Pathology

Machine Learning-Assisted High-Temperature Nonequilibrium Kinetics of Air Components: From Microscale to Macroscale.

The growing demand for reproducing state-to-state (StS) level accuracy in modeling the nonequilibrium kinetics of air components at temperatures above 5000 K has spurred the use of microscopic state-specific data to revise macroscopic thermochemical models. However, the computational cost of obtaining comprehensive state-specific kinetic data remains prohibitively high. Machine learning has emerge...

MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network.

Skin cancer has become a global public health issue. Dermoscopy is a routine diagnostic method; however, to improve accuracy, it is often combined with skin punch biopsy and stained histological slides for microscopic observation. The manual segmentation of the lesion area by doctors involves issues such as high subjectivity and time consumption. Deep learning techniques have become a mainstream s...

Identification of biomarkers for non-invasive diagnosis and risk stratification in prostate cancer using NMR-based metabolomics and machine learning.

The non-invasive diagnosis and risk stratification of prostate cancer (PCa) remain clinically challenging due to the limited specificity of prostate-s...

Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer.

BACKGROUND: Cribriform morphology in prostate cancer is a histological feature that indicates poor prognosis and contraindicates active surveillance. ...

Interpretative diagnostic model for neuroblastoma metastases using bone marrow cytology.

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART I.

Thyroid nodules are common incidental findings, but only a small proportion of cases are malignant (4-6.5%) or symptomatic. Numerous follow-up examina...

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART II.

Thyroid nodules are common incidental findings but only a small proportion of cases are malignant (4-6.5%) or symptomatic. Numerous follow-up examinat...

Utilizing Deep Learning-based Computed Tomography Fractional Flow Reserve on Coronary Artery Disease Diagnosis and Treatment: 1-year Clinical Application From a Chinese Major Hospital.

PURPOSE: Machine learning-based coronary computed tomography fractional flow reserve (CT-FFR) holds great potential for assessing coronary ischemic st...

State-of-the-art of surface-enhanced Raman spectroscopy for pathogenic bacterial identification.

Rapid and accurate identification of pathogenic bacteria is essential for safeguarding public health. However, existing approaches, including conventi...

SDS-CRISPR for Single-Nucleotide Variant Detection.

The CRISPR-Cas12a system offers a promising platform for simple and sensitive nucleic acid diagnostics, including tumor-associated variant detection a...

Publicly available multimodal large language models for ocular surface infections: benchmarking against corneal specialists in triage, diagnosis and treatment.

BACKGROUND/AIMS: Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow or insensitive microbiolo...

Significance of tumor infiltrating granulocytes and neutrophil extracellular traps in colorectal cancer.

BACKGROUND: Neutrophils are the most abundant granulocytes in the tumor microenvironment and exert both pro- and anti-cancer effects. Activated neutro...

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lung cancer. Its considerable tumor heterogeneity and...

ChatGPT and patient education in benign paroxysmal positional vertigo, in French and in English.

OBJECTIVE: ChatGPT has gained popularity for its user-friendly applications in medicine, including otolaryngology. However, concerns have surfaced abo...

Whole-transcriptome sequencing and machine learning detect molecular signatures of endometrial cancer in non-invasive vaginal swabs.

OBJECTIVE: Current tissue-based methods for ruling out endometrial cancer in symptomatic women are highly invasive. We explored whether non-invasive v...

Artificial intelligence-based detection of acute postoperative airway complications following anterior cervical spine surgery: a retrospective imaging evaluation.

STUDY DESIGN: Retrospective imaging evaluation using an artificial intelligence (AI)-generated model. PURPOSE: To develop novel AI software for early ...

Development, validation, and visualization of a novel nomogram for predicting clinical outcomes of postoperative cervical cancer patients.

To develop a context-aware multi-instance learning (TransMIL) model based on whole-slide pathological images and integrate it with clinical parameters...

Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS.

BACKGROUND: As the second deadly cancer affecting women globally, precise and timely classification of ovarian tumors plays an instrumental role in im...

Integration of multi-omics and machine learning to identify core genes in PANoptosisof lung adenocarcinoma and their mechanisms in the tumor microenvironment and therapeutic potential.

Lung adenocarcinoma (LUAD) is one of the leading causes of cancer-related deaths worldwide, and its complex tumor microenvironment (TME) is a key barr...

Deep Learning-Based Image Analysis Model for Classification and Quantification of Multiple Histopathological Findings in Rat Testis and Epididymis.

Supervised deep learning-based image analysis models using whole slide images (WSIs) have been reported to be effective for detecting simple histopath...