Artificial Intelligence: its Future and Impact on Acute Medicine

Q3 Medicine
Acute Medicine Pub Date : 2023-07-01 DOI:10.52964/amja.0950
Michiel Schinkel, Ketan Paranjape, Sheena Charente Bhagirath, Prabath WB Nanayakkara
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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.
人工智能:未来及其对急症医学的影响
这篇评论探讨了人工智能(AI)在急性医学中的潜在影响,考虑了它的可能性和挑战。凭借其模拟人类智能的能力,人工智能有望在急性护理中支持及时决策和干预。虽然人工智能为各个部门的改善做出了重大贡献,但其在医疗保健领域的实施仍然有限。针对急性医学量身定制的人工智能工具的开发可以改善临床决策,人工智能在简化管理任务方面的作用,例如ChatGPT,可能会带来直接的好处。然而,挑战包括统一的数据收集、隐私、偏见和维护医患关系。人工智能研究人员、医疗保健专业人员和政策制定者之间的合作对于利用人工智能在急性医学中的潜力和创造一个先进技术协同提高人类专业知识的未来至关重要。
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
Acute Medicine
Acute Medicine Medicine-Emergency Medicine
CiteScore
1.50
自引率
0.00%
发文量
32
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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