Results 211 to 220 of about 1,707,885 (284)

Toward a Synthetic Data Revolution: Diffusion Model‐Enhanced Hepatocellular Carcinoma Prediction in Steatotic Liver Disease

open access: yesHepatology Research, EarlyView.
ABSTRACT Aim Steatotic liver disease (SLD) encompasses a heterogeneous spectrum with varying risks of hepatocellular carcinoma (HCC). Limited sample sizes limit the development of predictive models, particularly for rare outcomes. This study evaluated whether generative artificial intelligence (AI)‐based synthetic data augmentation can enhance HCC risk
Masaya Sato   +12 more
wiley   +1 more source

Histological AI‐Assisted Analysis Outperforms Pathologist Assessment in Predicting Disease Outcomes in PSC Patients

open access: yesHepatology Research, EarlyView.
Analyzing liver histology with AI assistance demonstrates superior prognostic performance compared to manual scoring in PSC. AI‐measured portal inflammation, fibrosis, biliary epithelium, and blood vessels predicted key clinical endpoints, such as liver transplantation due to end‐stage liver disease, highlighting the importance of liver histology as a ...
Anna M. Salonen   +9 more
wiley   +1 more source

New insights from data analysis of 12 global clinical studies on hair shedding

open access: yesInternational Journal of Cosmetic Science, EarlyView.
Analysis of 12 clinical studies conducted across eight countries indicated that the majority of the hair loss (shedding) originates from the root and occurs throughout the hair care procedures (washing, drying and combing). In females, the ‘older’ group experienced more hair fall than the ‘younger’ group.
Yingjie Li   +9 more
wiley   +1 more source

A Composite Histopathologic Invasion Score Predicts Lymph Node Metastasis in Gastric Cancer. [PDF]

open access: yesJ Clin Med
Karcı E   +7 more
europepmc   +1 more source

Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta‐Analysis

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad   +3 more
wiley   +1 more source

Advanced Molecular Analysis in Hemophilia A in a Single Step: Next Generation Sequencing (NGS) and Copy Number Variation (CNV) Analysis

open access: yesInternational Journal of Laboratory Hematology, EarlyView.
ABSTRACT Background Hemophilia A, an X‐linked bleeding disorder caused by pathogenic variants in the F8 gene, requires precise genetic diagnosis for optimal management. Conventional stepwise sequence and copy number variation (CNV) analyses are time‐consuming and may leave some cases unresolved.
Enise Avci Durmusalioglu   +13 more
wiley   +1 more source

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