AI Medical Compendium

CSM-Net: Relation embedding for few shot learning optimized by cross memory attention.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2026

Few-shot learning is one of the important research areas in machine learning. It aims to train models with extremely limited labeled samples and generalize to unseen categories or tasks. The key challenges are learning class-specific representations ... read more

The utility of large language models in oncological multidisciplinary team meetings: A systematic review.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Mar 6, 2026

Large language models (LLMs) have emerged in recent years as innovative artificial intelligence systems with early potential in clinical decision-making. This is the first systematic review to evaluate LLMs' oncological decision-making and compare th... read more

Deep learning-assisted Raman spectroscopic quantification of total terpenes in Curcuma kwangsiensis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 6, 2026

A rapid and efficient strategy was developed to quantify the total terpene content of Curcuma kwangsiensis by combining Raman spectroscopy with a Residual-Squeeze-and-Excitation one-dimensional convolutional neural network (Res-SE 1D-CNN). A dataset ... read more

Exploring the therapeutic potential of Radix Puerariae isoflavonoids against atherosclerosis through integrative network pharmacology and machine learning.

Computational biology and chemistry Mar 6, 2026

Atherosclerosis (AS) is a chronic inflammatory disease of the vascular wall driven by a complex interplay between dysregulated immune responses and lipid retention. Its systemic complications remain the leading global cause of mortality. Despite curr... read more

A systematic review of machine and deep learning techniques for acute lymphoblastic leukemia diagnosis.

Artificial intelligence in medicine Mar 6, 2026

Acute lymphoblastic leukemia (ALL) is a hematological malignancy characterized by the rapid proliferation of immature white blood cells in the bone marrow. Early and accurate diagnosis is essential for improving clinical outcomes; however, distinguis... read more

Integrated microneedle patch and machine learning in time-resolved fluorescent immunochromatography test strip for accurate and rapid detection of Staphylococcus aureus enterotoxin B in salmon.

International journal of food microbiology Mar 6, 2026

Staphylococcus aureus enterotoxin B (SEB) is a leading cause of foodborne illness. In this study, we developed a time-resolved fluorescent immunochromatography test strip (TRFITS) combined with a hydrogel microneedle patch (HMNP) and machine learning... read more

AI-based quality control was associated with improved fetal ultrasound image quality in low-resource settings: a real-world multicenter study from West China.

BMC medicine Mar 6, 2026

BACKGROUND: Despite rapid advances in medical artificial intelligence (AI), robust evidence for real-world clinical application-particularly in low-resource settings (LRS)-remains limited. To address this gap, we conducted a multicenter evaluation of... read more

Plasma proteomic and machine learning models for differentiating idiopathic pulmonary fibrosis and connective tissue disease-associated interstitial lung disease: findings from a prospective cohort.

Respiratory research Mar 6, 2026

Screening, validation, and transcriptional regulation analysis of oxidative stress-related biomarkers in gestational diabetes mellitus: SH3BP5, ITGAM, PRRG1, and MIS12.

European journal of medical research Mar 6, 2026

BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication linked to adverse outcomes, highlighting the need for new diagnostic markers. This study aimed to identify oxidative stress-related genes as potential biomarkers for G... read more

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 6, 2026

Oscillatory dynamics play a central role in the description of a broad spectrum of physical systems. While often well-approximated by linear models, the essential long-term evolution and stability of these systems are frequently determined by subtle ... read more

Artificial Intelligence Medical Compendium