Artificial Intelligence (AI) in Medicine

Abstract

Artificial intelligence (AI) is revolutionizing disease diagnostics, particularly in oncology. Machine learning and deep learning algorithms are enabling the identification of subtle patterns and biomarkers, leading to a new era of precision medicine. Convolutional Neural Networks (CNNs) are demonstrating superior accuracy and efficiency in medical image analysis compared to traditional methods. AI-powered Computer-Aided Diagnosis (CAD) systems are also significantly improving diagnostic speed and accuracy. AI has proven successful in various healthcare areas beyond diagnostics. It has facilitated epidemiological surveillance for disease tracking and forecasting. AI-powered telemedicine has increased accessibility to diagnosis and genome analysis, especially during crises like COVID-19. Additionally, AI has accelerated drug discovery through techniques like de novo drug design. However, challenges remain in implementing AI for diagnostics. These include evolving legal and policy frameworks, ethical concerns, and security risks. Healthcare professionals' resistance to change and lack of training in AI tools further hinder adoption. Finally, the rise of self-care technologies raises concerns about the future of patient care and the role of healthcare providers. To address these challenges, robust regulations are needed to ensure ethical and secure AI use in healthcare. Training initiatives for healthcare professionals are crucial for effective AI tool utilization. Collaboration between healthcare experts and technology developers is essential to create 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.

Biography

Aesha L.E. Enairat is a highly motivated Palestinian junior researcher specializing in functional imaging. She's a leader in her field, dedicated to advancing medical knowledge and patient care particularly utilizing AI techniques. Currently pursuing her Master's degree with a full scholarship, her thesis focuses on using AIto predict liver cancer. Aesha actively volnteers with over 10 medical associations, mentoring students, and has published 2 papers with 13 more submitted to reputed journals. Her ultimate goal is to improve healthcarein Palestine and beyond using innovative solutions and compassionate care.