AI in Healthcare: Transforming Patient Care, Diagnosis, And Treatment

Mohammed Nadeem Ansari () and Nazia Tasleem ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 6, issue 1, 727-744

Abstract: Artificial Intelligence (AI) is revolutionizing modern healthcare by significantly enhancing clinical decision-making, streamlining operational workflows, and delivering advanced, patient-centered care (Smith & Zhao, 2021). This research article explores AI's pivotal role in contemporary healthcare systems, focusing on its ability to improve diagnostic accuracy, support personalized treatment planning, and enable predictive outcome modeling (Johnson et al., 2020). In particular, it examines the practical applications of AI in analyzing medical imaging, screening electronic health records (EHRs), conducting predictive analytics, and providing virtual health support each addressing persistent challenges in medical practice (Lee & Chen, 2019; Thomas & Arora, 2022). The study also evaluates the obstacles hindering AI's widespread integration, including ethical dilemmas, technical limitations, and regulatory challenges related to data privacy, algorithmic bias, and system compatibility (Nguyen, 2020; Patel & Green, 2023). Furthermore, the article explores the future trajectory of AI in healthcare, emphasizing the necessity for interdisciplinary collaboration between healthcare professionals and technology developers. Such cooperation is essential to harness AI’s full potential while safeguarding patient rights and promoting equitable access to high-quality healthcare services (Martin & Davis, 2021).

Keywords: Artificial Intelligence in Healthcare; Medical Diagnostics; Precision Medicine; Predictive Analytics; Data Privacy and Ethics (search for similar items in EconPapers)
Date: 2024
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