AIMC Topic: Humans

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Robot-assisted total knee arthroplasty is associated with a learning curve for surgical time but not for component alignment, limb alignment and gap balancing.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Nov 3, 2020
PURPOSE: The application of robotics in the operating theatre for total knee arthroplasty (TKA) remains controversial. As with all new technology, the introduction of new systems is associated with a learning curve and potentially associated with ext...
Humans Osteoarthritis, Knee Learning Curve Robotic Surgical Procedures Retrospective Studies Knee Joint Operative Time Arthroplasty, Replacement, Knee Robotics
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Ready for the robot? A cross-sectional survey of OB/GYN fellowship directors' experience and expectations of their incoming fellow's robotic surgical skills.

Journal of robotic surgery Nov 3, 2020
To describe OB/GYN fellowship directors' (FDs) observations, expectations, and preferences of incoming fellow's robotic surgery preparedness. Cross-sectional study. OB/GYN FDs in gynecologic oncology, minimally invasive gynecologic surgery, female pe...
Female Cross-Sectional Studies Surveys and Questionnaires Humans Motivation Internship and Residency Fellowships and Scholarships Clinical Competence Robotics Robotic Surgical Procedures
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Personalized computed tomography - Automated estimation of height and weight of a simulated digital twin using a 3D camera and artificial intelligence.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Nov 3, 2020
PURPOSE:  The aim of this study was to develop an algorithm for automated estimation of patient height and weight during computed tomography (CT) and to evaluate its accuracy in everyday clinical practice.
Humans Abdomen Body Mass Index Precision Medicine Tomography, X-Ray Computed Imaging, Three-Dimensional Artificial Intelligence Algorithms Computer Simulation
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Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning.

Korean journal of radiology Nov 3, 2020
OBJECTIVE: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms.
Female Aortic Valve Stenosis Echocardiography Humans Aged Calcium Middle Aged Aortic Valve Male Severity of Illness Index Machine Learning Retrospective Studies Tomography, X-Ray Computed
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Machine learning models to predict length of stay and discharge destination in complex head and neck surgery.

Head & neck Nov 3, 2020
BACKGROUND: This study develops machine learning (ML) algorithms that use preoperative-only features to predict discharge-to-nonhome-facility (DNHF) and length-of-stay (LOS) following complex head and neck surgeries.
Patient Discharge Humans Length of Stay Machine Learning Predictive Value of Tests Algorithms
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A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection.

Korean journal of radiology Nov 3, 2020
OBJECTIVE: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD).
Deep Learning Adult Computed Tomography Angiography Imaging, Three-Dimensional Humans Male Aortic Dissection Body Mass Index Middle Aged Aorta Retrospective Studies Female
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Comparison of postoperative recovery after robot-assisted partial nephrectomy of T1 renal tumors through retroperitoneal or transperitoneal approach: A Japanese single institutional analysis.

International journal of urology : official journal of the Japanese Urological Association Nov 3, 2020
OBJECTIVE: To evaluate the quality of recovery in patients who underwent robot-assisted partial nephrectomy and to compare the outcomes of the transperitoneal or retroperitoneal approach.
Laparoscopy Robotic Surgical Procedures Japan Nephrectomy Kidney Neoplasms Retroperitoneal Space Treatment Outcome Humans Operative Time Robotics Retrospective Studies Female Male
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Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least-squares support vector machine.

Journal of clinical laboratory analysis Nov 3, 2020
OBJECTIVE: Development of biofluid-based biomarkers is attractive for the diagnosis of chronic obstructive pulmonary disease (COPD) but still lacking. Thus, here we aimed to identify serum metabolic biomarkers for the diagnosis of COPD.
Least-Squares Analysis Magnetic Resonance Spectroscopy Pulmonary Disease, Chronic Obstructive Male Middle Aged Support Vector Machine Metabolomics Case-Control Studies Diagnosis, Computer-Assisted Biomarkers Female Aged Humans Artificial Intelligence
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Canadian Association of Radiologists White Paper on De-identification of Medical Imaging: Part 2, Practical Considerations.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Nov 3, 2020
The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboratio...
Societies, Medical Diagnostic Imaging Radiologists Data Anonymization Humans Algorithms Canada Artificial Intelligence Machine Learning
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Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Nov 3, 2020
The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboratio...
Humans Artificial Intelligence Diagnostic Imaging Radiologists Data Anonymization Societies, Medical Machine Learning Algorithms Canada
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