AI Medical Compendium

Comment on "The optimal labelling method for artificial intelligence-assisted polyp detection in colonoscopy".

Journal of the Formosan Medical Association = Taiwan yi zhi Mar 19, 2026

Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning.

Tropical medicine & international health : TM & IH Mar 19, 2026

Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), tra... read more

LiBRe: A Ligand-Aware Sequence-Based Binding Residue Prediction Model for Virtual Screening.

Journal of chemical information and modeling Mar 19, 2026

Identifying protein-ligand binding residues is fundamental to unlocking molecular recognition and advancing therapeutic development. Sequence-based deep learning models for predicting protein-ligand binding residues have gained attention due to their... read more

A Lightweight Dual-Attention Neural Network for Robust and Efficient EEG Motor Imagery Decoding.

International journal of neural systems Mar 19, 2026

Motor imagery-based brain-computer interface (MI-BCI) faces a critical challenge in achieving effective spatial-temporal feature modeling while maintaining a compact model parameterization. Herein, a lightweight model was proposed, termed as Dual-Att... read more

Zero-Shot Evolutionary Architecture Search for Low-Rank Adaptation.

International journal of neural systems Mar 19, 2026

Fine-tuning large-scale Transformer-based models is computationally expensive due to the enormous parameter space. Low-Rank Adaptation (LoRA) substantially reduces the number of trainable parameters while maintaining performance; however, identifying... read more

Deep-Learning-Based Image Reconstruction to Improve End-Diastolic and Systolic Cardiac T1 Mapping.

Magnetic resonance in medicine Mar 19, 2026

PURPOSE: To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end-diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by ... read more

Advancing digital mental healthcare: the role of artificial intelligence and natural language processing in powering medical chatbots for future healthcare interventions.

Expert review of medical devices Mar 19, 2026

INTRODUCTION: The fusion of Artificial Intelligence and Machine Learning in the context of healthcare informatics has opened up revolutionary improvements with the help of applications in Artificial Intelligence-powered NLP (Natural Language Processi... read more

A proof-of-concept machine learning model for short-term suicide risk stratification in depressed youth.

Translational psychiatry Mar 19, 2026

Machine learning (ML) offers promise for suicide risk stratification in depressed youth, yet its clinical application remains methodologically challenging. Using prospective data from 602 Chinese patients aged 15-24 years collected between January 20... read more

Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.

Nature communications Mar 19, 2026

Synaptic plasticity, defined as the ability of connections between neurons to strengthen or weaken over time, is essential for learning, yet unregulated plasticity can lead to instability. Inspired by biological feedback mechanisms, we propose a fram... read more

Visual guided AI color art image generation using enhanced GAN.

Scientific reports Mar 19, 2026

With the improvement of material living standards, the application of Artificial Intelligence technology for generating color art images effectively meets the growing spiritual needs of people. However, traditional manual drawing methods rely on arti... read more

Artificial Intelligence Medical Compendium