推进临床实践：现代医学中多模态技术的潜力。
Advancing Clinical Practice: The Potential of Multimodal Technology in Modern Medicine.
作者信息
Artsi Yaara, Sorin Vera, Glicksberg Benjamin S, Nadkarni Girish N, Klang Eyal
机构信息
Azrieli Faculty of Medicine, Bar-Ilan University, Zefat 1311502, Israel.
Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
出版信息
J Clin Med. 2024 Oct 19;13(20):6246. doi: 10.3390/jcm13206246.
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.
多模态技术有望通过将人工智能与传统诊断方式相结合来彻底改变临床实践。这一演变可追溯到希波克拉底的体液学说，直至使用复杂的人工智能驱动平台，这些平台能整合来自多个感官渠道的数据。历史医学实践与现代技术之间的相互作用挑战了传统的医患互动，并重新定义了诊断准确性。从神经学到放射学的应用中可以看出多模态技术的潜力，这表明未来人工智能不仅能支持，还能增强医学诊断中的人类感官输入。这种转变促使医学界应对正在重塑临床医学格局的伦理、实践和技术变革。
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