Deep learning in surgical workflow analysis: a review of phase and step recognition
Objective: In the last two decades, there has been a growing interest in exploring surgical
procedures with statistical models to analyze operations at different semantic levels. This …
procedures with statistical models to analyze operations at different semantic levels. This …
A vision transformer for decoding surgeon activity from surgical videos
The intraoperative activity of a surgeon has substantial impact on postoperative outcomes.
However, for most surgical procedures, the details of intraoperative surgical actions, which …
However, for most surgical procedures, the details of intraoperative surgical actions, which …
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos
Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action
triplet recognition stands out as the only one aiming to provide truly fine-grained and …
triplet recognition stands out as the only one aiming to provide truly fine-grained and …
Ophnet: A large-scale video benchmark for ophthalmic surgical workflow understanding
Surgical scene perception via videos is critical for advancing robotic surgery, telesurgery,
and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and …
and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and …
[HTML][HTML] Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …
increasingly used in health care. Physicians, specialists, and other providers have started …
Cholectriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical safety and
efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing …
efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing …
Ophclip: Hierarchical retrieval-augmented learning for ophthalmic surgical video-language pretraining
Surgical practice involves complex visual interpretation, procedural skills, and advanced
medical knowledge, making surgical vision-language pretraining (VLP) particularly …
medical knowledge, making surgical vision-language pretraining (VLP) particularly …
CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection
Formalizing surgical activities as triplets of the used instruments, actions performed, and
target anatomies is becoming a gold standard approach for surgical activity modeling. The …
target anatomies is becoming a gold standard approach for surgical activity modeling. The …
Dissecting self-supervised learning methods for surgical computer vision
The field of surgical computer vision has undergone considerable breakthroughs in recent
years with the rising popularity of deep neural network-based methods. However, standard …
years with the rising popularity of deep neural network-based methods. However, standard …
RFMiD: Retinal Image Analysis for multi-Disease Detection Challenge
In the last decades, many publicly available large fundus image datasets have been
collected for diabetic retinopathy, glaucoma, and age-related macular degeneration, and a …
collected for diabetic retinopathy, glaucoma, and age-related macular degeneration, and a …