Artificial Intelligence in Medical Practice: A Comprehensive Overview
Abstract: Artificial Intelligence (AI) is revolutionizing the medical field by enhancing diagnostic accuracy and improving patient outcomes. This paper provides a comprehensive overview of the current state of AI in the medical field, its possible future prospects, highlighting its applications, benefits, challenges. Key AI technologies such as machine learning, deep learning, natural language processing, and computer vision are explored, demonstrating their roles in diagnostics, treatment recommendations, patient monitoring, and administrative tasks. The survey covers notable case studies and real-world implementations, illustrating the impact of AI on various medical specialties. Despite the significant advancements, the paper also addresses the challenges associated with AI integration, including ethical considerations, data privacy, and the need for rigorous validation and regulatory approval. By synthesizing current research and developments, this paper aims to provide a thorough understanding of how AI is transforming medical practice and to identify areas requiring further investigation and development.
Keywords: AI, Medical field, Automated, Machine Learning, Deep Learning, Natural Language Processing, Computer vision, Predictive Analysis
How to Cite?: Thendral Kabilan, "Artificial Intelligence in Medical Practice: A Comprehensive Overview ", Volume 13 Issue 7, July 2024, International Journal of Science and Research (IJSR), Pages: 1182-1189, https://www.ijsr.net/getabstract.php?paperid=SR24720091104, DOI: https://dx.doi.org/10.21275/SR24720091104