Pathology

Digital image analysis-based quantification of p53 immunohistochemistry in gastric cancer: a systematic comparison of three-tier cutoff-derivation strategies in tissue microarrays.

BACKGROUND: p53 immunohistochemistry (IHC) is a common surrogate for TP53 alteration, but in gastric...

Enhanced detection of bladder cancer using machine learning analysis of routine urinary sediment data.

OBJECTIVES: Bladder cancer (BC) has a high recurrence rate, requiring invasive procedures such as cy...

The PENIMA project: artificial intelligence decision-support tool for penile lesions - protocol paper and invitation to participate.

OBJECTIVES: To present and describe the design, data collection framework, and interim cohort charac...

Defining the Clinical Indication for Real-Time Artificial Intelligence-Assisted Ultrasound in Breast Lesions with Low Suspicion of Malignancy.

OBJECTIVES: To evaluate whether real-time artificial intelligence (AI) breast ultrasound (US) can id...

Tissue-specific antibacterial and anti-biofilm activities of Penthorum chinense Pursh: integration of metabolomics and Random Forest machine learning.

Penthorum chinense Pursh is a traditional medicinal and edible plant rich in flavonoids and complex ...

Machine learning-based prediction of malignant transformation within 5 years in patients with oral leukoplakia: A retrospective cohort study.

BACKGROUND: Oral leukoplakia (OLK), a potentially malignant oral disorder, has 7.2 - 9.8 % transform...

Accuracy of soft tissue profile predictions using WebCeph and Dolphin software in non-growing skeletal Class II cases treated with upper premolar extractions: A retrospective comparative study.

INTRODUCTION: Aesthetic outcomes are a primary concern for adult orthodontic patients. Clinicians of...

A Mechanistic Learning Framework for Breast Cancer Relapse Prediction.

Breast cancer recurrence is thought to arise, at least in part, from disseminated tumour cells (DTCs...

Comment on "Use of Artificial Intelligence for Duodenal Biopsy for Celiac Disease: Developing a Prediction Model for Histopathology Diagnosis".

Multicenter external validation of a multimodal MRI deep-learning model to predict meningioma bone invasion.

BACKGROUND: Preoperative detection of meningioma bone invasion lacks objective biomarkers and relies...

Phyllodes Tumors of the Breast in 2026: A Contemporary Narrative Review of Diagnosis, Surgical Margins, Prognosis, and Emerging Therapies.

Phyllodes tumors of the breast are rare fibroepithelial neoplasms characterized by significant heter...

Machine Learning in Hand Pathology Diagnosis: A Narrative Review of Current Insights.

Machine learning (ML), a subset of artificial intelligence (AI), is revolutionizing health care. Giv...

Automated Segmentation of Wound Bed Tissue from Clinical Photographs: A Benchmark of Five Deep Learning Architectures Under a Shared Protocol.

Accurate characterisation of the wound bed, the relative proportions of granulation, slough and necr...

Fluorogenic RNA aptamers in cancer: emerging platforms for molecular imaging, biosensing, and precision oncology.

Fluorogenic RNA aptamers have emerged as powerful molecular tools for cancer imaging, biosensing, an...

Toward integrated multimodal artificial intelligence in bone marrow examination: current state and open challenges.

Bone marrow (BM) examinations are intrinsically multimodal: hematopathologists integrate peripheral ...

Improving Postpolypectomy Surveillance Decisions Using an Automated Analysis of Colonoscopy and Histopathology Reports: 2-Center Validation Study.

BACKGROUND: Postpolypectomy surveillance intervals derived from colonoscopy findings and histopathol...

Oral squamous cell carcinoma: A Modern Review of Pathogenesis and Treatment.

Oral cancer (OC), predominantly oral squamous cell carcinoma (OSCC), is a serious global health burd...

A practical AI model for endoscopic diagnosis of gastric premalignant lesions and its application to predicting metachronous recurrence.

BACKGROUND/AIMS: To evaluate the diagnostic performance of an artificial intelligence (AI)-based opt...

The β-cells in type 1 diabetes mellitus: findings from human pancreas studies.

Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease characterized by long-term and dynam...

Interpretable CT-based radiomics nomogram integrating clinical and semantic features for preoperative grading of pancreatic neuroendocrine neoplasms: a shap-based analysis.

Preoperative grading of pancreatic neuroendocrine neoplasms (PNENs) is crucial for personalized mana...

Atrial cardiomyopathy: from knowledge gaps to clinical impact : The role of the EmbRACE Network.

BACKGROUND: Atrial cardiomyopathy (AtCM) is increasingly recognised as an underlying atrial substrat...