AI Medical Compendium

Real-time prediction of emergency department admissions using an AI model and its integration into hospital bed-planning.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias Apr 1, 2026

OBJECTIVE: To design, validate, and implement a tool based on a machine-learning model capable of predicting emergency patient admissions in real time, and to develop an application that integrates the model together with traditional indicators of he... read more

Reflections on the use of language models and artificial intelligence in emergency department triage.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias Apr 1, 2026

Improved Hybrid Local Binary Structural Pattern Shallow Graph Deep Convolutional Attention Neural Networks With Synergistic Fibroblast Optimization for Automated Epileptic Seizure Detection and Diagnosis in EEG Signals.

Developmental neurobiology Apr 1, 2026

Epileptic seizure (ES) detection from electroencephalography (EEG) signals is difficult because of noise and the intricate, patient-specific nature of brain activity. Traditional methods often suffer from low accuracy, high computational costs, and p... read more

A Robust Computational Framework for Autism Spectrum Disorder Identification Using Optimized Image Processing and Hybrid Learning Models.

Developmental neurobiology Apr 1, 2026

The classification of autism spectrum disorder (ASD) has reached a new stage of development that includes the former machine learning (ML) designs and image analysis designs. The study introduces a new framework that uses discrete wavelet transformat... read more

Interpretable LightGBM model with SHAP analysis predicts non-excellent response to initial radioiodine therapy in differentiated thyroid carcinoma.

Journal of applied clinical medical physics Apr 1, 2026

PURPOSE: To identify independent determinants influencing therapeutic outcomes of initial radioactive iodine (1 3 1I) therapy in differentiated thyroid carcinoma (DTC) and establish an interpretable predictive framework for clinical decision-making. ... read more

A Numerical Approach to Brace Treatment Prediction by Comprehensive Biomechanical Modeling of Adolescent Idiopathic Scoliosis.

International journal for numerical methods in biomedical engineering Apr 1, 2026

Adolescent idiopathic scoliosis (AIS) requires effective and personalized brace treatment strategies to prevent progression and the potential need for surgery. However, monitoring and prediction of the spinal column deformities during bracing is not ... read more

Integrating Eye Tracking and Inertial Sensing for Enhanced Freezing of Gait Detection in Parkinson's Disease.

The European journal of neuroscience Apr 1, 2026

Freezing of gait (FOG), a disabling symptom in Parkinson's disease, presents a major challenge for wearable classification algorithms that struggle to distinguish freezes from voluntary stops. To address this ambiguity, we evaluated whether incorpora... read more

A deep learning model for histopathological diagnosis of actinic keratosis: a diagnostic case control accuracy study.

Italian journal of dermatology and venereology Apr 1, 2026

BACKGROUND: Actinic keratosis (AK) is a precancerous skin lesion with the potential to progress into squamous cell carcinoma (SCC), with an overall prevalence of 14%. Although AK is not routinely biopsied, it represents a significant portion of derma... read more

ICECREAM: high-fidelity equivariant cryo-electron tomography.

Acta crystallographica. Section D, Structural biology Apr 1, 2026

Cryo-electron tomography (cryo-ET) visualizes 3D cellular architecture in its near-native state. The various deep-learning methods have improved denoising and artifact correction, but remain challenged by a very low signal-to-noise ratio, a restricte... read more

Inferring time-varying internal models of agents through dynamic structure learning.

Behavioral neuroscience Apr 1, 2026

Reinforcement learning models usually assume a stationary internal model structure of agents, which consists of fixed learning rules and environment representations. However, this assumption does not allow accounting for real problem solving by indiv... read more

Artificial Intelligence Medical Compendium