AI Medical Compendium

AI-Driven Farm-To-Fork Biofilm Detection and Control in Aquatic Foods: From Industry 4.0 to Industry 5.0.

Comprehensive reviews in food science and food safety May 1, 2026

Aquatic foods are essential sources of protein and micronutrients and play a critical role in global nutrition, trade, and livelihoods. However, their safety and sustainability are frequently compromised by microbial contamination and biofilm formati... read more

Touch Modulates Gamma-Band Network Dynamics in the Infant Brain.

Developmental psychobiology May 1, 2026

Touch is a foundational sensory modality in early development, playing a pivotal role in shaping social, emotional, and cognitive functions. This study focused on EEG data from 8-month-old infants to investigate the neural networks underlying the pro... read more

Advances in Avian Diagnostic Pathology: Current Trends, Challenges and Future Directions: A Review.

Veterinary medicine and science May 1, 2026

Avian pathology is the scientific study of diseases in birds, focusing on the structural, functional and molecular changes in tissues and organs caused by infections, toxins, nutritional deficiencies or others. It plays a critical role in maintaining... read more

Multiparametric MRI-based Deep Learning and Radiomics for Evaluating Lymph Node Metastasis in Early-Stage Cervical Cancer.

Radiology. Imaging cancer May 1, 2026

Purpose To develop a multiparametric MRI-based radiomics model and deep learning-radiomics (DLR) fusion model for preoperative prediction of lymph node metastasis (LNM) in early-stage cervical cancer. Materials and Methods In this multicenter retrosp... read more

Facilitating the Implementation of Artificial Intelligence as Complex Health Interventions in Intensive Care Nursing.

Nursing in critical care May 1, 2026

Artificial intelligence (AI) has the potential to integrate and digest vast amounts of information to aid clinical decision-making and organise the logistics, processes and delivery of healthcare services, especially in the areas of patient data anal... read more

Noninvasive Tests for Predicting Decompensation in Compensated Advanced Chronic Liver Disease: A Comprehensive Review.

Liver international : official journal of the International Association for the Study of the Liver May 1, 2026

Strong non-invasive tests (NITs) are needed to predict decompensation in patients with compensated advanced chronic liver disease (cACLD) and improve personalized patient care. We conducted a comprehensive review of the studies evaluating the effecti... read more

Cross-Site Generalization of CNN-Based B 1 + $$ {B}_1^{+} $$ Mapping in UHF MRI.

NMR in biomedicine May 1, 2026

Convolutional neural networks (CNNs) can rapidly predict channel-wise B 1 + $$ {B}_1^{+} $$ maps from 7T localizer images, reducing acquisition time to seconds. This paper investigates if a CNN trained on one site's data can generalize to predict... read more

A 25-Year Bibliometric and Scientometric Analysis of Facial Paralysis Rehabilitation: Knowledge Structure, Influential Works, and Emerging Research Frontiers (2000-2025).

Microsurgery May 1, 2026

BACKGROUND: Facial paralysis rehabilitation has progressed substantially over the past two decades, yet the scientific landscape of this field remains highly fragmented across surgical, neurological, and rehabilitation disciplines. Despite growing cl... read more

Application of Artificial Neural Network and the Monomolecular Model in Describing the Relationship Between Body Weight Gain and Metabolizable Energy Intake in Egg-Type Pullets.

Veterinary medicine and science May 1, 2026

BACKGROUND: Modelling growth allows nutritionists and poultry researchers to predict dynamic or daily nutrient needs more precisely than using fixed requirements. OBJECTIVES: This study evaluated the monomolecular model and artificial neural network ... read more

HISTAI: a valuable dataset with a valuable lesson.

The journal of pathology. Clinical research May 1, 2026

The application of artificial intelligence in computational pathology depends on both robust algorithms and high-quality, clinically reliable data. Progress in this field has been limited by the scarcity of large, diverse, and well-validated whole sl... read more

Artificial Intelligence Medical Compendium