Revolutionizing Innovations and Impact of Artificial Intelligence in Healthcare

作者：Indranil Chatterjee, Rajkumar Ghosh -, Suchetan Sarkar -, Krishna Das -, Monojit Kundu · 发表于：International Journal For Multidisciplinary Research · 年份：2024 · DOI：10.36948/ijfmr.2024.v06i03.19333 · 被引用次数：9 · 研究领域：Artificial Intelligence in Healthcare and Education、Artificial Intelligence in Healthcare、COVID-19 diagnosis using AI

Artificial Intelligence (AI) is revolutionizing the healthcare sector by offering innovative solutions to various challenges. This review explores the applications and benefits of AI in healthcare including AI techniques, machine learning, natural language processing, and computer vision, which are being utilized to enhance medical diagnostics, treatment planning, patient care, and administrative processes. One significant application of AI in healthcare is medical imaging analysis. Machine learning algorithms can analyze medical images such as X-rays, MRIs, and CT scans with high accuracy, aiding in early detection and diagnosis of diseases like cancer and neurological disorders. Additionally, AI-powered predictive analytics enable healthcare providers to forecast patient outcomes and identify individuals at risk of developing certain conditions, allowing for proactive intervention and personalized treatment plans. Furthermore, AI-driven virtual health assistants and chabot’s provide patients with instant access to medical information, advice, and support, improving healthcare accessibility and patient engagement. Natural language processing algorithms enable these systems to understand and respond to patients' queries and concerns effectively. In clinical decision support systems, AI algorithms analyze vast amounts of patient data, including medical records, genetic information, and real-time physiological data, to assist healthcare professionals in making informed decision...