AI-Enabled Healthcare Solutions: Advancements in Disease Detection and Rehabilitation Approaches

AI-Enabled Healthcare Solutions

Authors

  • Muhammad Waqas Physiotherapist, The University of Lahore, Lahore, Pakistan Author
  • Ashfaaq Ahmad Dean, Faculty of Allied Health Sciences, The University of Lahore, Lahore Pakistan Author

Keywords:

Artificial intelligence, AI, Rehabilitation, Disease Detection, Health Care

Abstract

The integration of artificial intelligence (AI) in healthcare has marked a transformative era in diagnostic tools and rehabilitation approaches, reshaping how diseases are identified, monitored, and treated. In diagnostics, AI's capability to analyze vast amounts of medical data, including imaging scans and genetic information, has enabled unprecedented precision. For instance, AI algorithms are now employed to detect early-stage cancers, interpret complex medical images, and even predict disease risks based on genomic data, bringing a new level of accuracy to the forefront of radiology, pathology, and personalized medicine. Wearable devices, powered by AI, provide continuous health monitoring, allowing real-time detection of abnormalities such as arrhythmias or glucose fluctuations, empowering both patients and clinicians with timely interventions.

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Author Biography

  • Muhammad Waqas, Physiotherapist, The University of Lahore, Lahore, Pakistan

    Physical Therapy

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Published

30.09.2024

Issue

Section

Editorial

How to Cite

AI-Enabled Healthcare Solutions: Advancements in Disease Detection and Rehabilitation Approaches: AI-Enabled Healthcare Solutions. (2024). Journal of Modern Health and Rehabilitation Sciences, 1(1), 1. https://jmhrs.com/index.php/jmhrs/article/view/5