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.
Authors
- Vera Sorin (ORCID: https://orcid.org/0000-0003-0509-4686)
- Benjamin Scott Glicksberg (ORCID: https://orcid.org/0000-0003-4515-8090)
- Eyal Klang (ORCID: https://orcid.org/0000-0002-4567-3108)
- Girish N. Nadkarni (ORCID: https://orcid.org/0000-0001-6319-4314)
- Yaara Artsi (ORCID: https://orcid.org/0009-0008-0766-5191)
Institutions
- Mayo Clinic (US)
- Bar-Ilan University (IL)
- WinnMed (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2024-10-19
- DOI
- https://doi.org/10.3390/jcm13206246
- Citations
- 19
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.29