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September 10, 2025Journal of Multidisciplinary HealthcareOpen Access

Artificial Intelligence-Assisted Clinical Decision-Making: A Perspective on Advancing Personalized Precision Medicine for Elderly Diabetes Patients

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Authors

JHJianfeng HuSichuan Agricultural UniversityLRLijun RenNaval Medical Research CommandTWTingwen WangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine

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Implication

This analysis demonstrates AI's potential to optimize clinical outcomes in elderly diabetes patients, suggesting improved treatment adherence and risk prediction.

Key Points

  • AI integration can reduce hospitalization rates by up to 25%, improving care for elderly diabetes patients.
  • Studies show AI-assisted systems achieve diagnostic accuracy rates of up to 93.07%, enhancing treatment precision.
  • Personalized medicine driven by AI increases medication adherence by 17.9% compared to conventional methods.
  • Implementing AI in clinical settings requires addressing ethical challenges, including data standardization and patient privacy.

Cite This Study

Hu et al. (2025) studied this question.

synapsesocial.com/papers/68c1ad5554b1d3bfb60e510chttps://doi.org/10.2147/jmdh.s529190
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