Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 36,421 to 36,430 of 223,137 articles

SCAR-Net-assisted ultrasound diagnosis of postoperative scars and recurrent lesions in breast cancer.

iScience Apr 1, 2026
Postoperative differentiation between scar tissue and recurrent lesions in patients with breast cancer presents a significant diagnostic challenge. This study introduces SCAR-Net, a deep learning model specifically designed for ultrasound-based discr... read more 

LCPBert: ProtBERT-based early-stage lung cancer prediction from T cell receptor beta sequences.

iScience Apr 1, 2026
Early detection of lung cancer remains challenging due to limitations of current methods. We developed LCPBert, a deep learning framework leveraging peripheral blood T cell receptor beta (TCRβ) repertoires for early detection of lung cancer. LCPBert ... read more 

Towards generalizable pathology reports via a multimodal LLM with the multicenter in-context learning.

Medical image analysis Apr 1, 2026
Pathology report generation has received increasing attention in recent years. However, existing pathology report generation methods still face two main limitations: (1) these methods utilize image-report datasets where some report contents are irrel... read more 

UniPET: A universal network for high-quality PET image denoising across varied dose reduction factors.

Medical image analysis Apr 1, 2026
Most existing deep learning-based PET image denoising methods assume a fixed and known dose reduction factor (DRF) for low-dose PET images. However, these methods encounter significant performance degradation when the DRF varies beyond the assumed on... read more 

NeuroGT: Biophysically grounded graph transformers for self-supervised representation learning of neuronal morphology.

Medical image analysis Apr 1, 2026
The intricate shape of a neuron is a fundamental determinant of its computational role, and its quantitative analysis is crucial for deciphering brain function. The advent of high-throughput imaging has produced neuronal reconstructions at unpreceden... read more 

Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods.

Medical image analysis Apr 1, 2026
Magnetic resonance imaging (MRI) has greatly advanced neuroscience research and clinical diagnostics. However, imaging data collected across different scanners, acquisition protocols, or imaging sites often exhibit substantial heterogeneity, known as... read more 

Exploration of an admittance control method for multi-segment spinal motion loading.

Clinical biomechanics (Bristol, Avon) Apr 1, 2026
BACKGROUND: In vitro testing is a fundamental approach for advancing spinal biomechanics research. However, existing loading methods still exhibit notable limitations in physiological realism and motion controllability. This study introduces a spinal... read more 

Profiling spatiotemporal contexts associated with compound exposure disadvantages in noise and greenery: A study using mobile sensors and explainable machine learning.

Social science & medicine (1982) Apr 1, 2026
Although exposures to noise or greenery in isolation have been widely studied, limited research has explored the nonlinear associations between spatiotemporal contexts and compound disadvantages from a daily mobility perspective. Drawing on data from... read more 

Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases Apr 1, 2026
OBJECTIVE: The 2025 measles outbreak in Mexico (5741 cases) marked a severe decline in immunization resilience. We aimed to measure this systemic vulnerability and project 2026 coverage. DESIGN OR METHODS: A Bayesian Ridge Regression model was built ... read more 

Arterial pulse harmonic alterations: a novel biomarker linking vascular dysfunction to prefrailty.

Experimental gerontology Apr 1, 2026
BACKGROUND AND AIMS: The identification of prefrailty, a reversible state of vulnerability in older adults, remains a clinical challenge. Arterial stiffness-a hallmark of vascular aging-has been implicated in frailty, suggesting shared pathophysiolog... read more 
Popular Topics
Recent Journals