Artificial Intelligence Medical Compendium

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

Showing 23,591 to 23,600 of 217,176 articles

Comparative Clinical Evaluation of "Memory-Efficient" Synthetic 3D Generative Adversarial Networks (GAN) Head-to-Head to State of Art: Results on Computed Tomography of the Chest.

Journal of imaging informatics in medicine
Generative adversarial networks (GANs) are increasingly used to generate synthetic medical images, addressing the critical shortage of annotated data for training artificial intelligence (AI) systems. This study introduces conditional random field (C... read more 

Recent Advances in Generative AI for Healthcare Applications.

Journal of imaging informatics in medicine
Artificial intelligence (AI) has catalyzed revolutionary changes across various sectors, notably in healthcare. In particular, generative AI-led by diffusion models and transformer architectures-has enabled significant breakthroughs in medical imagin... read more 

Personalized assessment of hyperuricemia probability in metabolic dysfunction-associated steatotic liver disease: construction and multicenter validation of a clinical nomogram.

BMC gastroenterology
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is increasingly recognized as a precursor to secondary hyperuricemia, significantly exacerbating metabolic burden. However, reliable tools for early risk stratification in MASLD pat... read more 

A machine learning framework combining cfDNA fragmentomics and serum biomarkers for early ovarian cancer detection.

Cell communication and signaling : CCS
BACKGROUND: Ovarian cancer (OC) is a leading cause of cancer-related mortality in women, largely due to the lack of effective strategies for early detection. Here, we aimed to develop a liquid biopsy assay integrating cell-free DNA (cfDNA) fragmentom... read more 

Cognitive Reserve in rural and urban populations: Insights from two aging cohorts in southern India.

Alzheimer's research & therapy
BACKGROUND: There are no Indian studies estimating Cognitive Reserve (CR) across rural and urban aging populations. METHODS: We estimated CR from two ongoing aging studies in rural (CBR-SANSCOG, n = 4459) and urban (CBR-TLSA, n = 663) southern India.... read more 

Two-staged CT-based radiomics model in characterising early-stage ovarian carcinoma and benign ovarian masses.

Journal of ovarian research
BACKGROUND: Characterisation of CT detected ovarian masses is challenging with overlapping imaging features, unreliable biomarker or clinical presentation. We proposed a two-staged CT-based radiomics model to identify early-stage ovarian carcinoma (E... read more 

SIRT1 Downregulation by Advanced Glycation End Products Activates RANKL-Dependent Osteoclast Signaling and Drives Chondrocyte Senescence During Osteoarthritis Development.

Aging cell
Advanced glycation end products (AGEs) accumulate with aging and metabolic stress and are increasingly implicated in osteoarthritis (OA) pathology. However, how AGEs regulate osteoclast-chondrocyte signaling remains poorly defined. Here, we integrate... read more 

Psychological resilience as a selective perceptual amplifier in post-crisis learning: a dual-pathway model of academic motivation, perceived school support, and cognitive engagement - a multi-country study based on PISA 2022.

BMC psychology
BACKGROUND: The global educational crisis triggered by the COVID-19 pandemic has posed persistent challenges to students' deep learning. Understanding the mechanisms through which academic motivation (AM) and perceived school support (PSS) translate ... read more 

Artificial Intelligence-Based Identification of Common Canine Skin Lesions From Clinical Images.

Veterinary dermatology
BACKGROUND: Accurate evaluation of skin lesions is an essential component of dermatological examination, yet it can be time-consuming and subject to interobserver variability. While artificial intelligence (AI) models have shown reliability in diagno... read more 

AI-Driven Hemodynamic Detection of Self-Induced Daydreaming With EMG-Based Physiological Triggers During Pre- and Post-Prandial States Using fNIRS and EGG.

CNS neuroscience & therapeutics
BACKGROUND: Daydreaming can be monitored either to avoid it while doing hands-on tasks or to enhance it to foster creativity. Although significant research has been conducted in Brain recordings and Machine learning, some problems have not received s... read more