{"title":"Artificial Intelligence: its Future and Impact on Acute Medicine","authors":"Michiel Schinkel, Ketan Paranjape, Sheena Charente Bhagirath, Prabath WB Nanayakkara","doi":"10.52964/amja.0950","DOIUrl":null,"url":null,"abstract":"This commentary explores the potential impact of artificial intelligence (AI) in acute medicine, considering its possibilities and challenges. With its ability to simulate human intelligence, AI holds the promise for supporting timely decision-making and interventions in acute care. While AI has significantly contributed to improvements in various sectors, its implementation in healthcare remains limited. The development of AI tools tailored to acute medicine can improve clinical decision-making, and AI’s role in streamlining administrative tasks, exemplified by ChatGPT, may offer immediate benefits. However, challenges include uniform data collection, privacy, bias, and preserving the doctor-patient relationship. Collaboration among AI researchers, healthcare professionals, and policymakers is crucial to harness the potential of AI in acute medicine and create a future where advanced technologies synergistically enhance human expertise.","PeriodicalId":39743,"journal":{"name":"Acute Medicine","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acute Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52964/amja.0950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
This commentary explores the potential impact of artificial intelligence (AI) in acute medicine, considering its possibilities and challenges. With its ability to simulate human intelligence, AI holds the promise for supporting timely decision-making and interventions in acute care. While AI has significantly contributed to improvements in various sectors, its implementation in healthcare remains limited. The development of AI tools tailored to acute medicine can improve clinical decision-making, and AI’s role in streamlining administrative tasks, exemplified by ChatGPT, may offer immediate benefits. However, challenges include uniform data collection, privacy, bias, and preserving the doctor-patient relationship. Collaboration among AI researchers, healthcare professionals, and policymakers is crucial to harness the potential of AI in acute medicine and create a future where advanced technologies synergistically enhance human expertise.
期刊介绍：
These are usually commissioned by the editorial team in accordance with a cycle running over several years. Authors wishing to submit a review relevant to Acute Medicine are advised to contact the editor before writing this. Unsolicited review articles received for consideration may be included if the subject matter is considered of interest to the readership, provided the topic has not already been covered in a recent edition. Review articles are usually 3000-5000 words and may include tables, pictures and other figures as required for the text. Include 3 or 4 ‘key points’ summarising the main teaching messages.
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