Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin.

IF 1.9 Q3 PATHOLOGY

Clinical Pathology Pub Date : 2024-01-22 eCollection Date: 2024-01-01 DOI:10.1177/2632010X241226887

Md Ashrafur Rahman, Evangelos Victoros, Julianne Ernest, Rob Davis, Yeasna Shanjana, Md Rabiul Islam

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Abstract

The influence of artificial intelligence (AI) has drastically risen in recent years, especially in the field of medicine. Its influence has spread so greatly that it is determined to become a pillar in the future medical world. A comprehensive literature search related to AI in healthcare was performed in the PubMed database and retrieved the relevant information from suitable ones. AI excels in aspects such as rapid adaptation, high diagnostic accuracy, and data management that can help improve workforce productivity. With this potential in sight, the FDA has continuously approved more machine learning (ML) software to be used by medical workers and scientists. However, there are few controversies such as increased chances of data breaches, concern for clinical implementation, and potential healthcare dilemmas. In this article, the positive and negative aspects of AI implementation in healthcare are discussed, as well as recommended some potential solutions to the potential issues at hand.

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人工智能（AI）技术对医疗保健行业的影响：对硬币两面的批判性评估。

近年来，人工智能（AI）的影响力急剧上升，尤其是在医学领域。人工智能的影响力已经如此之大，以至于它将成为未来医学世界的支柱。我们在 PubMed 数据库中对与医疗保健领域的人工智能相关的文献进行了全面搜索，并从合适的文献中检索到了相关信息。人工智能在快速适应、高诊断准确性和数据管理等方面表现出色，有助于提高工作效率。鉴于这一潜力，美国食品和药物管理局不断批准更多机器学习（ML）软件供医务工作者和科学家使用。然而，也存在一些争议，如数据泄露的几率增加、临床实施方面的担忧以及潜在的医疗困境。本文将讨论人工智能在医疗保健领域应用的积极和消极方面，并推荐一些解决当前潜在问题的潜在方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical Pathology PATHOLOGY-

CiteScore

2.20

自引率

7.70%

发文量