AI-Enabled Healthcare Solutions: Advancements in Disease Detection and Rehabilitation Approaches
AI-Enabled Healthcare Solutions
Keywords:
Artificial intelligence, AI, Rehabilitation, Disease Detection, Health CareAbstract
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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Copyright (c) 2024 Journal of Modern Health and Rehabilitation Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright © 2024. Journal of Modern Health and Rehabilitation Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License