AIMC Topic: Reproducibility of Results

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Prediction of Oral Acute Toxicity of Organophosphates Using QSAR Methods.

Current computer-aided drug design Jan 1, 2021
AIMS: Prediction of oral acute toxicity of organophosphates using QSAR methods.
Algorithms Reproducibility of Results Models, Molecular Neural Networks, Computer Linear Models Quantitative Structure-Activity Relationship Administration, Oral Lethal Dose 50 Organophosphates Toxicity Tests, Acute Pesticides
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Is my cough COVID-19?

Lancet (London, England) Dec 12, 2020
Humans COVID-19 Artificial Intelligence Algorithms Diagnosis, Computer-Assisted Reproducibility of Results Cough
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Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations.

Medicine Dec 11, 2020
Deep learning algorithms have shown excellent performances in the field of medical image recognition, and practical applications have been made in several medical domains. Little is known about the feasibility and impact of an undetectable adversaria...
Models, Statistical Skin Skin Diseases Image Interpretation, Computer-Assisted Algorithms Humans Datasets as Topic Reproducibility of Results Neural Networks, Computer Risk Factors Sensitivity and Specificity Diagnostic Errors Deep Learning
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Probabilistic forecasting of surgical case duration using machine learning: model development and validation.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Accurate estimations of surgical case durations can lead to the cost-effective utilization of operating rooms. We developed a novel machine learning approach, using both structured and unstructured features as input, to predict a continuou...
Surgical Procedures, Operative Operating Rooms Forecasting Reproducibility of Results Operative Time Models, Statistical Natural Language Processing Datasets as Topic Humans Neural Networks, Computer Machine Learning
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AI technology for remote clinical assessment and monitoring.

Journal of wound care Dec 2, 2020
OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered, portable and non-invasive medical device called Wound Viewer. The AI medical device uses dedicated sensors and AI algorithms to remotely collect obje...
Telemedicine Artificial Intelligence United States Technology Humans Italy Reproducibility of Results Diabetic Foot
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Validation of cervical vertebral maturation stages: Artificial intelligence vs human observer visual analysis.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Dec 1, 2020
INTRODUCTION: This study aimed to develop an artificial neural network (ANN) model for cervical vertebral maturation (CVM) analysis and validate the model's output with the results of human observers.
Humans Radiography Cervical Vertebrae Neural Networks, Computer Observer Variation Artificial Intelligence Reproducibility of Results
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Early Sepsis Prediction Using Ensemble Learning With Deep Features and Artificial Features Extracted From Clinical Electronic Health Records.

Critical care medicine Dec 1, 2020
OBJECTIVES: Sepsis is caused by infection and subsequent overreaction of immune system and will severely threaten human life. The early prediction is important for the treatment of sepsis. This report aims to develop an early prediction method for se...
Sepsis Supervised Machine Learning Early Diagnosis Humans Neural Networks, Computer Intensive Care Units Artificial Intelligence Reproducibility of Results Electronic Health Records Deep Learning
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Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review.

Clinical orthopaedics and related research Dec 1, 2020
BACKGROUND: Machine learning (ML) is a subdomain of artificial intelligence that enables computers to abstract patterns from data without explicit programming. A myriad of impactful ML applications already exists in orthopaedics ranging from predicti...
Machine Learning Reproducibility of Results Clinical Competence Humans Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Musculoskeletal Diseases Ultrasonography Magnetic Resonance Imaging Diagnosis, Differential Orthopedic Surgeons Pattern Recognition, Automated Visual Perception Musculoskeletal System
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CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

Clinical orthopaedics and related research Dec 1, 2020
Checklist Machine Learning Clinical Decision Rules Clinical Decision-Making Reproducibility of Results Humans Risk Factors Artificial Intelligence Risk Assessment Nomograms
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Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea.

Sleep Nov 12, 2020
STUDY OBJECTIVES: Accurate identification of sleep stages is essential in the diagnosis of sleep disorders (e.g. obstructive sleep apnea [OSA]) but relies on labor-intensive electroencephalogram (EEG)-based manual scoring. Furthermore, long-term asse...
Humans Photoplethysmography Sleep Stages Reproducibility of Results Sleep Apnea Syndromes Deep Learning Sleep
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