AIMC Topic: ROC Curve
Clear Filters Showing 1031 to 1040 of 3370 articles
Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.
American journal of ophthalmology
Feb 12, 2024
PURPOSE: Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progr...
Optic Nerve Diseases
Glaucoma, Open-Angle
Humans
Glaucoma
Middle Aged
Algorithms
Disease Progression
Retinal Ganglion Cells
Retrospective Studies
Deep Learning
Nerve Fibers
Female
Visual Fields
ROC Curve
Aged
Optic Disk
Follow-Up Studies
Visual Field Tests
Intraocular Pressure
Vision Disorders
Male
Area Under Curve
Tomography, Optical Coherence
Identifying Pathological Subtypes of Brain Metastasis from Lung Cancer Using MRI-Based Deep Learning Approach: A Multicenter Study.
Journal of imaging informatics in medicine
Feb 12, 2024
The aim of this study was to investigate the feasibility of deep learning (DL) based on multiparametric MRI to differentiate the pathological subtypes of brain metastasis (BM) in lung cancer patients. This retrospective analysis collected 246 patient...
Prediction of spontaneous distal ureteral stone passage using artificial intelligence.
International urology and nephrology
Feb 10, 2024
PURPOSE: Identifying factors predicting the spontaneous passage of distal ureteral stones and evaluating the effectiveness of artificial intelligence in prediction.
Artificial Intelligence to Determine Fetal Sex.
American journal of perinatology
Feb 9, 2024
OBJECTIVE: This proof-of-concept study assessed how confidently an artificial intelligence (AI) model can determine the sex of a fetus from an ultrasound image.
A multi-label transformer-based deep learning approach to predict focal visual field progression.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Feb 9, 2024
PURPOSE: Tracking functional changes in visual fields (VFs) through standard automated perimetry remains a clinical standard for glaucoma diagnosis. This study aims to develop and evaluate a deep learning (DL) model to predict regional VF progression...
Inconsistency between Human Observation and Deep Learning Models: Assessing Validity of Postmortem Computed Tomography Diagnosis of Drowning.
Journal of imaging informatics in medicine
Feb 9, 2024
Drowning diagnosis is a complicated process in the autopsy, even with the assistance of autopsy imaging and the on-site information from where the body was found. Previous studies have developed well-performed deep learning (DL) models for drowning d...
Detection of caries around restorations on bitewings using deep learning.
Journal of dentistry
Feb 9, 2024
OBJECTIVE: Secondary caries lesions adjacent to restorations, a leading cause of restoration failure, require accurate diagnostic methods to ensure an optimal treatment outcome. Traditional diagnostic strategies rely on visual inspection complemented...
Feature engineering from meta-data for prediction of differentially expressed genes: An investigation of Mus musculus exposed to space-conditions.
Computational biology and chemistry
Feb 6, 2024
Transcription profiling is a key process that can reveal those biological mechanisms driving the response to various exposure conditions or gene perturbations. In this work, we investigate the prediction of differentially expressed genes (DEGs) when ...
Automated detection and classification of the rotator cuff tear on plain shoulder radiograph using deep learning.
Journal of shoulder and elbow surgery
Feb 3, 2024
BACKGROUND: The diagnosis of rotator cuff tears (RCTs) using radiographs alone is clinically challenging; thus, the utility of deep learning algorithms based on convolutional neural networks has been remarkable in the field of medical imaging recogni...
Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography Interpretation.
Chest
Jan 29, 2024
BACKGROUND: Chest radiographs (CXRs) are still of crucial importance in primary diagnostics, but their interpretation poses difficulties at times.
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32121
- Neural Networks, Computer 30269
- Algorithms 27470
- Deep Learning 26967
- Artificial Intelligence 24893
- Robotics 13400
- Image Processing, Computer-Assisted 9754
- Retrospective Studies 9375
- Magnetic Resonance Imaging 6360
- Reproducibility of Results 5676
- Tomography, X-Ray Computed 4877
- Support Vector Machine 4777
- Computational Biology 4349
- Brain 4136
- Computer Simulation 3939
Recent Journals
- Scientific reports 6954
- Sensors (Basel, Switzerland) 4794
- PloS one 4240
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1186
- Journal of chemical information and modeling 1076
- Nature communications 1063
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 872
- IEEE transactions on neural networks and learning systems 859