BACKGROUND: Pancreatic surgery is still associated with high perioperative morbidity and mortality. The purpose of this study was to present the short-term outcomes of robot-assisted pancreatic surgery, including pancreaticoduodenectomy (RAPD), dista...
IMPORTANCE: Accurate surgical scheduling affects patients, clinical staff, and use of physical resources. Although numerous retrospective analyses have suggested a potential for improvement, the real-world outcome of implementing a machine learning m...
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
Apr 1, 2021
OBJECTIVES: To create a machine-learning model identifying potentially avoidable blood draws for serum potassium among pediatric patients following cardiac surgery.
Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
Apr 1, 2021
OBJECTIVE: To describe the first cochlear array insertions using a robot-assisted technique, with different types of straight or precurved electrode arrays, compared with arrays manually inserted into the cochlea.
OBJECTIVES: The aims of this study were to present a deep learning approach for the automated classification of multiple sclerosis and its mimics and compare model performance with that of 2 expert neuroradiologists.
To evaluate the clinical features, surgical effects and factors that may affect prognosis of muscular invasive bladder cancer in young people. The clinical data of young (aged 44 and below) patients with muscle invasive bladder cancer who underwent...
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Mar 25, 2021
To investigate the feasibility of transumbilical single-incision plus one port (SIPOP) robotic total mesorectal excision. Clinical data of a 70-year-old male patient with BMI 22.1 kg/m(2) who successfully underwent transumbilical single-incision pl...
BACKGROUND: Using novel data mining methods such as natural language processing (NLP) on electronic health records (EHRs) for screening and detecting individuals at risk for psychosis.
BACKGROUND: Machine learning (ML)-based predictive models are increasingly common in neurosurgery, but typically require large databases of discrete variables for training. Natural language processing (NLP) can extract meaningful data from unstructur...
OBJECTIVE: The diagnosis of COVID-19 is based on the detection of SARS-CoV-2 in respiratory secretions, blood, or stool. Currently, reverse transcription polymerase chain reaction (RT-PCR) is the most commonly used method to test for SARS-CoV-2.
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