标题
Surgical data science – from concepts toward clinical translation
作者
关键词
Surgical data science, Artificial intelligence, Deep learning, Computer aided surgery, Clinical translation
出版物
MEDICAL IMAGE ANALYSIS
Volume 76, Issue -, Pages 102306
出版商
Elsevier BV
发表日期
2021-11-19
DOI
10.1016/j.media.2021.102306
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- A Computer Vision Platform to Automatically Locate Critical Events in Surgical Videos
- (2021) Pietro Mascagni et al. ANNALS OF SURGERY
- OR black box and surgical control tower: Recording and streaming data and analytics to improve surgical care
- (2021) P. Mascagni et al. Journal of Visceral Surgery
- EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control
- (2021) Christian Marzahl et al. Scientific Reports
- A learning robot for cognitive camera control in minimally invasive surgery
- (2021) Martin Wagner et al. SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
- The Value of Surgical Data—Impact on the Future of the Surgical Field
- (2021) Auriel T. August et al. Surgical Innovation
- Heidelberg colorectal data set for surgical data science in the sensor operating room
- (2021) Lena Maier-Hein et al. Scientific Data
- Ethical implications of AI in robotic surgical training: A Delphi consensus statement
- (2021) Justin W. Collins et al. European Urology Focus
- Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery
- (2020) Marije Wijnberge et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Validation and Utility Testing of Clinical Prediction Models
- (2020) Amin Adibi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- International evaluation of an AI system for breast cancer screening
- (2020) Scott Mayer McKinney et al. NATURE
- Assisted phase and step annotation for surgical videos
- (2020) Gurvan Lecuyer et al. International Journal of Computer Assisted Radiology and Surgery
- 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
- (2020) Mahendra Bhandari et al. BJU INTERNATIONAL
- Early prediction of circulatory failure in the intensive care unit using machine learning
- (2020) Stephanie L. Hyland et al. NATURE MEDICINE
- Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
- (2020) Agostina J. Larrazabal et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- SAGES Video-Based Assessment (VBA) program: a vision for life-long learning for surgeons
- (2020) Liane S. Feldman et al. SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
- 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
- Acoustic signal analysis of instrument–tissue interaction for minimally invasive interventions
- (2020) Daniel Ostler et al. International Journal of Computer Assisted Radiology and Surgery
- Learned optical flow for intra-operative tracking of the retinal fundus
- (2020) Claudio S. Ravasio et al. International Journal of Computer Assisted Radiology and Surgery
- Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network
- (2020) Adam P. Marcus et al. Scientific Reports
- Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non‐small cell lung cancer patients at a lung cancer center in China
- (2020) Shuyang Yao et al. Thoracic Cancer
- A novel machine learning algorithm to predict disease free survival after resection of hepatocellular carcinoma
- (2020) Markus Bo Schoenberg et al. Annals of Translational Medicine
- Situating Artificial Intelligence in Surgery
- (2020) James R. Korndorffer et al. ANNALS OF SURGERY
- Surgical spectral imaging
- (2020) Neil T. Clancy et al. MEDICAL IMAGE ANALYSIS
- Artificial neural network model for preoperative prediction of severe liver failure after hemihepatectomy in patients with hepatocellular carcinoma
- (2020) Rong-yun Mai et al. SURGERY
- Causality matters in medical imaging
- (2020) Daniel C. Castro et al. Nature Communications
- Current applications of artificial intelligence for intraoperative decision support in surgery
- (2020) Allison J. Navarrete-Welton et al. Frontiers of Medicine
- Artificial Intelligence for Surgical Safety
- (2020) Pietro Mascagni et al. ANNALS OF SURGERY
- BIAS: Transparent reporting of biomedical image analysis challenges
- (2020) Lena Maier-Hein et al. MEDICAL IMAGE ANALYSIS
- Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge
- (2020) Tobias Roß et al. MEDICAL IMAGE ANALYSIS
- Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
- (2019) Giang Nguyen et al. ARTIFICIAL INTELLIGENCE REVIEW
- Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
- (2019) Tim J. Adler et al. International Journal of Computer Assisted Radiology and Surgery
- Machine and deep learning for workflow recognition during surgery
- (2019) Nicolas Padoy MINIMALLY INVASIVE THERAPY & ALLIED TECHNOLOGIES
- Quantitative analysis of manual annotation of clinical text samples
- (2019) Jose A. Miñarro-Giménez et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- History of disruptions in laboratory medicine: what have we learned from predictions?
