29 Result(s)
within
Daniel A. Hashimoto
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Article
SAGES surgical data science task force: enhancing surgical innovation, education and quality improvement through data science
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Article
Open AccessStructured feedback and operative video debriefing with critical view of safety annotation in training of laparoscopic cholecystectomy: a randomized controlled study
The learning curve in minimally invasive surgery (MIS) is lengthened compared to open surgery. It has been reported that structured feedback and training in teams of two trainees improves MIS training and MIS ...
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Article
Understanding metric-related pitfalls in image analysis validation
Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, p...
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Metrics reloaded: recommendations for image analysis validation
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen performance metrics often do not reflect the domain...
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Article
Symptom duration is not associated with per oral endoscopic myotomy (POEM) failure
Per oral endoscopic myotomy (POEM) is a relatively novel technique to address achalasia; however, little is known about the efficacy of POEM for patients with long-standing achalasia. We hypothesize that patie...
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Preoperative patient factors and anatomy do not predict who will develop reflux after per oral endoscopic myotomy
Per oral endoscopic myotomy (POEM) has been shown to be an efficacious and safe therapy for the treatment of achalasia. Compared to laparoscopic Heller myotomy however, no antireflux procedure is routinely com...
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Do preoperative endoscopic interventions predict symptom recurrence or reintervention after peroral endoscopic myotomy?
Studies assessing outcomes of patients undergoing peroral endoscopic myotomy (POEM) after botulinum injection or dilation have had various results with respect to failure, although this has not been differenti...
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Article
Preoperative manometric data can predict symptom improvement after per oral endoscopic myotomy for treatment of achalasia
While per oral endoscopic myotomy (POEM) has been shown to be efficacious in the treatment of achalasia, it can be difficult to predict who will have a robust and durable response. Historically, high lower eso...
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Article
An analysis of publications originating from abstracts presented at the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) Meeting
Research presentation has benefits, including CV building, networking, and collaboration. A measurable standard for achievement is publication in a peer-reviewed journal. Expectations regarding the likelihood ...
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SAGES video acquisition framework—analysis of available OR recording technologies by the SAGES AI task force
Surgical video recording provides the opportunity to acquire intraoperative data that can subsequently be used for a variety of quality improvement, research, and educational applications. Various recording de...
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Article
Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy
Many surgical adverse events, such as bile duct injuries during laparoscopic cholecystectomy (LC), occur due to errors in visual perception and judgment. Artificial intelligence (AI) can potentially improve th...
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Article
Open AccessComputer vision in surgery: from potential to clinical value
Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct su...
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Artificial intelligence prediction of cholecystectomy operative course from automated identification of gallbladder inflammation
Operative courses of laparoscopic cholecystectomies vary widely due to differing pathologies. Efforts to assess intra-operative difficulty include the Parkland grading scale (PGS), which scores inflammation fr...
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Transfer of virtual reality endoscopy training to live animal colonoscopy: a randomized control trial of proficiency vs. repetition-based training
Low first-time pass rates of the Fundamentals of Endoscopic Surgery (FES) exam stimulated development of virtual reality (VR) simulation curricula for test preparation. This study evaluates the transfer of VR ...
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Open AccessDevelopment and validity evidence of an objective structured assessment of technical skills score for minimally invasive linear-stapled, hand-sewn intestinal anastomoses: the A-OSATS score
The aim of this study was to develop a reliable objective structured assessment of technical skills (OSATS) score for linear-stapled, hand-sewn closure of enterotomy intestinal anastomoses (A-OSATS).
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Open innovation facilitates department-wide engagement in quality improvement: experience from the Massachusetts General Hospital
Quality improvement (QI) initiatives commonly originate ‘top-down’ from senior leadership, as staff engagement is often sporadic. We describe our experience with a technology-enabled open innovation contest to...
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SAGES consensus recommendations on an annotation framework for surgical video
The growing interest in analysis of surgical video through machine learning has led to increased research efforts; however, common methods of annotating video data are lacking. There is a need to establish rec...
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Automated operative phase identification in peroral endoscopic myotomy
Artificial intelligence (AI) and computer vision (CV) have revolutionized image analysis. In surgery, CV applications have focused on surgical phase identification in laparoscopic videos. We proposed to apply ...
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Current applications of artificial intelligence for intraoperative decision support in surgery
Research into medical artificial intelligence (AI) has made significant advances in recent years, including surgical applications. This sco** review investigated AI-based decision support systems targeted at...
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Overcoming barriers to early disease intervention
