Experimental biology and medicine (Maywood, N.J.)
Feb 28, 2025
Topic modeling is a crucial technique in natural language processing (NLP), enabling the extraction of latent themes from large text corpora. Traditional topic modeling, such as Latent Dirichlet Allocation (LDA), faces limitations in capturing the se...
The key roles of Major Histocompatibility Complex (MHC) Class I and II molecules in the immune system are well established. This study aims to develop a novel machine learning framework for predicting antigen peptide presentation by MHC Class I and I...
UNLABELLED: is a comparative analysis of algorithms for segmentation of three-dimensional OCT images of human skin using neural networks based on U-Net architecture when training the model on two-dimensional and three-dimensional data.
In a radiation oncology clinic, machine downtime can be a serious burden to the entire department. This study investigates using increasingly popular generative artificial intelligence (AI) techniques to assist medical physicists in troubleshooting l...
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Feb 27, 2025
The rising global burden of cancer drives increased demands for medical imaging, which is essential throughout cancer care. However, delivering medical imaging presents significant environmental challenges including high energy use, reliance on singl...
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Feb 27, 2025
Large language models (LLMs) have the potential to support clinical decision-making but often lack training on the latest clinical guidelines. Retrieval-augmented generation (RAG) may enhance guideline adherence by dynamically integrating external i...
BACKGROUND: Erectile dysfunction (ED) is a condition commonly classified as either psychogenic or organic. Traditional age-based categorizations are considered overly simplistic, yet many clinicians continue to rely on initial evaluation-patient symp...
The Journal of investigative dermatology
Feb 27, 2025
Artificial intelligence (AI) could enable early diagnosis of skin cancer; however, how AI should be implemented in clinical practice is debated. This narrative literature review (16 studies; 2012-2024) explored patient perceptions of AI in skin cance...
PURPOSE: The clinical value of quantitative MRI hinges on its measurement repeatability. Deep learning methods to reconstruct undersampled quantitative MRI can accelerate reconstruction but do not aim to promote quantitative repeatability. This study...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.