Artificial Intelligence Medical Compendium

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

Showing 73,051 to 73,060 of 235,381 articles

Assessing Readability, Understandability, and Actionability of ACPA Educational Resources and Utility of LLMs to Improve Accessibility for Caregivers.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
ObjectiveIt is important for parents and caregivers of children with cleft lip and/or palate to easily understand educational resources provided by the American Cleft Palate-Craniofacial Association (ACPA). This study aimed to assess the readability,... read more 

Comparative analysis of tumor and mesorectum radiomics in predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Neoadjuvant chemoradiotherapy (CRT) is known to increase sphincter preservation rates and decrease the risk of postoperative recurrence in patients with locally advanced rectal tumors. However, the response to CRT in patients with locally ad... read more 

Predicting Cognition and Affective Changes in Newly Diagnosed Parkinson's Disease Through Longitudinal Data-Driven Clustering.

Journal of geriatric psychiatry and neurology
Background: Although primarily characterised as a motor disorder, Parkinson's Disease (PD) also presents with non-motor symptoms, including cognitive decline and affective dysfunction, which are major predictors of quality of life and mortality for i... read more 

QCNN-Swin-UNet: Quantum Convolutional Neural Network Integrated with Optimized Swin-UNet for Efficient Liver Tumor Segmentation and Classification on Edge Devices.

Journal of imaging informatics in medicine
Accurate segmentation and classification of liver tumors are crucial for early diagnosis and effective treatment planning. However, conventional deep learning models such as tumor heterogeneity, class imbalance, and high computational demands face ch... read more 

Computer-Aided Diagnosis Using the Large-Scale Visual Language Models in Screening of Digestive Endoscopy.

Journal of imaging informatics in medicine
China's response to the high prevalence of digestive tract diseases involves conducting large-scale endoscopic screening programs. However, the substantial diagnostic workload generated by these programs highlights a low staff-to-patient ratio. To ad... read more 

Graph Neural Networks for Realistic Bleeding Prediction in Surgical Simulators.

Journal of imaging informatics in medicine
This study presents a novel approach using graph neural networks to predict the risk of internal bleeding using vessel maps derived from patient CT and MRI scans, aimed at enhancing the realism of surgical simulators for emergency scenarios such as t... read more 

Real-time Use of Computer-aided Diagnosis in the Optical Diagnosis of Gastric Neoplasia: A Multicenter Randomized Controlled Trial.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
BACKGROUND & AIMS: The multicenter, randomized, control trial was conducted to evaluate whether computer-aided diagnosis (CADx) improves the optical diagnosis of gastric neoplasia in nonexpert endoscopists. METHODS: Patients undergoing endoscopy prio... read more 

Microbiome-metabolome generated bile acids gatekeep infliximab efficacy in Crohn's disease by licensing M1 suppression and Treg dominance.

Journal of advanced research
INTRODUCTION: Despite the effectiveness of infliximab in treating Crohn's disease (CD), up to 40 % of patients fail to respond adequately. OBJECTIVES: This study aimed to identify predictive biomarkers of primary non-response to infliximab in treatme... read more 

A stochastic neural network for the numerical solutions of the nonlinear fractional order Zika virus model using reservoirs and human motion.

Computational biology and chemistry
The current research investigations present the solutions of the fractional order Zika virus model using reservoirs and human motion, which has ten different classes. The fractional order Caputo derivative is used to get more precise solutions of the... read more 

Detecting Artificial Intelligence-Generated Text in Personal Statements of Adult Reconstruction Fellowship Applicants.

The Journal of arthroplasty
BACKGROUND: Artificial intelligence (AI), particularly large language models such as Chat Generative Pre-Trained Transformer (ChatGPT), has expanded across various fields, including medical education and professional applications. However, the extent... read more