Surgical data science for next-generation interventions

[1]  Masaru Ishii,et al.  Objective Assessment of Surgical Technical Skill and Competency in the Operating Room. , 2017, Annual review of biomedical engineering.

[2]  Heung-Il Suk,et al.  Deep Learning in Medical Image Analysis. , 2017, Annual review of biomedical engineering.

[3]  Lyle J. Palmer,et al.  Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework , 2017, Scientific Reports.

[4]  William B. Lober,et al.  Prognostics of Surgical Site Infections using Dynamic Health Data , 2016, J. Biomed. Informatics.

[5]  Jay N. Nathwani,et al.  Relationship Between Technical Errors and Decision-Making Skills in the Junior Resident. , 2016, Journal of surgical education.

[6]  Peter Kazanzides,et al.  Virtual fixture assistance for needle passing and knot tying , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[7]  Z. Obermeyer,et al.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. , 2016, The New England journal of medicine.

[8]  Elizabeth Warren Strengthening Research through Data Sharing. , 2016, The New England journal of medicine.

[9]  Patrick C. Sanger,et al.  A Prognostic Model of Surgical Site Infection Using Daily Clinical Wound Assessment. , 2016, Journal of the American College of Surgeons.

[10]  Thomas E. Nichols,et al.  Best Practices in Data Analysis and Sharing in Neuroimaging using MRI , 2016, bioRxiv.

[11]  M. Makary,et al.  Prevalence and Data Transparency of National Clinical Registries in the United States , 2016, Journal for healthcare quality : official publication of the National Association for Healthcare Quality.

[12]  R. Martindale,et al.  Do risk calculators accurately predict surgical site occurrences? , 2016, The Journal of surgical research.

[13]  Jorge Munoz-Gama,et al.  Process mining in healthcare: A literature review , 2016, J. Biomed. Informatics.

[14]  Ryan S. Decker,et al.  Supervised autonomous robotic soft tissue surgery , 2016, Science Translational Medicine.

[15]  Nicolai Schoch,et al.  Comprehensive patient-specific information preprocessing for cardiac surgery simulations , 2016, International Journal of Computer Assisted Radiology and Surgery.

[16]  Makoto Hashizume,et al.  Procedural surgical skill assessment in laparoscopic training environments , 2016, International Journal of Computer Assisted Radiology and Surgery.

[17]  Rüdiger Dillmann,et al.  Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy , 2016, International Journal of Computer Assisted Radiology and Surgery.

[18]  M. Porter,et al.  Standardizing Patient Outcomes Measurement. , 2016, The New England journal of medicine.

[19]  P. Pronovost,et al.  A targeted real-time early warning score (TREWScore) for septic shock , 2015, Science Translational Medicine.

[20]  Michael I. Jordan,et al.  Machine learning: Trends, perspectives, and prospects , 2015, Science.

[21]  A. Darzi,et al.  A randomized controlled study to evaluate the role of video-based coaching in training laparoscopic skills. , 2015, Annals of surgery.

[22]  Tej D. Azad,et al.  Estimate of the global volume of surgery in 2012: an assessment supporting improved health outcomes , 2015, The Lancet.

[23]  Keno März,et al.  Toward knowledge-based liver surgery: holistic information processing for surgical decision support , 2015, International Journal of Computer Assisted Radiology and Surgery.

[24]  Nobuhiko Hata,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 , 2014, Lecture Notes in Computer Science.

[25]  Lena Maier-Hein,et al.  Can Masses of Non-Experts Train Highly Accurate Image Classifiers? - A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images , 2014, MICCAI.

[26]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.

[27]  Pierre Jannin,et al.  Surgical process modelling: a review , 2014, International Journal of Computer Assisted Radiology and Surgery.

[28]  T. Osler,et al.  Redesigning surgical decision making for high-risk patients. , 2014, The New England journal of medicine.

[29]  F. Collins,et al.  Policy: NIH plans to enhance reproducibility , 2014, Nature.

[30]  J. Birkmeyer,et al.  Surgical skill and complication rates after bariatric surgery. , 2013, The New England journal of medicine.

[31]  Gyslain Giguère,et al.  Limits in decision making arise from limits in memory retrieval , 2013, Proceedings of the National Academy of Sciences.

[32]  Thomas Neumuth,et al.  Intervention time prediction from surgical low-level tasks , 2013, J. Biomed. Informatics.

[33]  P. Jannin,et al.  Anatomo-clinical atlases correlate clinical data and electrode contact coordinates: Application to subthalamic deep brain stimulation , 2013, Journal of Neuroscience Methods.

[34]  Chris Mattmann,et al.  Computing: A vision for data science , 2013, Nature.

[35]  M. Nathan,et al.  Surgical technical performance scores are predictors of late mortality and unplanned reinterventions in infants after cardiac surgery. , 2012, The Journal of thoracic and cardiovascular surgery.

[36]  Andre Dekker,et al.  Radiomics: the process and the challenges. , 2012, Magnetic resonance imaging.

[37]  John A McDowell Two hundred years of surgery. , 2012, The New England journal of medicine.

[38]  A. Gawande Two hundred years of surgery. , 2012, The New England journal of medicine.

[39]  Nassir Navab,et al.  Statistical modeling and recognition of surgical workflow , 2012, Medical Image Anal..

[40]  K. Cleary,et al.  Image-guided interventions: technology review and clinical applications. , 2010, Annual review of biomedical engineering.

[41]  W. Berry,et al.  An estimation of the global volume of surgery: a modelling strategy based on available data , 2008, The Lancet.

[42]  Rhona Flin,et al.  How do surgeons make intraoperative decisions? , 2007, Quality and Safety in Health Care.

[43]  Michael W. Vannier,et al.  The operating room and the need for an IT infrastructure and standards , 2006, International Journal of Computer Assisted Radiology and Surgery.

[44]  José L. V. Mejino,et al.  A reference ontology for biomedical informatics: the Foundational Model of Anatomy , 2003, J. Biomed. Informatics.

[45]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[46]  Jean Yeh,et al.  Big Data and the Future of Radiology Informatics. , 2016, Academic radiology.

[47]  D. Wiegmann,et al.  Surgical coaching for individual performance improvement. , 2015, Annals of surgery.

[48]  J. Holden,et al.  Foundations of medical imaging , 1995 .