Artificial Intelligence Used in Medical Healthcare
Year: 2024
Type: article
Abstract: AI in healthcare leverages technologies like machine learning, natural language processing, and deep learning to improve patient care and streamline operations. By analyzing vast amounts of data, AI enhances decision-making, predicts patient outcomes, and optimizes resource management. This proactive approach allows healthcare professionals to identify potential issues earlier, personalize treatment plans, and ultimately improve overall healthcare efficiency and patient experiences. The healthcare industry is in the midst of a transformation. Healthcare systems around the world face huge issues, including a lack of access, high costs, waste, and an older population. Pandemics like the coronavirus (COVID-19) put a strain on healthcare systems, resulting in a lack of protective equipment, insufficient or erroneous diagnostic tests, overworked physicians, and a lack of information exchange, to mention a few consequences. More crucially, a healthcare catastrophe like COVID-19 or the development of the human immunodeficiency virus (HIV) in the 1980s exposes the stark reality of our health-care systems' flaws.
Authors: Chaitanya Gaikwad*, Akshada Karad, Darshan Patkar, Kaveri Jigjeni, Prof. Priyanka Panmand
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6930615440
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