Latest AI and machine learning research in pathology for healthcare professionals.
IMPORTANCE: Basal cell carcinoma (BCC) is the most common type of skin cancer worldwide. Particularly on the face, its locally destructive growth leads to functional and aesthetic impairment. Early diagnosis enables less invasive treatment. Line-field confocal optical coherence tomography (LC-OCT) is an effective noninvasive imaging method for the diagnosis of BCC. OBJECTIVES: To investigate wheth...
Endometrial organoids are a powerful, 3D in vitro system for studying reproductive function and disease since they are more physiologically representative than 2D cell models. However, optimal methods for the analysis of individual organoids are still developing and remain inconsistent throughout the field. To independently evaluate and optimize high-throughput analysis tools for human and mouse e...
Computational pathology leverages deep learning to extract clinically relevant information from digitized tumor slides, predicting histopathological s...
OBJECTIVES: To disentangle the molecular heterogeneity of knee osteoarthritis (OA) through the classification and characterization of transcriptomic c...
Diabetic encephalopathy (DE) is a serious complication of diabetes mellitus characterized by progressive cognitive dysfunction; but its underlying mec...
OBJECTIVES: Multidisciplinary team (MDT) meetings are key to delivering cancer care. Increasing caseload and limited resources make them less effectiv...
The retinal ganglion cell layer integrates and transmits stimuli from photoreceptors to the central nervous system. Retinal ganglion cell loss is a ha...
BACKGROUND: Convolutional neural network (CNN)-based artificial intelligence systems have demonstrated promise in detecting Helicobacter pylori (Hp) i...
PURPOSE OF REVIEW: Amoebiasis is a parasitic infection caused by Entamoeba histolytica, affecting 10% of the global population. It is a well recognize...
PURPOSE: Body composition parameters offer objective, imaging-derived prognostic biomarkers, valuable in the context of oncological diseases. This stu...
PURPOSE: Alterations in collagen micro-architecture are hallmarks of tumor progression. Conventional polarization second-harmonic generation (pSHG) an...
BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a highly heterogeneous inflammatory disease with distinct inflammatory endotypes. This ...
BACKGROUND: Patients increasingly use generative AI to interpret symptoms and seek health information, yet limited evidence shows how AI-assisted self...
An unsupervised, single-class anomaly detection approach based on a vision transformer architecture was developed to aid histopathology evaluation of ...
Primary malignant bone tumours of the skeleton have a great diversity in their biological behaviour, and the most common in adolescence is osteosarcom...
OBJECTIVES: Accurate pre-biopsy or preoperative diagnosis and risk stratification of prostate cancer remain challenging. This study aimed to develop a...
INTRODUCTION: Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) present a remarkable public health challenge worldw...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication, yet its molecular mechanisms remain incompletely understood. This ...
OBJECTIVES: To systematically identify, appraise and synthesise artificial intelligence (AI) and machine-learning (ML) models that predict treatment r...
Advances in image registration and machine learning have recently enabled volumetric analysis of postmortem brain tissue from conventional photographs...