AIMC Topic: Female

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Detection of Diabetic Retinopathy from Ultra-Widefield Scanning Laser Ophthalmoscope Images: A Multicenter Deep Learning Analysis.

Ophthalmology. Retina Feb 1, 2021
PURPOSE: To develop a deep learning (DL) system that can detect referable diabetic retinopathy (RDR) and vision-threatening diabetic retinopathy (VTDR) from images obtained on ultra-widefield scanning laser ophthalmoscope (UWF-SLO).
Humans Diabetic Retinopathy Deep Learning ROC Curve Equipment Design Ophthalmoscopy Ophthalmoscopes Neural Networks, Computer Female Cross-Sectional Studies Male Middle Aged
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Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy.

International journal of radiation oncology, biology, physics Feb 1, 2021
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint prediction of radiation therapy outcomes-radiation pneumonitis (RP) and local control (LC)-in stage III non-small cell lung cancer (NSCLC) patients. Unl...
Carcinoma, Non-Small-Cell Lung MicroRNAs Positron-Emission Tomography Male Radiation Pneumonitis Middle Aged Deep Learning Humans Lung Neoplasms Cytokines Treatment Outcome Female Aged
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Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning.

Laboratory investigation; a journal of technical methods and pathology Feb 1, 2021
Cervical cancer is one of the most frequent cancers in women worldwide, yet the early detection and treatment of lesions via regular cervical screening have led to a drastic reduction in the mortality rate. However, the routine examination of screeni...
Image Interpretation, Computer-Assisted Humans Female Uterine Cervical Neoplasms Deep Learning Cervix Uteri Neoplasm Grading
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Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device.

Circulation Feb 1, 2021
BACKGROUND: Heart rate-corrected QT interval (QTc) prolongation, whether secondary to drugs, genetics including congenital long QT syndrome, and/or systemic diseases including SARS-CoV-2-mediated coronavirus disease 2019 (COVID-19), can predispose to...
Prospective Studies Female SARS-CoV-2 Aged Adult Humans Artificial Intelligence COVID-19 Electrocardiography Area Under Curve Long QT Syndrome Heart Diseases Heart Rate Sensitivity and Specificity Male Middle Aged ROC Curve Smartphone
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Physical Features and Vital Signs Predict Serum Albumin and Globulin Concentrations Using Machine Learning.

Asian Pacific journal of cancer prevention : APJCP Feb 1, 2021
OBJECTIVE: Serum protein concentrations are diagnostically and prognostically valuable in cancer and other diseases, but their measurement via blood test is uncomfortable, inconvenient, and costly. This study investigates the possibility of predictin...
Vital Signs Humans Serum Albumin Serum Globulins Machine Learning Female Age Factors Adult Predictive Value of Tests Male Body Weight Middle Aged Sex Factors China Body Height Body Mass Index
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Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network.

JAMA network open Feb 1, 2021
IMPORTANCE: The Undiagnosed Diseases Network (UDN) is a national network that evaluates individual patients whose signs and symptoms have been refractory to diagnosis. Providing reliable estimates of admission outcomes may assist clinical evaluators ...
Infant, Newborn Reproducibility of Results Young Adult Adult Male Middle Aged Infant Adolescent Child, Preschool Child Patient Selection Machine Learning Referral and Consultation Humans Prospective Studies Patient Admission ROC Curve Computer Simulation Rare Diseases Triage Retrospective Studies Undiagnosed Diseases Area Under Curve Female Whole Genome Sequencing
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Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.

JAMA network open Feb 1, 2021
IMPORTANCE: Decision aids can help inform appropriate selection of total knee replacement (TKR) for advanced knee osteoarthritis (OA). However, few decision aids combine patient education, preference assessment, and artificial intelligence (AI) using...
Patient Health Questionnaire Humans Artificial Intelligence Decision Making, Shared Decision Support Techniques Female Arthroplasty, Replacement, Knee Aged Aged, 80 and over Patient Reported Outcome Measures Male Patient Satisfaction Middle Aged Osteoarthritis, Knee Risk Assessment Patient Education as Topic
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Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.

JAMA network open Feb 1, 2021
IMPORTANCE: An objective, reliable indicator of the presence and severity of concussive brain injury and of the readiness for the return to activity has the potential to reduce concussion-related disability.
Mental Status and Dementia Tests Glasgow Coma Scale Return to Sport Schools Athletes Brain Concussion Athletic Injuries Brain Female Reproducibility of Results Young Adult Male Case-Control Studies Adolescent Universities Electroencephalography Humans Machine Learning Prospective Studies
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Multidisease Deep Learning Neural Network for the Diagnosis of Corneal Diseases.

American journal of ophthalmology Jan 30, 2021
PURPOSE: To report a multidisease deep learning diagnostic network (MDDN) of common corneal diseases: dry eye syndrome (DES), Fuchs endothelial dystrophy (FED), and keratoconus (KCN) using anterior segment optical coherence tomography (AS-OCT) images...
Corneal Diseases Fuchs' Endothelial Dystrophy Area Under Curve Keratoconus Humans Male Tomography, Optical Coherence Neural Networks, Computer Middle Aged Dry Eye Syndromes Prospective Studies Diagnosis, Computer-Assisted Female Deep Learning ROC Curve
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A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection.

Sensors (Basel, Switzerland) Jan 30, 2021
Falls are dangerous for the elderly, often causing serious injuries especially when the fallen person stays on the ground for a long time without assistance. This paper extends our previous work on the development of a Fall Detection System (FDS) usi...
Aged Humans Male Accidental Falls Wearable Electronic Devices Activities of Daily Living Machine Learning Algorithms Female
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