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AI Makes Medicine More Efficient, Individual and Preventive

In: Work and AI 2030

Author

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  • Joachim Hornegger

    (Friedrich-Alexander Universität Erlangen-Nürnberg (FAU))

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.

Suggested Citation

  • Joachim Hornegger, 2023. "AI Makes Medicine More Efficient, Individual and Preventive," Springer Books, in: Inka Knappertsbusch & Kai Gondlach (ed.), Work and AI 2030, pages 297-304, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40232-7_33
    DOI: 10.1007/978-3-658-40232-7_33
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