• Arun Rabindra Katwaroo, Vivek Shanker Adesh, Amrita Lowtan, and Srikanth Umakanthan.
• Department of Medicine, Trinidad Institute of Medical Technology, St Augustine, Trinidad and Tobago.
• Postgrad Med J. 2024 Apr 22; 100 (1183): 289296289-296.

AbstractIn the evolution of modern medicine, artificial intelligence (AI) has been proven to provide an integral aspect of revolutionizing clinical diagnosis, drug discovery, and patient care. With the potential to scrutinize colossal amounts of medical data, radiological and histological images, and genomic data in healthcare institutions, AI-powered systems can recognize, determine, and associate patterns and provide impactful insights that would be strenuous and challenging for clinicians to detect during their daily clinical practice. The outcome of AI-mediated search offers more accurate, personalized patient diagnoses, guides in research for new drug therapies, and provides a more effective multidisciplinary treatment plan that can be implemented for patients with chronic diseases. Among the many promising applications of AI in modern medicine, medical imaging stands out distinctly as an area with tremendous potential. AI-powered algorithms can now accurately and sensitively identify cancer cells and other lesions in medical images with greater accuracy and sensitivity. This allows for earlier diagnosis and treatment, which can significantly impact patient outcomes. This review provides a comprehensive insight into diagnostic, therapeutic, and ethical issues with the advent of AI in modern medicine.© The Author(s) 2023. Published by Oxford University Press on behalf of Fellowship of Postgraduate Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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