Real-time AI architectures for intraoperative surgical workflow: from temporal modeling and multi-modal fusion to efficient edge deployment

Authors

Institutions

Publication Details

Journal
BMC Artificial Intelligence
Published
2026-11-01
DOI
https://doi.org/10.1186/s44398-026-00038-5
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-time AI architectures for intraoperative surgical workflow: from temporal modeling and multi-modal fusion to efficient edge deployment

Minal Kharat, Naivedhya Agrawal
1 links
BMC Artificial Intelligence
Surgical Simulation and Training
article

Real-time AI architectures for intraoperative surgical workflow: from temporal modeling and multi-modal fusion to efficient edge deployment

Minal Kharat, Naivedhya Agrawal
article en

Abstract

No abstract available for this paper.
BMC Artificial IntelligenceVol. 2(1)
SMS Medical College (IN)
Openalex Percentile: Top 10%
Surgical Simulation and Training
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.

Laika access coming soon
Real-time AI architectures for intraoperative surgical workflow: from temporal modeling and multi-modal fusion to efficient edge deployment — Minal Kharat, Naivedhya Agrawal · BMC Artificial Intelligence (2026) | TGRS Research Map | TGRS