AIMC Topic: Humans

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Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance.

JAMA network open Mar 2, 2020
IMPORTANCE: When evaluating surgeons in the operating room, experienced physicians must rely on live or recorded video to assess the surgeon's technical performance, an approach prone to subjectivity and error. Owing to the large number of surgical p...
Video Recording Deep Learning Surgical Procedures, Operative Clinical Competence Humans Image Processing, Computer-Assisted Surgical Instruments Algorithms Surgeons
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Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging.

JAMA network open Mar 2, 2020
IMPORTANCE: Predicting infarct size and location is important for decision-making and prognosis in patients with acute stroke.
Middle Aged Deep Learning Magnetic Resonance Imaging Humans Female Patient Selection Prognosis Aged Brain Ischemia Retrospective Studies Male
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Medical Named Entity Extraction from Chinese Resident Admit Notes Using Character and Word Attention-Enhanced Neural Network.

International journal of environmental research and public health Mar 2, 2020
The resident admit notes (RANs) in electronic medical records (EMRs) is first-hand information to study the patient's condition. Medical entity extraction of RANs is an important task to get disease information for medical decision-making. For Chines...
Humans Neural Networks, Computer China Data Mining Machine Learning Electronic Health Records
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Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.

JAMA network open Mar 2, 2020
IMPORTANCE: Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives.
Adult Sensitivity and Specificity Breast Neoplasms Female Sweden Aged Early Detection of Cancer Mammography Radiology Radiologists Middle Aged Deep Learning United States Artificial Intelligence Algorithms Humans Image Interpretation, Computer-Assisted
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Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging.

Physics in medicine and biology Mar 2, 2020
Deriving accurate structural maps for attenuation correction (AC) of whole-body positron emission tomography (PET) remains challenging. Common problems include truncation, inter-scan motion, and erroneous transformation of structural voxel-intensitie...
Whole Body Imaging Positron Emission Tomography Computed Tomography Artifacts Movement Humans Deep Learning Image Processing, Computer-Assisted Retrospective Studies Reproducibility of Results
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A Deep Learning-based correction to EPID dosimetry for attenuation and scatter in the Unity MR-Linac system.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 2, 2020
PURPOSE: EPID dosimetry in the Unity MR-Linac system allows for reconstruction of absolute dose distributions within the patient geometry. Dose reconstruction is accurate for the parts of the beam arriving at the EPID through the MRI central unattenu...
Radiometry Radiotherapy, Intensity-Modulated Scattering, Radiation Phantoms, Imaging Magnetic Resonance Imaging Rectal Neoplasms Radiotherapy Planning, Computer-Assisted Algorithms Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Humans
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A Novel Surgical Technique for Obstructed Megaureter: Robot-Assisted Laparoscopic Dismembered Extravesical Cross-Trigonal Ureteral Reimplantation-Short-Term Assessment.

Journal of endourology Mar 2, 2020
To describe our experience with robot-assisted laparoscopic dismembered extravesical cross-trigonal ureteral reimplantation (RADECUR)-a novel minimally invasive surgical technique for treatment of obstructed megaureter. A retrospective review of ou...
Child Treatment Outcome Robotics Humans Retrospective Studies Vesico-Ureteral Reflux Child, Preschool Laparoscopy Ureteral Obstruction Ureter Robotic Surgical Procedures Urologic Surgical Procedures Replantation
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Feasibility and necessity of the fourth arm of the da Vinci Si surgical system for robot-assisted partial nephrectomy.

The international journal of medical robotics + computer assisted surgery : MRCAS Mar 1, 2020
BACKGROUND: To investigate the feasibility of the fourth arm of the da Vinci Si system for robot-assisted partial nephrectomy (RAPN).
Kidney Neoplasms Nephrectomy Laparoscopy Robotic Surgical Procedures Feasibility Studies Humans Treatment Outcome Robotics
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Design of a tether-driven minimally invasive robotic surgical tool with decoupled degree-of-freedom wrist.

The international journal of medical robotics + computer assisted surgery : MRCAS Mar 1, 2020
BACKGROUND: Dexterous surgical tool wrists used in tele-operated robotic surgery typically have mechanically coupled pitch and yaw degree of freedom (DoF). This leads to complex control requirements.
Minimally Invasive Surgical Procedures Robotic Surgical Procedures Wrist Wrist Joint Humans Robotics
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An AI-based approach in determining the effect of meteorological factors on incidence of malaria.

Frontiers in bioscience (Landmark edition) Mar 1, 2020
This study presents the classification of malaria-prone zones based on (a) meteorological factors, (b) demographics and (c) patient information. Observations are performed on extended features in dataset over the spiking and non-spiking classifiers i...
Incidence India Models, Theoretical Insect Vectors Algorithms Support Vector Machine Meteorological Concepts Humans Malaria Reproducibility of Results Neural Networks, Computer Animals
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