Authors : Vinayak K Prasad; Hanumant P Gutte; Prashant B Ghayal; Adarsh Y Mane; Prashant Bhoir

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/bdh5zk7s

Scribd : https://tinyurl.com/536xkakt

DOI : https://doi.org/10.38124/ijisrt/IJISRT24NOV838

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Healthcare is being improved by artificial intelligence (AI) through Better diagnostic accuracy, enhanced clinical workflows, and improved patient safety which was the motivation behind the research The objective of this review was assessment of the state of the art in AI in healthcare in terms of applications, advantages, limitations and prospects and its role. The use of various subfields was presented in a previous work This study focused on literature that discuss issues related to clinical decision support systems, medical imaging, health informatics, predictive and distant applied medicine. The study suggests that it is possible to enhance the quality of diagnostics by 10-20 percent, cut down the costs by 10-15 percent and improve the patient outcomes by 15-20 percent among others. Some applications include clinical decision support systems, medical imaging, and computer-aided diagnosis systems, though these are not exhaustive. Nevertheless, AI has its own challenges such as data quality and integration, legal requirements, moral issues, human resource development and computer security. The next wave of AI in healthcare will come from various advanced technologies like precision medicine, population health management, health care robots, and AI in mental health. Farther thinking insight relates to analysis and management of the new challenges that are bound to arise, management of healthcare system using AI as well as how AI relates to health worldwide.

Keywords : Artificial Intelligence, Medicine, Clinical DDS, Medical Imaging, Medical Analytics, E-Health.

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