AIMC Topic: Humans

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Predictive modeling by deep learning, virtual screening and molecular dynamics study of natural compounds against SARS-CoV-2 main protease.

Journal of biomolecular structure & dynamics Aug 5, 2020
The whole world is facing a great challenging time due to Coronavirus disease (COVID-19) caused by SARS-CoV-2. Globally, more than 14.6 M people have been diagnosed and more than 595 K deaths are reported. Currently, no effective vaccine or drugs are...
Humans Deep Learning Molecular Dynamics Simulation Protease Inhibitors COVID-19 Peptide Hydrolases SARS-CoV-2 Molecular Docking Simulation
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Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer.

Methods (San Diego, Calif.) Aug 5, 2020
Breast and ovarian cancers are the second and the fifth leading causes of cancer death among women. Predicting the overall survival of breast and ovarian cancer patients can facilitate the therapeutics evaluation and treatment decision making. Multi-...
Humans Neural Networks, Computer Machine Learning Female Breast Neoplasms Epigenomics Genomics DNA Methylation Computational Biology DNA Copy Number Variations Gene Expression Regulation, Neoplastic Ovarian Neoplasms
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Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Aug 5, 2020
The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve pathologist-level performance at Gle...
Microscopy Image Interpretation, Computer-Assisted Observer Variation Neoplasm Grading Biopsy Pathologists Humans Reproducibility of Results Male Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Prostatic Neoplasms
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Robot-assisted double screw fixation of minimally displaced scaphoid waist fracture nonunions or delayed unions without bone graft.

The Journal of hand surgery, European volume Aug 5, 2020
We retrospectively reviewed 12 minimally displaced fractures of the scaphoid waist in 12 patients who developed delayed or nonunions with or without conservative treatment. Mean time between injury and surgery was 6 months (range 3-12). The fractures...
Fracture Healing Fractures, Ununited Scaphoid Bone Retrospective Studies Treatment Outcome Fractures, Bone Fracture Fixation, Internal Robotics Bone Screws Bone Transplantation Humans
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Are Convolutional Neural Networks Trained on ImageNet Images Wearing Rose-Colored Glasses?: A Quantitative Comparison of ImageNet, Computed Tomographic, Magnetic Resonance, Chest X-Ray, and Point-of-Care Ultrasound Images for Quality.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Aug 5, 2020
OBJECTIVES: Deep learning for medical imaging analysis uses convolutional neural networks pretrained on ImageNet (Stanford Vision Lab, Stanford, CA). Little is known about how such color- and scene-rich standard training images compare quantitatively...
Humans Neural Networks, Computer Tomography, X-Ray Computed Point-of-Care Systems Image Processing, Computer-Assisted Magnetic Resonance Spectroscopy X-Rays
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How artificial intelligence (AI) could have helped our medical education during the COVID-19 pandemic - A student's perspective.

Medical teacher Aug 5, 2020
Humans Artificial Intelligence Pandemics COVID-19 Education, Medical Betacoronavirus Pneumonia, Viral SARS-CoV-2 Students Coronavirus Infections
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Effects of Exoskeletal Lower Limb Robot Training on the Activities of Daily Living in Stroke Patients: Retrospective Pre-Post Comparison Using Propensity Score Matched Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 5, 2020
PURPOSE: There is limited evidence of gait training using newly developed exoskeletal lower limb robot called Hybrid Assistive Limb (HAL) on the function and ability to perform ADL in stroke patients. In clinical settings, we frequently find it chall...
Humans Retrospective Studies Female Aged Gait Exoskeleton Device Feasibility Studies Treatment Outcome Stroke Rehabilitation Activities of Daily Living Lower Extremity Propensity Score Recovery of Function Aged, 80 and over Disability Evaluation Robotics Equipment Design Male Stroke Middle Aged
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Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI.

AJR. American journal of roentgenology Aug 5, 2020
The purpose of this study was to evaluate in a multicenter dataset the performance of an artificial intelligence (AI) detection system with attention mapping compared with multiparametric MRI (mpMRI) interpretation in the detection of prostate cance...
Observer Variation Random Allocation Multiparametric Magnetic Resonance Imaging Diagnosis, Computer-Assisted Adenocarcinoma Prostatic Neoplasms Artificial Intelligence Algorithms Humans Retrospective Studies Aged Sensitivity and Specificity Male Middle Aged
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Tele-robotics and artificial-intelligence in stroke care.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Aug 5, 2020
In the last forty years, the field of medicine has experienced dramatic shifts in technology-enhanced surgical procedures - from its initial use in 1985 for neurosurgical biopsies to current implementation of systems such as magnetic-guided catheters...
Stroke Humans Telemedicine Artificial Intelligence Endovascular Procedures Robotic Surgical Procedures
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Stroke prognostication for discharge planning with machine learning: A derivation study.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Aug 5, 2020
Post-stroke discharge planning may be aided by accurate early prognostication. Machine learning may be able to assist with such prognostication. The study's primary aim was to evaluate the performance of machine learning models using admission data t...
Length of Stay Patient Discharge Retrospective Studies Humans Stroke Female Neural Networks, Computer Male Middle Aged Machine Learning Prognosis
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