Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

(2020) Lucas M. Fleuren et al.   INTENSIVE CARE MEDICINE

SurgAI: deep learning for computerized laparoscopic image understanding in gynaecology

(2020) Sabrina Madad Zadeh et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES

Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis

(2020) Shelly Soffer et al.   GASTROINTESTINAL ENDOSCOPY

Automated Surgical Instrument Detection from Laparoscopic Gastrectomy Video Images Using an Open Source Convolutional Neural Network Platform

(2020) Yuta Yamazaki et al.   JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS

Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs

(2020) Dan Milea et al.   NEW ENGLAND JOURNAL OF MEDICINE

Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic cholecystectomy

(2020) Tatsushi Tokuyasu et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES

Automatic gauze tracking in laparoscopic surgery using image texture analysis

(2020) Eusebio de la Fuente López et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Machine learning prediction in cardiovascular diseases: a meta-analysis

(2020) Chayakrit Krittanawong et al.   Scientific Reports

Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide

(2019) Shelly Soffer et al.   RADIOLOGY

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data

(2019) Sebastian Bodenstedt et al.   International Journal of Computer Assisted Radiology and Surgery

Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos

(2019) Chinedu Innocent Nwoye et al.   International Journal of Computer Assisted Radiology and Surgery

Computer Vision Analysis of Intraoperative Video

(2019) Daniel A. Hashimoto et al.   ANNALS OF SURGERY

Deep neural networks are superior to dermatologists in melanoma image classification

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach

(2019) Daichi Kitaguchi et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES

Artificial Intelligence in Surgery

(2018) Daniel A. Hashimoto et al.   ANNALS OF SURGERY

Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies

(2018) Matthew D. F. McInnes et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations

(2018) Andru Putra Twinanda et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

(2017) Andru P. Twinanda et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Learning laparoscopic video shot classification for gynecological surgery

(2017) Stefan Petscharnig et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Addressing multi-label imbalance problem of surgical tool detection using CNN

(2017) Manish Sahu et al.   International Journal of Computer Assisted Radiology and Surgery

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

(2016) Wei Luo et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist

(2014) Karel G. M. Moons et al.   PLOS MEDICINE

QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

(2013) Penny F. Whiting   ANNALS OF INTERNAL MEDICINE