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June 30, 2026Open Access

AI in Predictive Healthcare: How Artificial Intelligence and Wearable Devices are Transforming Early Disease Detection | A Systematic Literature Review (2026) | Ruchir Ganatra

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Authors

RGRuchir Ganatra

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Implication

Systematic review explores AI-powered technologies enhancing early disease detection, indicating significant advancements in predictive healthcare.

Key Points

  • This review aims to explore the role of AI in enhancing early disease detection through predictive healthcare technologies.
  • Conducted a systematic literature review of peer-reviewed articles published between 2022 and 2026.
  • Analyzed various AI techniques including CNN, LSTM, Random Forest, Federated Learning, and Explainable AI.
  • Discussed clinical applications, ethical considerations, privacy, and algorithmic bias.
  • Identified multiple AI techniques that enhance early disease detection significantly.
  • Highlighted important considerations related to clinical applications and ethical implications.
  • Established a foundation for future research directions in AI-driven healthcare.

Cite This Study

Ruchir Ganatra (2026) studied this question.

synapsesocial.com/papers/6a435c65759b888809a52dc4https://doi.org/10.5281/zenodo.20997942
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