Artificial Intelligence in Infectious Disease Clinical Practice: An Overview of Gaps, Opportunities, and Limitations.

IF 2.8 4区医学 Q2 INFECTIOUS DISEASES Tropical Medicine and Infectious Disease Pub Date : 2024-09-30 DOI:10.3390/tropicalmed9100228

Andreas Sarantopoulos, Christina Mastori Kourmpani, Atshaya Lily Yokarasa, Chiedza Makamanzi, Polyna Antoniou, Nikolaos Spernovasilis, Constantinos Tsioutis

{"title":"Artificial Intelligence in Infectious Disease Clinical Practice: An Overview of Gaps, Opportunities, and Limitations.","authors":"Andreas Sarantopoulos, Christina Mastori Kourmpani, Atshaya Lily Yokarasa, Chiedza Makamanzi, Polyna Antoniou, Nikolaos Spernovasilis, Constantinos Tsioutis","doi":"10.3390/tropicalmed9100228","DOIUrl":null,"url":null,"abstract":"<p><p>The integration of artificial intelligence (AI) in clinical medicine marks a revolutionary shift, enhancing diagnostic accuracy, therapeutic efficacy, and overall healthcare delivery. This review explores the current uses, benefits, limitations, and future applications of AI in infectious diseases, highlighting its specific applications in diagnostics, clinical decision making, and personalized medicine. The transformative potential of AI in infectious diseases is emphasized, addressing gaps in rapid and accurate disease diagnosis, surveillance, outbreak detection and management, and treatment optimization. Despite these advancements, significant limitations and challenges exist, including data privacy concerns, potential biases, and ethical dilemmas. The article underscores the need for stringent regulatory frameworks and inclusive databases to ensure equitable, ethical, and effective AI utilization in the field of clinical and laboratory infectious diseases.</p>","PeriodicalId":23330,"journal":{"name":"Tropical Medicine and Infectious Disease","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11511260/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tropical Medicine and Infectious Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/tropicalmed9100228","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}

引用次数: 0

Abstract

The integration of artificial intelligence (AI) in clinical medicine marks a revolutionary shift, enhancing diagnostic accuracy, therapeutic efficacy, and overall healthcare delivery. This review explores the current uses, benefits, limitations, and future applications of AI in infectious diseases, highlighting its specific applications in diagnostics, clinical decision making, and personalized medicine. The transformative potential of AI in infectious diseases is emphasized, addressing gaps in rapid and accurate disease diagnosis, surveillance, outbreak detection and management, and treatment optimization. Despite these advancements, significant limitations and challenges exist, including data privacy concerns, potential biases, and ethical dilemmas. The article underscores the need for stringent regulatory frameworks and inclusive databases to ensure equitable, ethical, and effective AI utilization in the field of clinical and laboratory infectious diseases.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

传染病临床实践中的人工智能：差距、机遇和局限性概述。

人工智能（AI）与临床医学的结合标志着一种革命性的转变，它能提高诊断的准确性、治疗效果和整体医疗服务。本综述探讨了人工智能在传染病领域的当前用途、优势、局限性和未来应用，重点介绍了其在诊断、临床决策和个性化医疗方面的具体应用。文中强调了人工智能在传染病领域的变革潜力，以解决在快速准确的疾病诊断、监测、疫情检测和管理以及治疗优化方面存在的差距。尽管取得了这些进步，但仍存在重大限制和挑战，包括数据隐私问题、潜在偏见和伦理困境。文章强调，有必要建立严格的监管框架和包容性数据库，以确保在临床和实验室传染病领域公平、道德和有效地利用人工智能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