AIMC Topic: Young Adult

Clear Filters Showing 4341 to 4350 of 5268 articles

Prediction of Poor Visual Outcomes at Idiopathic Intracranial Hypertension Diagnosis Using a Supervised Machine Learning Algorithm.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Dec 1, 2025
BACKGROUND: Idiopathic intracranial hypertension (IIH) is a vision-threatening disorder mainly affecting women of a reproductive age. Prompt diagnosis and intervention are vital to prevent vision loss, but validated tools to predict visual outcomes a...
Infant, Newborn Aged Young Adult Adult Male Middle Aged Infant Adolescent Child, Preschool Child Visual Fields Machine Learning Pseudotumor Cerebri Algorithms Prognosis Follow-Up Studies Retrospective Studies Visual Acuity Female Vision Disorders Supervised Machine Learning Humans
View on PubMed DOI

Human versus machine: deciding on high-stakes surgery in possible cauda equina syndrome.

The spine journal : official journal of the North American Spine Society Dec 1, 2025
BACKGROUND CONTEXT: Cauda equina syndrome (CES) is a spine surgical urgency requiring prompt intervention to prevent neurological deficits. Accurate identification of CES cases needing urgent surgery is essential to avoid long-term sequelae.
Male Cauda Equina Syndrome Humans Female Middle Aged Artificial Intelligence Adolescent Aged Retrospective Studies Patient Care Team Aged, 80 and over Clinical Decision-Making Young Adult Adult
View on PubMed DOI

Artificial intelligence predicts pregnancy complications based on cytokine profiles.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Dec 1, 2025
BACKGROUND: Early prediction of pregnancy complications is important for adequate and timely prevention, management, and reducing maternal/fetal pathogenesis.
Adult Case-Control Studies Pregnancy Complications Prognosis Pregnancy Female Young Adult Humans Artificial Intelligence Machine Learning Cytokines
View on PubMed DOI

Explainable artificial intelligence for prediction of refractory ulcerative colitis: analysis of a Japanese Nationwide Registry.

Annals of medicine Dec 1, 2025
OBJECTIVE: Ulcerative colitis (UC) is a chronic inflammatory bowel disease for which remission is dependent on corticosteroid (CS) treatment. The diversity of disease pathophysiology necessitates optimal case-specific treatment selection. This study ...
Remission Induction Japan Adrenal Cortex Hormones Humans Artificial Intelligence Adult Machine Learning Male Prognosis Middle Aged Female Colitis, Ulcerative Aged Registries Young Adult
View on PubMed DOI

Utility of Thin-slice Single-shot T2-weighted MR Imaging with Deep Learning Reconstruction as a Protocol for Evaluating Pancreatic Cystic Lesions.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Nov 20, 2025
PURPOSE: To assess the effects of industry-developed deep learning reconstruction with super resolution (DLR-SR) on single-shot turbo spin-echo (SshTSE) images with thickness of 2 mm with DLR (SshTSE) relative to those of images with a thickness of 5...
Image Interpretation, Computer-Assisted Pancreas Signal-To-Noise Ratio Pancreatic Cyst Female Humans Aged Retrospective Studies Aged, 80 and over Male Young Adult Middle Aged Adult Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

The Impact of Model-based Deep-learning Reconstruction Compared with that of Compressed Sensing-Sensitivity Encoding on the Image Quality and Precision of Cine Cardiac MR in Evaluating Left-ventricular Volume and Strain: A Study on Healthy Volunteers.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Nov 20, 2025
PURPOSE: To evaluate the effect of model-based deep-learning reconstruction (DLR) compared with that of compressed sensing-sensitivity encoding (CS) on cine cardiac magnetic resonance (CMR).
Male Ventricular Function, Left Stroke Volume Middle Aged Deep Learning Humans Female Reproducibility of Results Young Adult Adult Artifacts Image Processing, Computer-Assisted Data Compression Heart Magnetic Resonance Imaging, Cine Heart Ventricles Healthy Volunteers
View on PubMed DOI

From quality of life to sleep quality in Chinese college students: stress and anxiety as sequential mediators with nonlinear effects via machine learning.

Journal of affective disorders Nov 15, 2025
OBJECT: This study examines how quality of life is associated with sleep quality among Chinese university students through sequential mediation by perceived stress and sleep anxiety, using machine learning to uncover nonlinear effects.
Humans Machine Learning Female Young Adult China Adult Cross-Sectional Studies Adolescent Male Stress, Psychological Students Universities Quality of Life Sleep Quality Anxiety
View on PubMed DOI

Evaluation of an AI facial recognition system for Turner Syndrome screening and facial complexity: a prospective cohort.

International journal of medical informatics Nov 1, 2025
PURPOSE: Artificial intelligence-based facial recognition (AI-FR) is promising in diagnosis of diseases with distinct facial features. Our team has retrospectively constructed an AI-FR system for Turner Syndrome (TS) based on 1295 facial photographs ...
Female Young Adult Child Adult Humans Sensitivity and Specificity Automated Facial Recognition Artificial Intelligence Adolescent Face Prospective Studies Turner Syndrome
View on PubMed DOI

Depression is associated with treatment response trajectories in adults with Prolonged Grief Disorder: A machine learning analysis.

Journal of affective disorders Nov 1, 2025
BACKGROUND: Although evidence-based Prolonged Grief Disorder treatments (PGDT) exist, pretreatment characteristics associated with differential improvement remain unidentified. To identify clinical factors relevant to optimizing PGDT outcomes, we use...
Adolescent Treatment Outcome Double-Blind Method Grief Citalopram Adult Male Middle Aged Depression Humans Machine Learning Female Aged Aged, 80 and over Young Adult
View on PubMed DOI

Dynamic machine learning models for predicting cesarean delivery risk in women with no prior cesarean delivery: A retrospective nationwide cohort analysis.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Nov 1, 2025
OBJECTIVE: To develop and validate advanced machine learning (ML) models for predicting unplanned intrapartum cesarean deliveries in women with no previous cesarean delivery, using both static and dynamic clinical data.
Logistic Models Decision Trees Labor, Obstetric Cesarean Section Machine Learning Humans Young Adult Retrospective Studies Pregnancy Adult Female Risk Assessment ROC Curve
View on PubMed DOI
Popular Topics
Recent Journals