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International Journal of Advances in Computer Science and Cloud Computing (IJACSCC)-IJACSCC
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Volume Issue
Volume-11,Issue-2  ( Nov, 2023 )
Paper Title
Analysis of Healthcare in Artificial Intelligence
Author Name
Avinash Yadav, Alok Kumar Yadav, Prabhat Kumar
Man-made consciousness (man-made intelligence) has emerged as a game-changing force in the healthcare sector, providing exceptional opportunities to work on silent contemplation, advance diagnostics, improve asset allocation, and inspire creative solutions. This test paper aims to study the role of artificial intelligence in healthcare by examining its uses, benefits, challenges, and long-term implications. The investigation begins with a description of artificial intelligence in medical contexts, characterising it, and investigating its potential extensions and uses there. The study examines the development of computer-based intelligence in medical care, highlighting significant accomplishments and advancements that have contributed to its current state. Additionally, it delves into the tight challenges faced by the medical care sector and demonstrates how artificial intelligence may effectively manage these challenges. The applications of artificial intelligence in healthcare are many, varied, and difficult. The research examines the use of artificial intelligence in demonstrative imaging, demonstrating its improvement of image recognition, inspection, and PC-aided discovery and discovering. Additionally, it looks at how artificial intelligence techniques might extract important information from Electronic Health Records (EHR) and enable scenario analysis for focused, calm consideration. With a focus on virtual screening, atomic demonstrating, and customised medicine, the role of artificial intelligence in drug disclosure and improvement is examined. The research also looks at how wearable technology may be used to provide remote conferences and continuous observation via telemedicine and remote understanding checks. Additionally, the integration of artificial intelligence with clinical decision-making emotional support networks is discussed, demonstrating the potential for evidence-based recommendations, alerts, and treatment planning. The benefits of computer-based intelligence in medical services are substantial, ranging from improved patient outcomes and enhanced asset assignment to worked-on demonstrable accuracy. However, there are also challenges and limitations, including as ethical considerations, patient protection issues, confidence in artificial intelligence systems, and logistical challenges. These problems are addressed throughout the study to provide a thorough understanding of the setting.
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