Pathology

Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report Data.

BACKGROUND: Growing evidence suggests that disruptions in rest-activity rhythms may serve as relevant markers of posttraumatic stress disorder (PTSD). Despite the emergence of machine learning methods applied to actigraphy and self-report data, few studies have used these approaches to identify individuals with clinically diagnosed PTSD. Prior work has focused on predicting probable PTSD based on ...

Microcomputed tomography analysis of marginal adaptation and internal fit of zirconia frameworks with direct-to-abutment connections using a deep learning artificial intelligence model.

STATEMENT OF PROBLEM: Despite the increased use of direct-to-abutment connections for implant-supported fixed complete dental prostheses (ISFCDPs), limited evidence exists regarding marginal adaptation and internal fit, 2 parameters critical for biomechanical performance. PURPOSE: This study evaluated the marginal adaptation and internal fit of zirconia frameworks with direct-to-abutment connectio...

A deep learning system for non-invasive breast cancer diagnosis with multimodal data.

Early and accurate diagnosis of breast cancer is critical for minimizing needle biopsies and enhancing patient outcomes and requires effective integra...

Rapid slide-level assessment of glomerular yield using virtual staining of unstained renal biopsy sections.

BACKGROUND: Renal biopsy remains the gold standard for the diagnosis of kidney diseases, and specimen adequacy is essential for reliable histopatholog...

From histology to spatial transcriptomics: establishing a lightweight single-patch baseline.

Predicting spatial gene expression from hematoxylin and eosin (H&E)-stained histological images is a central challenge in the field of computational p...

Comparison of the diagnostic accuracy of dentists and ChatGPT in jawbone lesions.

BACKGROUND/OBJECTIVES: Artificial intelligence (AI) is leading to a significant paradigm shift in medical imaging and diagnostic sciences. In particul...

The evolving PI-RADS paradigm.

Prostate MRI is central to the diagnostic pathway for prostate cancer (PCa), reducing unnecessary biopsies, improving the detection of clinically sign...

Multimodal Artificial Intelligence for Early Detection and Precision Management of Inflammatory and Infiltrative Cardiomyopathies.

BACKGROUND: Inflammatory and infiltrative cardiomyopathies, including cardiac sarcoidosis, transthyretin amyloidosis, and autoimmune myocarditis, are ...

The Emergence Clone concept. Optimizing the implant emergence profile using artificial segmentation.

A correct emergence profile is fundamental for achieving a natural result to transition from an implant with a circular neck to a cervical area that r...

Leveraging Machine Learning and Network Biology Approaches to Predict Brain Gene Expression from Blood Transcriptomes.

Blood-based biomarkers offer a promising non-invasive strategy for detecting disease-related changes and monitoring tissue and organ health, including...

BudFinder: A Masked Auto-Encoder vision transformer framework for yeast budding detection and lifespan quantification.

Studying replicative aging in yeast is a central component of aging research. Recent advances in time-lapse microscopy and microfluidics now enable co...

Computer Vision and Deep Learning in Small Animal Cytology and Slide Review.

Computer vision (CV) is an emerging application of artificial intelligence (AI) with growing relevance to veterinary cytology. This review provides a ...

Diverse image generation with diffusion models and cross class label learning for polyp classification.

Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing with colorectal cancer (CRC). Colonic polyps, precurs...

Identification of diagnostic and therapeutic roles of programmed cell death-related proteins in dilated cardiomyopathy: a multi-omics and experimental validation study.

Dilated cardiomyopathy (DCM) is a clinically heterogeneous cardiac disorder characterized by ventricular dilation and systolic dysfunction, with limit...

Automated classification of benign paroxysmal positional vertigo from video-nystagmography using a delay-aware neural network.

Nystagmus is a key indicator of vestibular disorders, including benign paroxysmal positional vertigo (BPPV). Accurate diagnosis of BPPV is essential, ...

Identification of GCNT3 as a glycometabolism-associated biomarker in endometrial cancer.

Endometrial carcinoma (EC) incidence is increasing, with diabetes mellitus (DM) elevating EC risk. This study investigates the glycometabolism-associa...

Accuracy of cephalometric landmark identification on artificial intelligence-based software: a comparative study.

INTRODUCTION: Cephalometry has long been a cornerstone of orthodontic diagnosis and treatment planning. While traditionally performed manually, cephal...

Machine Learning-Based Study on Xin-Pi Simultaneous Treatment Formula via Drug Nanodelivery Systems Regulating Macrophage Polarization and TEAD2/PKM2 Synergistic Repair Strategy in Myocarditis.

BACKGROUND: Myocarditis, as an important cardiovascular disease, involves complex pathogenic mechanisms including immune dysregulation and metabolic d...

Evaluating Retrieval-Augmented Generation for Guideline-Grounded Textual Planning in Implant Dentistry: A Comparative Study.

OBJECTIVES: To evaluate whether a retrieval-augmented generation (RAG) framework can enhance citation precision and improve the clinical reliability o...

DNA methylation biomarkers associated with early gastric cardia carcinogenesis.

Gastric cardia cancer (GCC) is an aggressive malignancy with poor prognosis, underscoring the need for better characterization of molecular alteration...