aceArtificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives
Healthcare systems worldwide face growing challenges, including rising costs, workforce shortages, and disparities in access and quality, particularly in low- and middle-income countries. Artificial intelligence (AI) has emerged as a transformative tool capable of addressing these issues by enhancing diagnostics, treatment planning, patient monitoring, and healthcare efficiency. AI's role in modern medicine spans disease detection, personalized care, drug discovery, predictive analytics, telemedicine, and wearab…
AI analysis of electronic health records, medical imaging and genomic data can reduce clinical errors, optimize resources and improve patient outcomes while expanding access in low-resource settings.
Deployment of AI in healthcare is limited by risks of data privacy breaches, algorithmic bias, lack of model interpretability, and gaps in regulatory oversight and human clinical oversight.
Successful deployment remains constrained by unresolved issues of data privacy, algorithmic bias, model interpretability, regulatory oversight and need for human clinical oversight.
Evidence
- Peer-reviewedEuropean Journal of Medical Research2025-09-23
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Truvace Impact Record TRV-2026-0484, v1: “Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives.” Truvace, 2026-07-22. /record/TRV-2026-0484 (accessed at citation time). sha256 406d838c028f8b5f…
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