Artificial Intelligence Medical Compendium

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

Showing 71,521 to 71,530 of 234,892 articles

Personalized dermatologic communication with large language models on high-stakes personas.

Journal of the European Academy of Dermatology and Venereology : JEADV
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Virtual screening and experimental validation of small-molecule compounds targeting AR in prostate cancer.

Molecular diversity
Prostate cancer ranks as the second most prevalent malignancy among men, with its progression predominantly driven by androgen receptor (AR) signaling. Despite the centrality of androgen deprivation therapy (ADT) in managing advanced prostate cancer,... read more 

GPT-4o in Nutrition for Inpatients Undergoing Post-Stroke Rehabilitation: Identifying Dietary Errors, Exploring Expert-AI Rationale Differences, and Structuring AI-Expert Collaboration.

Journal of the American Nutrition Association
OBJECTIVE: Inpatients undergoing stroke rehabilitation experience high malnutrition rates, requiring strict dietary management. However, manual and time-pressured dietary provision can cause errors in diet composition, highlighting the need for innov... read more 

Clinical evaluation of deep learning-based CT-free PET reconstruction image: a dual-center study.

European journal of nuclear medicine and molecular imaging
PURPOSE: Efforts to reduce the radiation burden of PET/CT have driven the increasing development of AI-based CT-less PET imaging techniques. However, comprehensive clinical evaluations of these approaches remain limited. This study aimed to rigorousl... read more 

Predicting risk of falling in older adults using supervised machine learning: a comparative analysis of model performance.

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: Falls in older adults pose a significant health risk and reliable predictive models for assessing the risk of falling would be highly beneficial and clinically relevant. This study evaluates the performance of various supervised machine l... read more 

Prostate cancer and benign prostatic hyperplasia lesions segmentation using diffusion kurtosis imaging, T2*, and R2* mapping with U-Net++ algorithm.

Radiological physics and technology
This study aimed to propose a deep learning-based segmentation framework to delineate prostate lesions across multiple MRI acquisitions and derived parametric maps, including apparent diffusion coefficient (ADC) map, diffusion kurtosis imaging (DKI)-... read more 

Machine Learning-Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy.

International forum of allergy & rhinology
BACKGROUND: Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter-operator variability in landmark identification and localization of mucus that is necessary for si... read more 

CT-FFR: How a new technology could transform cardiovascular diagnostic imaging.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
CT-based fractional flow reserve (CT-FFR) is a promising noninvasive method for the functional assessment of coronary stenosis. It expands the diagnostic capabilities of coronary CT angiography (cCTA) by providing hemodynamic information and potentia... read more 

Evaluating the Clinical Competence of Large Language Models in Prostate Cancer Management: A Comparative Study of DeepSeek-R1 and ChatGPT.

Annals of surgical oncology
BACKGROUND: Large language models (LLMs) have gained prominence in medical applications, yet their performance in specialized clinical tasks remains underexplored. Prostate cancer, a complex malignancy requiring guideline-based management, presents a... read more