A systematic review on artificial intelligence in robot-assisted surgery

The PRISMA 2020 statement: An updated guideline for reporting systematic reviews

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Predicting intra-operative and postoperative consequential events using machine-learning techniques in patients undergoing robot-assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study

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The automaton as a surgeon: the future of artificial intelligence in emergency and general surgery

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Deep learning using preoperative magnetic resonance imaging information to predict early recovery of urinary continence after robot‐assisted radical prostatectomy

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Application of artificial intelligence in surgery

(2020) Xiao-Yun Zhou et al.   Frontiers of Medicine

Automatic Microsurgical Skill Assessment Based on Cross-Domain Transfer Learning

(2020) Dandan Zhang et al.   IEEE Robotics and Automation Letters

Machine learning in the optimization of robotics in the operative field

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Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery – A Feasibility Study

(2020) Aleks Attanasio et al.   IEEE Robotics and Automation Letters

Sensor-based indicators of performance changes between sessions during robotic surgery training

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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

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Impact of data on generalization of AI for surgical intelligence applications

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Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery

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A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery

(2019) Beiqun Zhao et al.   JOURNAL OF MEDICAL SYSTEMS

Automatic and near real-time stylistic behavior assessment in robotic surgery

(2019) M. Ershad et al.   International Journal of Computer Assisted Radiology and Surgery

A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy

(2019) Andrew J. Hung et al.   BJU INTERNATIONAL

Artificial Intelligence and the Future of Surgical Robotics

(2019) Sandip Panesar et al.   ANNALS OF SURGERY

Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks

(2019) Robert DiPietro et al.   International Journal of Computer Assisted Radiology and Surgery

Video-based surgical skill assessment using 3D convolutional neural networks

(2019) Isabel Funke et al.   International Journal of Computer Assisted Radiology and Surgery

Current status of artificial intelligence applications in urology and their potential to influence clinical practice

(2019) Jian Chen et al.   BJU INTERNATIONAL

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

(2019) Hassan Ismail Fawaz et al.   International Journal of Computer Assisted Radiology and Surgery

Novel evaluation of surgical activity recognition models using task-based efficiency metrics

(2019) Aneeq Zia et al.   International Journal of Computer Assisted Radiology and Surgery

A machine learning approach to predict surgical learning curves

(2019) Yuanyuan Gao et al.   SURGERY

Artificial intelligence and robotics: a combination that is changing the operating room

(2019) Iulia Andras et al.   WORLD JOURNAL OF UROLOGY

Artificial Intelligence in Surgery

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

Use of machine learning to predict early biochemical recurrence following robotic prostatectomy

(2018) Nathan C. Wong et al.   BJU INTERNATIONAL

Distribution of innate psychomotor skills recognized as important for surgical specialization in unconditioned medical undergraduates

(2018) Andrea Moglia et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES

A model for predicting the GEARS score from virtual reality surgical simulator metrics

(2018) Ariel Kate Dubin et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES

Automated surgical skill assessment in RMIS training

(2018) Aneeq Zia et al.   International Journal of Computer Assisted Radiology and Surgery

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

(2018) Tobias Ross et al.   International Journal of Computer Assisted Radiology and Surgery

Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery

(2018) Somayeh B. Shafiei et al.   Scientific Reports

Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery

(2018) Andrew J. Hung et al.   JAMA Surgery

Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery

(2018) Ziheng Wang et al.   International Journal of Computer Assisted Radiology and Surgery

Can machine-learning algorithms replace conventional statistics?

(2018) Andrew J. Hung   BJU INTERNATIONAL

Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery

(2018) Shane O'Sullivan et al.   International Journal of Medical Robotics and Computer Assisted Surgery

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

(2018) Eric J. Topol   NATURE MEDICINE

A computer vision technique for automated assessment of surgical performance using surgeons’ console-feed videos

(2018) Amir Baghdadi et al.   International Journal of Computer Assisted Radiology and Surgery

“Deep-Onto” network for surgical workflow and context recognition

(2018) Hirenkumar Nakawala et al.   International Journal of Computer Assisted Radiology and Surgery

A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery

(2017) Narges Ahmidi et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection

(2017) Duygu Sarikaya 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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated robot-assisted surgical skill evaluation: Predictive analytics approach

(2017) Mahtab J. Fard et al.   International Journal of Medical Robotics and Computer Assisted Surgery

Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning

(2017) Sanjay Krishnan et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach

(2017) Angelica I. Aviles et al.   IEEE Transactions on Haptics

Temporal clustering of surgical activities in robot-assisted surgery

(2017) Aneeq Zia et al.   International Journal of Computer Assisted Radiology and Surgery

AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both

(2017) Beverley J Shea et al.   BMJ-British Medical Journal

AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both

(2017) Beverley J Shea et al.   BMJ-British Medical Journal

Surgical data science for next-generation interventions

(2017) Lena Maier-Hein et al.   Nature Biomedical Engineering

Supervised autonomous robotic soft tissue surgery

(2016) Azad Shademan et al.   Science Translational Medicine

System events: readily accessible features for surgical phase detection

(2016) Anand Malpani et al.   International Journal of Computer Assisted Radiology and Surgery

Endoscopic scene labelling and augmentation using intraoperative pulsatile motion and colour appearance cues with preoperative anatomical priors

(2016) Masoud S. Nosrati et al.   International Journal of Computer Assisted Radiology and Surgery

Distribution of innate ability for surgery amongst medical students assessed by an advanced virtual reality surgical simulator

(2014) Andrea Moglia et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES