推进临床实践：多模态技术在现代医学中的潜力。

IF 3 3区医学 Q1 MEDICINE, GENERAL & INTERNAL

Journal of Clinical Medicine Pub Date : 2024-10-19 DOI:10.3390/jcm13206246

Yaara Artsi, Vera Sorin, Benjamin S Glicksberg, Girish N Nadkarni, Eyal Klang

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引用次数: 0

摘要

多模态技术将人工智能与传统诊断模式相结合，有望彻底改变临床实践。这一演变的根源可以追溯到希波克拉底的体液理论，以及使用复杂的人工智能驱动平台综合多种感官渠道的数据。历史悠久的医疗实践与现代技术之间的相互作用挑战着传统的病人与医生之间的互动，并重新定义了诊断的准确性。通过强调从神经学到放射学的应用，多模态技术的潜力显现出来，表明在未来，人工智能不仅能支持而且能增强医疗诊断中的人类感官输入。这一转变要求医学界引导伦理、实践和技术变革，重塑临床医学的格局。

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Advancing Clinical Practice: The Potential of Multimodal Technology in Modern Medicine.

Multimodal technology is poised to revolutionize clinical practice by integrating artificial intelligence with traditional diagnostic modalities. This evolution traces its roots from Hippocrates' humoral theory to the use of sophisticated AI-driven platforms that synthesize data across multiple sensory channels. The interplay between historical medical practices and modern technology challenges conventional patient-clinician interactions and redefines diagnostic accuracy. Highlighting applications from neurology to radiology, the potential of multimodal technology emerges, suggesting a future where AI not only supports but enhances human sensory inputs in medical diagnostics. This shift invites the medical community to navigate the ethical, practical, and technological changes reshaping the landscape of clinical medicine.

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来源期刊

Journal of Clinical Medicine MEDICINE, GENERAL & INTERNAL-

CiteScore

5.70

自引率

7.70%

发文量

6468

审稿时长

16.32 days

期刊介绍： Journal of Clinical Medicine (ISSN 2077-0383), is an international scientific open access journal, providing a platform for advances in health care/clinical practices, the study of direct observation of patients and general medical research. This multi-disciplinary journal is aimed at a wide audience of medical researchers and healthcare professionals. Unique features of this journal: manuscripts regarding original research and ideas will be particularly welcomed.JCM also accepts reviews, communications, and short notes. There is no limit to publication length: our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible.