AbstractBackground: This study explores the role of artificial intelligence (AI) in healthcare, basic medical sciences, and disease treatment, with a focus on strategies to enhance the accuracy and speed of diagnosis. Advances in AI technologies have significantly transformed the traditional medical environment. Diagnostic approaches based on radiology, pathology, endoscopy, ultrasound, and biochemical analyses have been improved through AI, enabling higher accuracy and reduced human workload. Objective: The objective of this review is to provide an overview of the current applications of AI in medicine and to highlight future perspectives.Methods: A comprehensive literature review was conducted using databases such as PubMed, ResearchGate, Web of Science, Scopus, and Google Scholar. Relevant studies on AI applications in clinical and paraclinical fields were analyzed.Results: AI algorithms and deep learning tools have shown potential to support physicians in healthcare management, medical education, early disease detection, drug prescription, and paraclinical assessments. AI has also enhanced treatment processes throughout post-surgical care and recovery. Current clinical applications extend to diagnostic laboratories, endoscopy, pathology, radiology, and ultrasound, where AI contributes to improved precision and efficiency.Conclusion: AI is increasingly becoming an integral component of modern healthcare and medical sciences, offering transformative solutions for clinical practice and research. However, successful implementation requires careful consideration of its strengths, limitations, and the unresolved challenges concerning ethics and legal frameworks. Future efforts should focus on establishing guidelines that enable the safe and effective adoption of AI in medicine.
Sammak et al. (Thu,) studied this question.