And with the computing tools he’s developing, like AESOP, MoleMe, and ASKiN, the future of medical AI may be closer than you think.
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