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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Vera Sorin, Benjamin Scott Glicksberg, Eyal Klang, Girish N. Nadkarni et al.
19 citations
Journal of Clinical Medicine
Artificial Intelligence in Healthcare and Education
2.29
article

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

Vera Sorin, Benjamin Scott Glicksberg, Eyal Klang, Girish N. Nadkarni, Yaara Artsi
article en
19 citations

Abstract

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.

Journal of Clinical MedicineVol. 13(20)
Mayo Clinic (US), Bar-Ilan University (IL), WinnMed (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
2.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.