AIMC Topic: Cataract Extraction

Clear Filters Showing 21 to 30 of 42 articles

Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study.

PloS one
Wrong-site surgeries can occur due to the absence of an appropriate surgical time-out. However, during a time-out, surgical participants are unable to review the patient's charts due to their aseptic hands. To improve the conditions in surgical time-...

Assisted phase and step annotation for surgical videos.

International journal of computer assisted radiology and surgery
PURPOSE: Annotation of surgical videos is a time-consuming task which requires specific knowledge. In this paper, we present and evaluate a deep learning-based method that includes pre-annotation of the phases and steps in surgical videos and user as...

Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos.

Scientific reports
The present study aimed to conduct a real-time automatic analysis of two important surgical phases, which are continuous curvilinear capsulorrhexis (CCC), nuclear extraction, and three other surgical phases of cataract surgery using artificial intell...

Universal artificial intelligence platform for collaborative management of cataracts.

The British journal of ophthalmology
PURPOSE: To establish and validate a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multilevel clinical scenarios and explored an AI-based medical referral pattern to improve collaborative efficien...

[Can Big Data change our practices?].

Journal francais d'ophtalmologie
The European Medicines Agency has defined Big Data by the "3 V's": Volume, Velocity and Variety. These large databases allow access to real life data on patient care. They are particularly suited for studies of adverse events and pharmacoepidemiology...

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.

Medical image analysis
Surgical tool detection is attracting increasing attention from the medical image analysis community. The goal generally is not to precisely locate tools in images, but rather to indicate which tools are being used by the surgeon at each instant. The...

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.

Medical image analysis
This paper investigates the automatic monitoring of tool usage during a surgery, with potential applications in report generation, surgical training and real-time decision support. Two surgeries are considered: cataract surgery, the most common surgi...

Natural language processing to ascertain two key variables from operative reports in ophthalmology.

Pharmacoepidemiology and drug safety
PURPOSE: Antibiotic prophylaxis is critical to ophthalmology and other surgical specialties. We performed natural language processing (NLP) of 743 838 operative notes recorded for 315 246 surgeries to ascertain two variables needed to study the compa...

Application of real-time artificial intelligence to cataract surgery.

The British journal of ophthalmology
BACKGROUND/AIMS: Artificial intelligence (AI) in Ophthalmology has yet to be applied to real-time cataract surgery. This work explores a new AI tool, developed for phacoemulsification, and evaluates its potential uses.First, our study aimed to demons...