A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Beijing University of Technology · Tsinghua University · +1 more institution
Abstract
Disease diagnosis represents a critical and arduous endeavor within the medical field. Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to large model paradigms, stand poised to significantly augment physicians in rendering more evidence-based decisions, thus presenting a pioneering solution for clinical practice. Traditionally, the amalgamation of diverse medical data modalities (e.g., image, text, speech, genetic data, physiological signals) is imperative to facilitate a comprehensive disease analysis, a topic of burgeoning interest among both researchers and clinicians in recent times. Hence, there exists a pressing need to synthesize the latest strides in…
Citation impact
- FWCI
- 61.05
- Percentile
- 100%
- References
- 183
Authors
10Topics & keywords
- Modalities
- Computer science
- Artificial intelligence
- Data science
- Realm