Year: 2025
Type: article
Abstract: Artificial Intelligence is transforming healthcare at an unprecedented pace, with recent advancements reshaping diagnostics, treatment planning, and patient care. This article explores the latest developments in AI-driven healthcare, including the rise of foundation models, multimodal AI, and generative AI applications in medical research. It discusses breakthroughs in real-time medical imaging analysis, AI-assisted drug discovery, and predictive analytics for early disease detection. Additionally, it examines advancements in federated learning for privacy-preserving AI models and the increasing integration of AI with wearable health technologies. The article also highlights regulatory updates, ethical considerations, and industry trends shaping the future of AI in healthcare, providing an in-depth look at cutting-edge innovations and their practical implications for healthcare professionals.
Author: Soham Chakraborti
Institution: Carnegie Mellon University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4411255144