New Conjugate Gradient Algorithm Enhances Heart Disease Prediction
A new conjugate gradient method derived from a second-order Taylor series expansion improves neural network training efficiency and heart disease ...
Tag: Machine Learning
Open-Source Python Toolkit Automates Sperm Motility Analysis
A new open-source Python toolkit called pycasa automates computer-assisted semen analysis, offering a transparent and modular alternative to proprietary laboratory ...
MRI-based machine learning model predicts aggressive tumor budding in breast cancer before surgery
An interpretable MRI-based machine learning nomogram predicted tumor budding grade in breast cancer with AUCs of 0.906, 0.845 and 0.825 ...
Machine Learning Models Analyze Tabular Clinical Data to Improve Glaucoma Detection
A systematic review of 35 studies demonstrates that machine learning models analyzing structured clinical, imaging, and demographic data achieve diagnostic ...
New AI Model Predicts Molecular Toxicity Using 3D Geometry
A new AI framework called MolMMP improves molecular toxicity prediction by integrating SMILES sequences, graph topology, and 3D geometric data.
Spectroscopic Technology Advances Agricultural Product Quality and Food Safety Detection Systems
A scientific review details how advanced spectroscopic detection technologies and machine learning algorithms enable non-destructive quality evaluation, nutrient profiling, and ...
New q-Gradient Method Improves Machine Learning Optimization
A new optimization framework called VJqGD uses Jackson q-calculus to improve machine learning stability, achieving top accuracy on four UCI ...
Machine Learning Model Improves Breast Cancer Risk Stratification
A new machine learning model integrating genomic, immune, and clinical data improves prognostic stratification in ER-positive/HER2-negative early breast cancer by ...
Machine learning spots liver scarring in metabolic liver disease
Explainable machine-learning models built from routine clinical variables outperformed conventional fibrosis scores for identifying significant fibrosis in adults with MASLD ...
Supplemental Oxygen Masks Postoperative Opioid Respiratory Risks
A new review in Frontiers in Medicine highlights how supplemental oxygen can mask signs of opioid-induced respiratory depression, complicating postoperative ...
Speech and Language Analysis Identifies Parkinson’s Disease and Cognitive Impairment
An automated framework combining acoustic and linguistic speech features achieved high accuracy in detecting Parkinson's disease and characterizing associated mild ...
Hidden Markov Model Tracks Menstrual Cycle Phases from Urinary Hormone Data
The researchers designed the model, known as an arHMM, to evaluate dynamic day-to-day hormone trajectories rather than relying on absolute ...
AI Model Combines CT Scans and Body Composition to Predict Gastric Cancer Chemotherapy Response
A multimodal machine learning model integrating clinical data, tumor radiomics, and body composition from CT scans predicted neoadjuvant chemotherapy response ...
Baseline Cognition Shapes Machine Learning Predictions After Carbon Monoxide Poisoning Rehabilitation
A retrospective cohort study found that baseline cognitive assessment scores accounted for nearly all predictive information regarding cognitive score changes ...
Machine learning survey maps 62 studies chasing early Alzheimer’s diagnosis
A systematic review of 62 studies finds no single machine learning algorithm consistently best for early Alzheimer's detection, with very ...
Research report: Prediction models developed using artificial intelligence: similar predictive performances with highly varying predictions for individuals – an illustration in deep vein thrombosis
Researchers found that artificial intelligence algorithms predicting deep vein thrombosis produced widely conflicting probability estimates for individual patients despite showing ...
Cardiorespiratory Features Evaluated for Machine Learning Classification of Anxiety Stimuli
A machine learning study evaluating Hilbert- and wavelet-derived cardiorespiratory features found high within-dataset accuracy for classifying anxiety-inducing stimuli but near-chance ...
Biopsy-Trained AI Detects Prostate Cancer in TURP and HoLEP Tissue
A retrospective study in Diagnostic Pathology found that a biopsy-trained AI algorithm achieved 94.3% sensitivity for detecting incidental prostate adenocarcinoma ...
Five-Minute Heart Rate Profile Predicts Surgical Arrhythmia
A secondary analysis of the VitalDB Arrhythmia Database shows that a five-minute intraoperative heart rate variability profile can predict significant ...
Dual Ultrasound Imaging Accurately Stages Liver Fibrosis in Preclinical Rat Study
A preclinical study demonstrates that combining shear wave elastography and ultrasound localization microscopy improves noninvasive liver fibrosis staging in rats ...
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