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Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes.

JAMA network open May 3, 2021
IMPORTANCE: Systems-level barriers to diabetes care could be improved with population health planning tools that accurately discriminate between high- and low-risk groups to guide investments and targeted interventions.
Age of Onset Decision Making, Computer-Assisted Young Adult Adult Male Middle Aged Risk Assessment Adolescent Incidence Cohort Studies Child Ontario Diabetes Mellitus, Type 2 Forecasting Retrospective Studies Electronic Health Records Female Aged Aged, 80 and over Humans Machine Learning Algorithms
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Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.

JAMA network open May 3, 2021
IMPORTANCE: Anticipating the risk of gastrointestinal bleeding (GIB) when initiating antithrombotic treatment (oral antiplatelets or anticoagulants) is limited by existing risk prediction models. Machine learning algorithms may result in superior pre...
Clinical Decision-Making Female Aged Aged, 80 and over Young Adult Adult Humans Machine Learning Retrospective Studies Cohort Studies United States Predictive Value of Tests Fibrinolytic Agents Anticoagulants Atrial Fibrillation Cross-Sectional Studies Male Middle Aged Risk Assessment Adolescent Venous Thromboembolism Antifibrinolytic Agents Gastrointestinal Hemorrhage Myocardial Ischemia Thienopyridines
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Development of a Method for Clinical Evaluation of Artificial Intelligence-Based Digital Wound Assessment Tools.

JAMA network open May 3, 2021
IMPORTANCE: Accurate assessment of wound area and percentage of granulation tissue (PGT) are important for optimizing wound care and healing outcomes. Artificial intelligence (AI)-based wound assessment tools have the potential to improve the accurac...
Adult Humans Male Artificial Intelligence Middle Aged Female Clinical Competence Aged Adolescent Aged, 80 and over Wound Healing Young Adult Observer Variation Photography Software Design Granulation Tissue
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Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma.

Clinical radiology May 1, 2021
AIM: To investigate machine learning based models combining clinical, radiomic, and molecular information to distinguish between early true progression (tPD) and pseudoprogression (psPD) in patients with glioblastoma.
Aged Young Adult Adult Sensitivity and Specificity Brain Neoplasms Male Machine Learning Brain Retrospective Studies Female Reproducibility of Results Humans Diagnosis, Differential Middle Aged Predictive Value of Tests Adolescent Glioblastoma Treatment Outcome Image Interpretation, Computer-Assisted Contrast Media Image Enhancement Magnetic Resonance Imaging Chemoradiotherapy
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Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform.

Journal of the American Heart Association Apr 26, 2021
Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinical...
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Adolescent Equipment Design Aged Aged, 80 and over Young Adult Adult Cross-Sectional Studies Humans Stethoscopes Algorithms Heart Auscultation Female Heart Murmurs Reproducibility of Results
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Artificial intelligence-based nomogram for small-incision lenticule extraction.

Biomedical engineering online Apr 23, 2021
BACKGROUND: Small-incision lenticule extraction (SMILE) is a surgical procedure for the refractive correction of myopia and astigmatism, which has been reported as safe and effective. However, over- and under-correction still occur after SMILE. The n...
Nomograms Refractive Surgical Procedures Astigmatism Retrospective Studies Humans Female Artificial Intelligence Young Adult Adult Male Myopia
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Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions.

PloS one Apr 23, 2021
With the growing utility of today's conversational virtual assistants, the importance of user motivation in human-artificial intelligence interactions is becoming more obvious. However, previous studies in this and related fields, such as human-compu...
Communication Humans Male Artificial Intelligence Motivation Female Young Adult Adult
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Perception and prediction of the putting distance of robot putting movements under different visual/viewing conditions.

PloS one Apr 23, 2021
The purpose of this paper is to examine, whether and under which conditions humans are able to predict the putting distance of a robotic device. Based on the "flash-lag effect" (FLE) it was expected that the prediction errors increase with increasing...
Adult Male Students Robotics Movement Visual Perception Humans Distance Perception Female Young Adult
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Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques.

The British journal of ophthalmology Apr 20, 2021
BACKGROUND/AIMS: To investigate the utility of a data-driven deep learning approach in patients with inherited retinal disorder (IRD) and to predict the causative genes based on fundus photography and fundus autofluorescence (FAF) imaging.
Adult Male Middle Aged Deep Learning Adolescent Child Follow-Up Studies Fundus Oculi Eye Proteins Retinal Diseases ATP-Binding Cassette Transporters Prognosis Retrospective Studies Female Aged Fluorescein Angiography Aged, 80 and over Humans Young Adult Rod Cell Outer Segment Algorithms
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Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation.

Journal of medical Internet research Apr 19, 2021
BACKGROUND: The number of deaths from COVID-19 continues to surge worldwide. In particular, if a patient's condition is sufficiently severe to require invasive ventilation, it is more likely to lead to death than to recovery.
Models, Statistical Risk Factors Aged Mortality Aged, 80 and over Research Design Male Humans Young Adult Middle Aged Retrospective Studies Artificial Intelligence Adult Infant Republic of Korea COVID-19 Adolescent Female Child, Preschool Infant, Newborn Child SARS-CoV-2
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