Artificial intelligence (AI) is revolutionizing disease diagnostics, particularly in oncology. Machine learning and deep learning algorithms enable the identification of subtle patterns and biomarkers, ushering in a new era of precision medicine. Convolutional Neural Networks (CNNs) demonstrate superior accuracy and efficiency in medical image analysis compared to traditional methods. AI-powered Computer-Aided Diagnosis (CAD) systems significantly enhance diagnostic speed and accuracy. Beyond diagnostics, AI has transformed various healthcare areas. It has facilitated epidemiological surveillance for disease tracking and forecasting. AI-powered telemedicine has improved access to diagnosis and genome analysis, particularly during crises like COVID-19. Additionally, AI has accelerated drug discovery through techniques such as de novo drug design. However, challenges remain in implementing AI for diagnostics. These include evolving legal and policy frameworks, ethical concerns, and security risks. Resistance to change among healthcare professionals and a lack of AI training further hinder adoption. Moreover, the rise of self-care technologies raises concerns about the future of patient care and the evolving role of healthcare providers. To address these challenges, robust regulations are needed to ensure the ethical and secure use of AI in healthcare. Training initiatives for healthcare professionals are crucial for the effective utilization of AI tools. Collaboration between healthcare experts and technology developers is essential to creating user-friendly AI solutions that seamlessly integrate into existing workflows. By leveraging AI as a complementary tool, healthcare can achieve better patient outcomes and more effective disease detection and treatment.

Conference Title

6th Asian Conference on Science, Technology & Medicine

Conference Country

United Arab Emirates

Conference Date

Feb. 25, 2025 - Feb. 26, 2025

Conference Sponsor

ACSTM

Additional Info

Conference Website