Artificial Intelligence in Healthcare Innovation
Abstract Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, improving treatment efficiency, and enabling personalized care. Machine learning algorithms analyze large datasets, from medical imaging to genomics, for early detection of diseases such as cancer and Alzheimer’s. AI-powered tools accelerate drug discovery, optimize clinical trials, and reduce development timelines. Robotic-assisted surgeries, predictive analytics, and virtual assistants further improve precision, reduce recovery times, and provide real-time patient monitoring. Despite its potential, AI adoption faces challenges including data privacy, algorithmic bias, and accessibility gaps. Overall, AI signifies a paradigm shift toward data-driven, proactive, and patient-centered healthcare systems, ensuring improved outcomes and equitable care delivery.
Institutions
- G.S. Science, Arts And Commerce College (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-31
- DOI
- https://doi.org/10.5281/zenodo.17139427
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00