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Combining Real-Time Neuroimaging With Machine Learning to Study Attention to Familiar Faces During Infancy: A Proof of Principle Study.

Developmental science Jan 1, 2025
Looking at caregivers' faces is important for early social development, and there is a concomitant increase in neural correlates of attention to familiar versus novel faces in the first 6 months. However, by 12 months of age brain responses may not d...
Electroencephalography Female Attention Male Face Humans Infant Evoked Potentials Machine Learning Bayes Theorem Neuroimaging Facial Recognition Brain Recognition, Psychology
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Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study.

Dento maxillo facial radiology Jan 1, 2025
OBJECTIVES: The main objective was to develop and evaluate an artificial intelligence model for tooth segmentation in magnetic resonance (MR) scans.
Deep Learning Pilot Projects Imaging, Three-Dimensional Magnetic Resonance Imaging Female Adult Humans Tooth Male
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Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical prediction models (CPMs) in shared decision-making for patients with kidney failure on dialysis. We explore factors that inform acceptability, interpretabi...
Caregivers Focus Groups Decision Making, Shared Middle Aged Attitude of Health Personnel Female Renal Dialysis Humans Adult Male Machine Learning Trust Clinical Decision-Making
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Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVE: Access to firearms is associated with increased suicide risk. Our aim was to develop a natural language processing approach to characterizing firearm access in clinical records.
Machine Learning Electronic Health Records Female Male Middle Aged Suicide Logistic Models United States Humans Natural Language Processing United States Department of Veterans Affairs Firearms
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Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVE: This study aims to automate the prediction of Mini-Mental State Examination (MMSE) scores, a widely adopted standard for cognitive assessment in patients with Alzheimer's disease, using natural language processing (NLP) and machine learnin...
Female Aged Aged, 80 and over Humans Male Machine Learning Natural Language Processing Phenotype Alzheimer Disease Electronic Health Records Mental Status and Dementia Tests
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SCIseg: Automatic Segmentation of Intramedullary Lesions in Spinal Cord Injury on T2-weighted MRI Scans.

Radiology. Artificial intelligence Jan 1, 2025
Purpose To develop a deep learning tool for the automatic segmentation of the spinal cord and intramedullary lesions in spinal cord injury (SCI) on T2-weighted MRI scans. Materials and Methods This retrospective study included MRI data acquired betwe...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Spinal Cord Injuries Adult Male Middle Aged Deep Learning Retrospective Studies Female Aged Humans
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Integrated Deep Learning Model for the Detection, Segmentation, and Morphologic Analysis of Intracranial Aneurysms Using CT Angiography.

Radiology. Artificial intelligence Jan 1, 2025
Purpose To develop a deep learning model for the morphologic measurement of unruptured intracranial aneurysms (UIAs) based on CT angiography (CTA) data and validate its performance using a multicenter dataset. Materials and Methods In this retrospect...
Cerebral Angiography Intracranial Aneurysm Deep Learning Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Humans Retrospective Studies Female Male Middle Aged
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Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians' use of machine learning in perioperative care.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: Successful implementation of machine learning-augmented clinical decision support systems (ML-CDSS) in perioperative care requires the prioritization of patient-centric approaches to ensure alignment with societal expectations. We assesse...
Humans Machine Learning Male Middle Aged Surveys and Questionnaires Decision Support Systems, Clinical Female Aged Young Adult Adult Public Opinion Attitude to Health Focus Groups Perioperative Care
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Deconstructing Cognitive Impairment in Psychosis With a Machine Learning Approach.

JAMA psychiatry Jan 1, 2025
IMPORTANCE: Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the disorder, cognitive impairments may reflect a...
Psychotic Disorders Risk Factors Adult Cross-Sectional Studies Middle Aged Humans Male Cognitive Dysfunction Machine Learning Bipolar Disorder Female Schizophrenia
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Prediction of vaults in eyes with vertical implantable collamer lens implantation.

Journal of cataract and refractive surgery Jan 1, 2025
PURPOSE: To design formulas for predicting postoperative vaults in vertical implantable collamer lens (ICL) implantation and to achieve more precise predictions using machine learning models.
Retrospective Studies Female Young Adult Adult Humans Machine Learning Visual Acuity Biometry Lens Implantation, Intraocular Phakic Intraocular Lenses Male Middle Aged Refraction, Ocular Myopia
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