Artificial Intelligence Medical Compendium

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

Showing 691 to 700 of 159,839 articles

Collaborative Internal Cavity Effect and Interfacial Modulation Mechanism for Boosting Deep Learning-Powered Immunochromatographic Pathogen Detection.

Analytical chemistry Jul 15, 2025
Nanoenabled immunochromatographic assay (ICA) emerges as a powerful tool for pathogen diagnosis, yet current nanotechnologies are still constrained by inadequate light-matter interaction efficiency, sluggish nanomaterial flow dynamics, and inefficien... read more 

Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models.

IEEE transactions on medical imaging Jul 15, 2025
Positron Emission Tomography (PET) is a valuable imaging method for studying molecular-level processes in the body, such as hyperphosphorylated tau (p-tau) protein aggregates, a hallmark of several neurodegenerative diseases including Alzheimer's dis... read more 

Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking

arXiv Jul 15, 2025
As valuable digital assets, deep neural networks necessitate robust ownership protection, positioning neural network watermarking (NNW) as a promising solution. Among various NNW approaches, weight-based methods are favored for their simplicity and... read more 
Cryptography and Security Machine Learning

Predicting the interfacial tension of CO and NaCl aqueous solution with machine learning.

Scientific reports Jul 15, 2025
Achieving carbon neutrality requires effective strategies to reduce CO emissions, and geological sequestration of CO is considered among the most promising and economically viable options. The interfacial tension (IFT) between the CO and the surround... read more 

Landslide data sample augmentation and landslide susceptibility analysis in Nyingchi City based on the MCMC model.

Scientific reports Jul 15, 2025
This study aims to improve landslide susceptibility analysis in Nyingchi City by addressing the challenge of limited landslide sample data. A total of 11 influencing factors-including elevation, slope, aspect, terrain roughness, terrain moisture inde... read more 

Enhanced detection of Argulus and epizootic ulcerative syndrome in fish aquaculture through an improved deep learning model.

Journal of aquatic animal health Jul 15, 2025
OBJECTIVE: Fish disease in aquaculture is a major risk to food safety. The identification of infected fish and disease categories present in fish farms remains difficult to determine at an early stage. Detecting infected fish in time is an essential ... read more 

Implementing Adaptations for Vision AutoRegressive Model

arXiv Jul 15, 2025
Vision AutoRegressive model (VAR) was recently introduced as an alternative to Diffusion Models (DMs) in image generation domain. In this work we focus on its adaptations, which aim to fine-tune pre-trained models to perform specific downstream tas... read more 
Computer Vision and Pattern Recognition Machine Learning I.2.6; I.5.1; I.4.8; I.2.10

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

The Analyst Jul 15, 2025
RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of their safety, efficacy, and shortened time from disease discovery to therapy development. Microfluidic electrophoresis provides a great analytical plat... read more 

MSA at ImageCLEF 2025 Multimodal Reasoning: Multilingual Multimodal Reasoning With Ensemble Vision Language Models

arXiv Jul 15, 2025
We present a robust ensemble-based system for multilingual multimodal reasoning, designed for the ImageCLEF 2025 EXAMS V challenge. Our approach integrates Gemini 2.5 Flash for visual description, Gemini 1.5 Pro for caption refinement and consisten... read more 
Computation and Language

Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T-FLAIR: a multi-centre study.

NPJ digital medicine Jul 15, 2025
Early identification of cerebral small vessel disease related cognitive impairment (CSVD-CI) is crucial for timely clinical intervention. We developed a Transformer-based deep learning model using white matter hyperintensity (WMH) radiomics features ... read more 
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