AIMC Journal:
JAMA network open

Showing 211 to 220 of 245 articles

Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention.

JAMA network open Jul 3, 2019
IMPORTANCE: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may improve clinical decisions aimed to reduce bleeding risk. Machine learning techniques, bolstered by better selection of variables, hold promise for enh...
Humans Machine Learning Female Coronary Artery Disease Risk Adjustment Comparative Effectiveness Research Clinical Decision Rules Models, Statistical Aged Postoperative Hemorrhage Male Registries Risk Assessment United States Percutaneous Coronary Intervention
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Enhancement of Risk Prediction With Machine Learning: Rise of the Machines.

JAMA network open Jul 3, 2019
Support Vector Machine Registries Percutaneous Coronary Intervention Humans Machine Learning
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Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records.

JAMA network open Jul 3, 2019
IMPORTANCE: Inpatient violence remains a significant problem despite existing risk assessment methods. The lack of robustness and the high degree of effort needed to use current methods might be mitigated by using routinely registered clinical notes.
Female Reproducibility of Results Risk Factors Adult Humans Machine Learning Prognosis Electronic Health Records Netherlands Violence Behavior Observation Techniques Hospitals, Psychiatric Aggression Male Middle Aged Risk Assessment Inpatients
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Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children.

JAMA network open Jun 5, 2019
IMPORTANCE: Duodenal biopsies from children with enteropathies associated with undernutrition, such as environmental enteropathy (EE) and celiac disease (CD), display significant histopathological overlap.
Celiac Disease Male Infant Child, Preschool Child Duodenum Biopsy Machine Learning Child Nutrition Disorders Humans Prospective Studies Malabsorption Syndromes Neural Networks, Computer Female Sensitivity and Specificity
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Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.

JAMA network open Jun 5, 2019
IMPORTANCE: Deep learning has the potential to augment clinician performance in medical imaging interpretation and reduce time to diagnosis through automated segmentation. Few studies to date have explored this topic.
Female Male Middle Aged Diagnosis, Computer-Assisted Humans Computer Simulation Retrospective Studies Neurologic Examination Neurologists Deep Learning Clinical Competence Cross-Over Studies Intracranial Aneurysm
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Performance of a Deep Learning Model vs Human Reviewers in Grading Endoscopic Disease Severity of Patients With Ulcerative Colitis.

JAMA network open May 3, 2019
IMPORTANCE: Assessing endoscopic disease severity in ulcerative colitis (UC) is a key element in determining therapeutic response, but its use in clinical practice is limited by the requirement for experienced human reviewers.
Humans Retrospective Studies Female Reproducibility of Results Adult Male Middle Aged Colonoscopy Severity of Illness Index Deep Learning Colitis, Ulcerative Video Recording
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Development and Validation of Machine Learning Models in Prediction of Remission in Patients With Moderate to Severe Crohn Disease.

JAMA network open May 3, 2019
IMPORTANCE: Biological therapies have revolutionized inflammatory bowel disease management, but many patients do not respond to biological monotherapy. Identification of likely responders could reduce costs and delays in remission.
Biological Therapy Ustekinumab Female Adult Humans Male Machine Learning Middle Aged C-Reactive Protein Severity of Illness Index Crohn Disease Predictive Value of Tests Remission Induction
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Application of a Neural Network Whole Transcriptome-Based Pan-Cancer Method for Diagnosis of Primary and Metastatic Cancers.

JAMA network open Apr 5, 2019
IMPORTANCE: A molecular diagnostic method that incorporates information about the transcriptional status of all genes across multiple tissue types can strengthen confidence in cancer diagnosis.
Mesothelioma, Malignant Exome Sequencing Neoplasms Transcriptome Lung Neoplasms Mesothelioma Humans Biomarkers, Tumor Neural Networks, Computer Cross-Sectional Studies Male Middle Aged Machine Learning Female Adult
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Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.

JAMA network open Mar 1, 2019
IMPORTANCE: Interpretation of chest radiographs is a challenging task prone to errors, requiring expert readers. An automated system that can accurately classify chest radiographs may help streamline the clinical workflow.
Deep Learning Aged Humans Radiographic Image Interpretation, Computer-Assisted Adult Algorithms Radiography, Thoracic Male Female Thoracic Diseases Middle Aged Reproducibility of Results
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Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.

JAMA network open Mar 1, 2019
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk.
Risk Assessment Cohort Studies United States Analgesics, Opioid Humans Aged Machine Learning Medicare Aged, 80 and over Algorithms Drug Overdose Male Female Middle Aged Medical Informatics Applications Prescriptions
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