AI Makes Medicine More Efficient, Individual and Preventive

Joachim Hornegger ()
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Joachim Hornegger: Friedrich-Alexander Universität Erlangen-Nürnberg (FAU)

A chapter in Work and AI 2030, 2023, pp 297-304 from Springer

Abstract: Abstract Artificial intelligence has the potential to fundamentally transform medicine. Even as of today, AI programs show that they can outperform doctors in the evaluation of medical imaging data. Sensor-based monitoring in combination with self-learning algorithms shifts the focus increasingly from the clinic to the home environment, from therapy to prevention. The systematic analysis of structured information using data mining methods provides new insights into the causes of diseases and the success of medical interventions and therapies. The key will be how information is integrated in the future and how the individual retains sovereignty over his or her data.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-40232-7_33

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DOI: 10.1007/978-3-658-40232-7_33

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