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September 10, 2025

Integrative approaches of AI in personalised disease management: From diagnosis to drug delivery

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Overview

Observational analysis reveals AI enhances personalised medicine via predictive analytics and genomic data, suggesting better patient outcomes.

Key Points

  • AI-driven tools improve patient care by enabling early diagnosis and tailored treatment strategies.
  • The integration of machine learning algorithms with medical imaging enhances data-driven approaches in clinical settings.
  • AI optimises treatment pathways and supports healthcare efficiency by streamlining administrative tasks.
  • Ethical considerations related to AI, such as data privacy and algorithmic bias, are crucial for effective implementation.

Cite This Study

A 2025 study studied this question.

synapsesocial.com/papers/68c23b08b210217d6478357chttps://doi.org/10.25163/paradise.1110339
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI in Personalized Medicines: Opportunities and Challenges2025
  2. 2AI-driven Innovations in Cancer Research and Personalized Healthcare2025
  3. 3Revolutionizing Healthcare: AI-Driven Innovations in Drug Development and Personalized Medicine2025
  4. 4Artificial Intelligence in Medicine: Transforming Diagnosis, Treatment, and Healthcare Delivery2023 · 1 citations
  5. 5The Utilization of Artificial Intelligence in Healthcare: Review, Challenges, and Future Research2025 · 2 citations