An open access journal
Advancing Healthcare Technologies and Biomedical Innovations
Abstract
This paper explores the transformative role of AI-driven engineering in advancing healthcare technologies and biomedical innovations. Through case studies and research insights, it examines how artificial intelligence is revolutionizing various aspects of healthcare, including disease diagnosis, treatment planning, and drug discovery. The study highlights the application of AI techniques such as machine learning, deep learning, and natural language processing in analyzing medical images, genomic data, and electronic health records to improve diagnostic accuracy, personalize treatment regimens, and accelerate drug development. Additionally, it discusses the integration of AI with emerging technologies such as wearable sensors, telemedicine, and medical robotics to enhance patient care, remote monitoring, and surgical interventions. The paper also addresses challenges such as data privacy, regulatory compliance, and ethical considerations in the adoption of AI-driven engineering solutions in healthcare. It emphasizes the need for interdisciplinary collaboration, regulatory frameworks, and evidence-based practices to harness the full potential of AI in transforming healthcare delivery and improving patient outcomes.
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