AI Medical Compendium

Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisements

arXiv Jul 17, 2025

Autonomous multimodal language models are rapidly evolving into web agents that can browse, click, and purchase items on behalf of users, posing a threat to display advertising designed for human eyes. Yet little is known about how these agents int... read more

Information Retrieval

NeuraLeaf: Neural Parametric Leaf Models with Shape and Deformation Disentanglement

arXiv Jul 17, 2025

We develop a neural parametric model for 3D leaves for plant modeling and reconstruction that are essential for agriculture and computer graphics. While neural parametric models are actively studied for humans and animals, plant leaves present uniq... read more

Computer Vision and Pattern Recognition Graphics

Prediction of glycaemic control and quality of life in people with type 2 diabetes using glucose-lowering drugs with machine learning-The Maastricht study.

Diabetes, obesity & metabolism Jul 17, 2025

BACKGROUND: Despite the heterogeneity of type 2 diabetes (T2D), all patients are treated according to the same guideline. Some people have more difficulty reaching treatment goals (adequate glycaemic control) and maintaining quality of life (QoL). Th... read more

Effectiveness of predictive scoring systems in predicting mortality in relation to baseline kidney function in adult intensive care unit patients: a systematic review protocol.

BMJ open Jul 17, 2025

INTRODUCTION: Predictive scoring systems support clinicians in decision-making by estimating the prognosis of patients in intensive care units (ICUs). However, there is limited evidence on the accuracy of these systems in predicting mortality and org... read more

Humans Research Design Prognosis Intensive Care Units Adult Risk Assessment Hospital Mortality Kidney Systematic Reviews as Topic Organ Dysfunction Scores

Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS.

BMC bioinformatics Jul 17, 2025

BACKGROUND: Clostridioides difficile is a major cause of hospital-acquired diarrhea and a driver of nosocomial outbreaks, yet rapid, accurate ribotype identification remains challenging. We sought to develop a MALDI-TOF MS-based workflow coupled with... read more

Humans Machine Learning Internet Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Ribotyping Clostridium Infections Clostridioides difficile

Artificial intelligence for endoscopic grading of gastric intestinal metaplasia: advancing risk stratification for gastric cancer.

Endoscopy Jul 17, 2025

BACKGROUND AND STUDY AIMS: Endoscopic Grading of Gastric Intestinal Metaplasia (EGGIM) correlates with histological assessment of GIM and enables stratification of risk to gastric cancer. We aimed at developing and evaluating an Artificial Intelligen... read more

Automatic selection of optimal TI for flow-independent dark-blood delayed-enhancement MRI.

Magnetic resonance in medicine Jul 17, 2025

PURPOSE: Propose and evaluate an automatic approach for predicting the optimal inversion time (TI) for dark and gray blood images for flow-independent dark-blood delayed-enhancement (FIDDLE) acquisition based on free-breathing FIDDLE TI-scout images. read more

Virtual Screening of Novel Eco-Friendly Gaseous Dielectrics through Dimensionless Bond Decomposition and Machine Learning Algorithm.

The journal of physical chemistry. A Jul 17, 2025

Identification of environmentally friendly gaseous dielectrics to replace the most potent greenhouse gas SF is urgently desired in the worldwide high-voltage electrical industry. However, the great challenge for SF-free technology remains because of ... read more

The impact of artificial intelligence on green economy efficiency under integrated governance.

Scientific reports Jul 17, 2025

This study investigates the impact of Artificial Intelligence (AI) on Green Economic Efficiency (GEE) using panel data from 30 Chinese provinces spanning from 2011 to 2020. The empirical results demonstrate that AI significantly enhances GEE, with it... read more

A multi-stage training and deep supervision based segmentation approach for 3D abdominal multi-organ segmentation.

Journal of X-ray science and technology Jul 17, 2025

Accurate X-ray Computed tomography (CT) image segmentation of the abdominal organs is fundamental for diagnosing abdominal diseases, planning cancer treatment, and formulating radiotherapy strategies. However, the existing deep learning based models ... read more

Artificial Intelligence Medical Compendium