- (2019) Larry J. Kricka CLINICAL CHEMISTRY AND LABORATORY MEDICINE
- IBM Watson, heal thyself: How IBM overpromised and underdelivered on AI health care
- (2019) Eliza Strickland IEEE SPECTRUM
- Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study
- (2019) Philipp Kickingereder et al. LANCET ONCOLOGY
- Continual lifelong learning with neural networks: A review
- (2019) German I. Parisi et al. NEURAL NETWORKS
- Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data
- (2019) Sebastian Bodenstedt et al. International Journal of Computer Assisted Radiology and Surgery
- Active learning using deep Bayesian networks for surgical workflow analysis
- (2019) Sebastian Bodenstedt et al. International Journal of Computer Assisted Radiology and Surgery
- A clinically applicable approach to continuous prediction of future acute kidney injury
- (2019) Nenad Tomašev et al. NATURE
- Automatic pedicle screw planning using atlas-based registration of anatomy and reference trajectories
- (2019) Rohan Vijayan et al. PHYSICS IN MEDICINE AND BIOLOGY
- Augmented reality in gynecologic laparoscopic surgery: development, evaluation of accuracy and clinical relevance of a device useful to identify ureters during surgery
- (2019) Cherif Akladios et al. SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
- Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition
- (2019) Julia K. Winkler et al. JAMA Dermatology
- Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines
- (2019) Diamantis I. Tsilimigras et al. ANNALS OF SURGICAL ONCOLOGY
- Digitalisierung in der Chirurgie
- (2019) D. Wilhelm et al. CHIRURG
- iFusion: Towards efficient intelligence fusion for deep learning from real-time and heterogeneous data
- (2019) Kehua Guo et al. Information Fusion
- Identification of Anonymous MRI Research Participants with Face-Recognition Software
- (2019) Christopher G. Schwarz et al. NEW ENGLAND JOURNAL OF MEDICINE
- Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety
- (2019) Pietro Mascagni et al. SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
- International validation and update of the Amsterdam model for prediction of survival after pancreatoduodenectomy for pancreatic cancer
- (2019) Stijn van Roessel et al. EJSO
- A clinical‐radiomic model for improved prognostication of surgical candidates with colorectal liver metastases
- (2019) Joshua Shur et al. JOURNAL OF SURGICAL ONCOLOGY
- CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions
- (2019) Tom Vercauteren et al. PROCEEDINGS OF THE IEEE
- Kidney edge detection in laparoscopic image data for computer-assisted surgery
- (2019) Georges Hattab et al. International Journal of Computer Assisted Radiology and Surgery
- Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board
- (2018) S P Somashekhar et al. ANNALS OF ONCOLOGY
- First-year Analysis of the Operating Room Black Box Study
- (2018) James J. Jung et al. ANNALS OF SURGERY
- Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
- (2018) Toshiaki Hirasawa et al. Gastric Cancer
- Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
- (2018) Sara Moccia et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Are we missing the near misses in the OR?—underreporting of safety incidents in pediatric surgery
- (2018) Emma C. Hamilton et al. JOURNAL OF SURGICAL RESEARCH
- A Delphi Consensus of the Crucial Steps in Gastric Bypass and Sleeve Gastrectomy Procedures in the Netherlands
- (2018) Mirjam A. Kaijser et al. OBESITY SURGERY
- Robot-assisted laparoscopic surgery versus conventional laparoscopic surgery in randomized controlled trials: A systematic review and meta-analysis
- (2018) Hyunsuk Frank Roh et al. PLoS One
- A Pivotal Study of Optoacoustic Imaging to Diagnose Benign and Malignant Breast Masses: A New Evaluation Tool for Radiologists
- (2018) Erin I. Neuschler et al. RADIOLOGY
- High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision
- (2018) Manisha Bahl et al. RADIOLOGY
- Review of emerging surgical robotic technology
- (2018) Brian S. Peters et al. SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
- 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
- Toward a standard ontology of surgical process models
- (2018) Bernard Gibaud et al. International Journal of Computer Assisted Radiology and Surgery
- Practical Guide to Surgical Data Sets: National Surgical Quality Improvement Program (NSQIP) and Pediatric NSQIP
- (2018) Mehul V. Raval et al. JAMA Surgery
- Practical Guide to Surgical Data Sets: National Trauma Data Bank (NTDB)
- (2018) Zain G. Hashmi et al. JAMA Surgery
- A Checklist to Elevate the Science of Surgical Database Research
- (2018) Adil H. Haider et al. JAMA Surgery
- Practical Guide to Surgical Data Sets: National Cancer Database (NCDB)
- (2018) Ryan P. Merkow et al. JAMA Surgery
- Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record Enrichment
- (2018) Cheng Xie et al. IEEE Access
- New Technologies for Sentinel Lymph Node Detection
- (2018) Amit Goyal Breast Care
- Inter-observer variability of manual contour delineation of structures in CT
- (2018) Leo Joskowicz et al. EUROPEAN RADIOLOGY
- New intraoperative imaging technologies: Innovating the surgeon’s eye toward surgical precision
- (2018) Pietro Mascagni et al. JOURNAL OF SURGICAL ONCOLOGY
- Does rating with a checklist improve the effect of E-learning for cognitive and practical skills in bariatric surgery? A rater-blinded, randomized-controlled trial
