Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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A systematic review and meta-analysis of artificial intelligence software for tuberculosis diagnosis using chest X-ray imaging.

BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million...

Multiple Instance Learning for the Detection of Lymph Node and Omental Metastases in Carcinoma of the Ovaries, Fallopian Tubes and Peritoneum.

: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...

Artificial intelligence in breast pathology: Overview and recent updates.

Breast cancer remains a major global health concern where timely and accurate pathologic diagnosis i...

Improving Breast Cancer Diagnosis in Ultrasound Images Using Deep Learning with Feature Fusion and Attention Mechanism.

RATIONALE AND OBJECTIVES: Early detection of malignant lesions in ultrasound images is crucial for e...

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

PathoGraph: A Graph-Based Method for Standardized Representation of Pathology Knowledge.

Pathology data, primarily consisting of slides and diagnostic reports, inherently contain knowledge ...

Rapid diagnosis of TERT promoter mutation using Terahertz absorption spectroscopy in glioblastoma.

Glioblastoma (GBM) is a highly aggressive brain tumor with poor outcomes and limited treatment optio...

China Protocol for early screening, precise diagnosis, and individualized treatment of lung cancer.

Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the ...

Vessel-Like Microtunnels with Biomimetic Octopus Tentacles for Seizing and Detecting Exosomes to Diagnose Pancreatic Cancer.

Microchip-based exosome analysis has emerged as a promising approach for liquid biopsy in cancer dia...

Tilorone attenuates high-fat diet-induced hepatic steatosis by enhancing BMP9-Smad1/5/8 signaling.

The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly increa...

Generating dermatopathology reports from gigapixel whole slide images with HistoGPT.

Histopathology is the reference standard for diagnosing the presence and nature of many diseases, in...

Applications of visualization technology in the structural sciences.

The structural sciences are undergoing a transformation driven by advancements in visualization tech...

Subregion-based radiomics analysis for predicting the histological grade of clear cell renal cell carcinoma.

PURPOSE: We explored the feasibility of constructing machine learning (ML) models based on subregion...

A noninvasive method for determining elastic parameters of valve tissue using physics-informed neural networks.

Computer simulation of "virtual interventions" may inform optimal valve repair for a given patient p...

A dataset for quality evaluation of pelvic X-ray and diagnosis of developmental dysplasia of the hip.

Developmental Dysplasia of the Hip (DDH) stands as one of the preeminent hip disorders prevalent in ...

A pediatric ECG database with disease diagnosis covering 11643 children.

Electrocardiogram (ECG) is a common non-invasive diagnostic tool for cardiovascular diseases. Adequa...

Does Machine Learning Prediction of Magnetic Resonance Imaging PI-RADS Correlate with Target Prostate Biopsy Results?

OBJECTIVES: This study aimed to predict and classify MRI PI-RADs scores using different machine lear...

An Integrated AI-PBPK Platform for Predicting Drug In Vivo Fate and Tissue Distribution in Human and Inter-Species Extrapolation.

Optimal pharmacokinetic (PK) profile, including tissue distribution, is pivotal for a drug achieving...

Segmentation of the Left Ventricle and Its Pathologies for Acute Myocardial Infarction After Reperfusion in LGE-CMR Images.

Due to the association with higher incidence of left ventricular dysfunction and complications, segm...

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction.

OBJECTIVE: In this paper we develop and evaluate ECG-SMART-NET for occlusion myocardial infarction (...

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