AIMC Topic: Off-Label Use

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Off-Label use of Woven EndoBridge device for intracranial brain aneurysm treatment: Modeling of occlusion outcome.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2024
INTRODUCTION: The Woven EndoBridge (WEB) device is emerging as a novel therapy for intracranial aneurysms, but its use for off-label indications requires further study. Using machine learning, we aimed to develop predictive models for complete occlus...
Humans Machine Learning Treatment Outcome Prosthesis Design Middle Aged Risk Assessment Blood Vessel Prosthesis Intracranial Aneurysm Off-Label Use Blood Vessel Prosthesis Implantation Endovascular Procedures Risk Factors Aged Adult Male Clinical Decision-Making Female Decision Support Techniques Retrospective Studies
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Machine Learning Versus Standard Techniques for Updating Searches for Systematic Reviews: A Diagnostic Accuracy Study.

Annals of internal medicine Jun 13, 2017
Humans PubMed Machine Learning Osteoporosis Algorithms Antipsychotic Agents Off-Label Use Review Literature as Topic
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Medication-indication knowledge bases: a systematic review and critical appraisal.

Journal of the American Medical Informatics Association : JAMIA Sep 2, 2015
OBJECTIVE: Medication-indication information is a key part of the information needed for providing decision support for and promoting appropriate use of medications. However, this information is not readily available to end users, and a lot of the re...
Off-Label Use Systematized Nomenclature of Medicine Humans Drug Therapy, Computer-Assisted Knowledge Bases
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Off-label use of artificial intelligence models in healthcare.

Nature medicine Jun 1, 2024
Humans Artificial Intelligence Delivery of Health Care Off-Label Use
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Clinical insights into hematologic malignancies and comparative analysis of molecular signatures of acute myeloid leukemia in different ethnicities using an artificial intelligence offering.

Medicine Dec 23, 2021
Next generation sequencing generates copious amounts of genomics data, causing manual interpretation to be laborious and non-scalable while remaining subjective (even for highly trained specialists). We evaluated the performance of the artificial int...
Off-Label Use fms-Like Tyrosine Kinase 3 Protein-Tyrosine Kinases Mutation Pharmaceutical Preparations Ethnicity Middle Aged Adolescent Leukemia, Myeloid, Acute Male Aged Aged, 80 and over Adult Republic of Korea Humans Young Adult Hematologic Neoplasms Artificial Intelligence Female Prognosis
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Can Hyperparameter Tuning Improve the Performance of a Super Learner?: A Case Study.

Epidemiology (Cambridge, Mass.) Jul 1, 2019
BACKGROUND: Super learning is an ensemble machine learning approach used increasingly as an alternative to classical prediction techniques. When implementing super learning, however, not tuning the hyperparameters of the algorithms in it may adversel...
Practice Patterns, Physicians' Antidepressive Agents Off-Label Use Logistic Models Data Interpretation, Statistical Primary Health Care Canada Machine Learning Algorithms Humans
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