- (2018) Javier R. De La Garza et al. SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
- Machine learning for real-time prediction of complications in critical care: a retrospective study
- (2018) Alexander Meyer et al. Lancet Respiratory Medicine
- CDEGenerator: an online platform to learn from existing data models to build model registries
- (2018) Julian Varghese et al. Clinical Epidemiology
- Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
- (2018) Scott M. Lundberg et al. Nature Biomedical Engineering
- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
- (2018) Matthieu Komorowski et al. NATURE MEDICINE
- Why rankings of biomedical image analysis competitions should be interpreted with care
- (2018) Lena Maier-Hein et al. Nature Communications
- Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study
- (2018) Kristin M. Corey et al. PLOS 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
- Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge
- (2017) Jorge Bernal et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Clickstream analysis for crowd-based object segmentation with confidence
- (2017) Eric Heim et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Best practices in data analysis and sharing in neuroimaging using MRI
- (2017) Thomas E Nichols et al. NATURE NEUROSCIENCE
- OR.NET: multi-perspective qualitative evaluation of an integrated operating room based on IEEE 11073 SDC
- (2017) M. Rockstroh et al. International Journal of Computer Assisted Radiology and Surgery
- Using Data to Enhance Performance and Improve Quality and Safety in Surgery
- (2017) Mitchell G. Goldenberg et al. JAMA Surgery
- Surgical data science for next-generation interventions
- (2017) Lena Maier-Hein et al. Nature Biomedical Engineering
- IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research
- (2016) Ying Chen et al. CLINICAL THERAPEUTICS
- AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
- (2016) Shadi Albarqouni et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- An Intelligent Decision System for Intraoperative Somatosensory Evoked Potential Monitoring
- (2016) Bi Fan et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Hybrid computing using a neural network with dynamic external memory
- (2016) Alex Graves et al. NATURE
- Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression
- (2016) Sebastian J. Wirkert et al. International Journal of Computer Assisted Radiology and Surgery
- Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy
- (2016) Darko Katić et al. International Journal of Computer Assisted Radiology and Surgery
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- The importance of postoperative quality of recovery: influences, assessment, and clinical and prognostic implications
- (2015) Andrea Bowyer et al. Canadian Journal of Anesthesia-Journal canadien d anesthesie
- A study of crowdsourced segment-level surgical skill assessment using pairwise rankings
- (2015) Anand Malpani et al. International Journal of Computer Assisted Radiology and Surgery
- Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms
- (2015) Andru P. Twinanda et al. International Journal of Computer Assisted Radiology and Surgery
- Erratum to: LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition
- (2015) Darko Katić et al. International Journal of Computer Assisted Radiology and Surgery
- Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences
- (2015) Lena Maier-Hein et al. International Journal of Computer Assisted Radiology and Surgery
- Toward knowledge-based liver surgery: holistic information processing for surgical decision support
- (2015) K. März et al. International Journal of Computer Assisted Radiology and Surgery
- On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
- (2015) Sebastian Bach et al. PLoS One
- A Simple Effective Method for Generation of a Permanent Record of the Critical View of Safety during Laparoscopic Cholecystectomy by Intraoperative “Doublet” Photography
- (2013) Dominic E. Sanford et al. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS
- Surgical process modelling: a review
- (2013) Florent Lalys et al. International Journal of Computer Assisted Radiology and Surgery
- Effective Surgical Safety Checklist Implementation
- (2011) Dante M. Conley et al. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS
- The Impact of Nontechnical Skills on Technical Performance in Surgery: A Systematic Review
- (2011) Louise Hull et al. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS
- WeBSurg: An Innovative Educational Web Site in Minimally Invasive Surgery—Principles and Results
- (2011) Didier Mutter et al. Surgical Innovation
- Statistical modeling and recognition of surgical workflow
- (2010) Nicolas Padoy et al. MEDICAL IMAGE ANALYSIS
- Evidence-Based Surgical Care and the Evolution of Fast-Track Surgery
- (2009) Henrik Kehlet et al. ANNALS OF SURGERY
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- OpenIGTLink: an open network protocol for image-guided therapy environment
- (2009) Junichi Tokuda et al. International Journal of Medical Robotics and Computer Assisted Surgery
- Forty years of SNOMED: a literature review
- (2008) Ronald Cornet et al. BMC Medical Informatics and Decision Making
- Translational research: Crossing the valley of death
- (2008) Declan Butler NATURE
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