AI Medical Compendium

H-DCA Net: Hierarchical dual-branch coordinate attention framework for multi-scale gastric histopathology diagnosis.

Pathology, research and practice Feb 14, 2026

BACKGROUND AND OBJECTIVE: Early and accurate diagnosis of gastric cancer is crucial for improving patient prognosis. However, conventional histopathological diagnosis is constrained by subjectivity and low efficiency. Current computer-aided diagnosis... read more

Unraveling the influence of storage condition on off-flavor generation in fried pepper (Zanthoxylum bungeanum Maxim.) oil during storage through molecular sensory science and simulation experiment.

Food chemistry Feb 14, 2026

As a popular seasoning, fried pepper oil (FPO) conveniences the cooking of cuisine. However, it is susceptible to rancid off-flavors during storage. Therefore, the aim of this study was to explore the formation pathways of off-flavor compounds using ... read more

The understandability and actionability of AI-generated information for patients with chronic kidney disease.

Patient education and counseling Feb 14, 2026

OBJECTIVES: This study assessed the understandability, actionability, and overall quality of Artificial Intelligence (AI)-generated responses to frequently posed questions related to chronic kidney disease (CKD), compared to expert information. METHO... read more

AI for detecting and localizing concurrent abrupt and incipient leaks in water distribution networks.

Water research Feb 14, 2026

Water leakage detection and localization in water distribution networks (WDNs) are critical for sustainable water management, economic efficiency, and infrastructure integrity. Traditional inspection and hydraulic simulation methods often fail to pro... read more

Neural network surrogates for musculoskeletal models: An application to implant alignment in total knee arthroplasty.

Journal of biomechanics Feb 14, 2026

Total knee arthroplasty (TKA) is an effective treatment for end-stage knee osteoarthritis (OA). However, dissatisfaction persists in one in five patients. Musculoskeletal model-based approaches have the potential to predict implant alignment that res... read more

GFASNet: Gait feature attention-driven deep sequential network for dementia-related gait pattern analysis.

Artificial intelligence in medicine Feb 14, 2026

Deep learning models leveraging human activity data, such as gait, have shown promise for dementia prediction. However, their limited interpretability and lack of clinically meaningful insights restrict their translational value in cognitive health r... read more

GAST-NET: A multi-modal and multi-task deep learning framework for preoperative prediction of perineural invasion and prognostic risk in gastric cancer.

International journal of medical informatics Feb 14, 2026

BACKGROUND: Preoperative imaging prediction of perineural invasion in gastric cancer (GC-PNI) mainly relies on tumour characteristics and clinical variables, while the potential of non-tumour-derived multimodal features remains underexplored. METHOD:... read more

Multimodal hybrid mamba classification model for tumor pathological grade prediction using magnetic resonance images.

Neural networks : the official journal of the International Neural Network Society Feb 14, 2026

Malignant tumors present a significant global health challenge, and accurate pathological grading is essential for personalized treatment. Traditional grading methods, which rely on invasive biopsies, are limited by tumor location. In contrast, magne... read more

Fixed time synchronization of delayed fractional memristive Hopfield neural networks and its fractal dimension analysis.

Neural networks : the official journal of the International Neural Network Society Feb 14, 2026

In this article, the fixed time synchronization of fractional memristive Hopfield neural networks with constant delay is investigated using two different feedback controllers. Of proposed two controllers, first one follows the existing fixed time sta... read more

Does the diffuse OH-stretch band in the IR spectrum of protonated oxalate exhibit quantum chaos?

The Journal of chemical physics Feb 14, 2026

We report and analyze vibrational self-consistent field and configuration interaction calculations of the infrared spectrum of protonated oxalate using precise machine-learned fits to electronic energies and dipole moment surfaces. For these fits, we... read more

Artificial Intelligence Medical Compendium