Artificial Intelligence Medical Compendium

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

Showing 62,231 to 62,240 of 230,319 articles

Development of prediction models for perioperative opioid needs in laparoscopic cholecystectomy patients: A machine-learning approach.

Surgery open science
BACKGROUND: Changes in opioid prescribing practices have evolved, including perioperative settings. However, computerized clinical decision support systems to guide opioid prescribing remain limited. This study aimed to develop and validate predictio... read more 

Coniferyl aldehyde in ginger-Eucommiae Cortex enhances osteoarthritis treatment by modulating ALDOA and H3K23la histone lactylation.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND AND PURPOSE: Eucommiae Cortex (EC), a traditional Chinese medicinal herb, has been utilized to treat osteoarthritis (OA). The therapeutic efficacy of EC can be augmented by combining it with ginger juice. OA is often linked to metabolic di... read more 

Assessing the performance of quantum-mechanical descriptors in physicochemical and biological property prediction.

Digital discovery
Machine learning (ML) approaches have drastically advanced the exploration of structure-property and property-property relationships in computer-aided drug discovery. A central challenge in this field is the identification of molecular descriptors th... read more 

Decoding polyethylene formation in Cr/PNP catalyzed ethylene oligomerization via experimentally guided machine learning.

Chemical science
Polyethylene formation remains a critical side reaction in ethylene selective oligomerization, lowering α-olefin yields and lacking reliable predictive strategies. Here, an automated workflow incorporating structural parsing and indexing was develope... read more 

Investigating the role of sensorimotor versus contextual cues in the sense of joint agency: a human-human and human-robot study.

Neuropsychologia
Sense of Joint Agency (SoJA), is the feeling of control experienced by humans for their own, as well as their partner's actions, when acting in joint action with others. SoJA is ubiquitous in human-human interaction. Therefore, it is both interesting... read more 

Analyzing VLM-Based Approaches for Anomaly Classification and Segmentation

arXiv
Vision-Language Models (VLMs), particularly CLIP, have revolutionized anomaly detection by enabling zero-shot and few-shot defect identification without extensive labeled datasets. By learning aligned representations of images and text, VLMs facilita... read more 

Trust Me, I'm an Expert: Decoding and Steering Authority Bias in Large Language Models

arXiv
Prior research demonstrates that performance of language models on reasoning tasks can be influenced by suggestions, hints and endorsements. However, the influence of endorsement source credibility remains underexplored. We investigate whether langua... read more 

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement

arXiv
Retinal fundus photography is indispensable for ophthalmic screening and diagnosis, yet image quality is often degraded by noise, artifacts, and uneven illumination. Recent GAN- and diffusion-based enhancement methods improve perceptual quality by al... read more 

Diffusion Representations for Fine-Grained Image Classification: A Marine Plankton Case Study

arXiv
Diffusion models have emerged as state-of-the-art generative methods for image synthesis, yet their potential as general-purpose feature encoders remains underexplored. Trained for denoising and generation without labels, they can be interpreted as s... read more 

Using deep learning for predicting cleansing quality of colon capsule endoscopy images

arXiv
In this study, we explore the application of deep learning techniques for predicting cleansing quality in colon capsule endoscopy (CCE) images. Using a dataset of 500 images labeled by 14 clinicians on the Leighton-Rex scale (Poor, Fair, Good, and Ex... read more