AIMC Topic: Biopsy

Clear Filters Showing 1 to 10 of 466 articles

Morphological alterations of peridroplet mitochondria in human liver biopsy.

Scientific reports
Mitochondrial dysfunction and the accumulation of lipid droplets (LD) contribute to the pathogenesis of liver diseases. Mitochondria bound to LD, termed peridroplet mitochondria (PDM), form a subpopulation with distinct functions compared to cytoplas...

Label-free robotic mitochondrial biopsy.

Science advances
Robotic micromanipulation has advanced cellular probing, yet achieving precise, minimally invasive intracellular operations without fluorescent labeling remains challenging. Fluorescent techniques often cause photodamage and cytotoxicity and interfer...

A robust artificial intelligence system for predicting EBV status in gastric cancer biopsy and resection specimens.

Scientific reports
Epstein-Barr virus (EBV) associated gastric cancer, accounting for ~ 9% of all gastric cancers, has unique pathologic, genomic, and clinical features and is linked to a better prognosis. Therefore, we aim to develop and validate a robust deep learnin...

Deep learning-aided optical biopsy achieves whole-chain diagnosis of Correa cascade of gastric cancer: a prospective study.

BMC medicine
BACKGROUND: Biopsies are essential in differentiating benign from malignant lesions in routine gastroscopy. Nevertheless, redundant biopsies increase patients' expenses and pathologists' workload. Probe-based confocal laser endomicroscopy (pCLE) enab...

Large Language Models' Clinical Decision-Making on When to Perform a Kidney Biopsy: Comparative Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) and large language models (LLMs) are increasing in sophistication and are being integrated into many disciplines. The potential for LLMs to augment clinical decision-making is an evolving area of research.

Label-free diagnostic procedure for hirschsprung's disease to detect intestinal mucosal characteristics of aganglionosis by Raman spectroscopy with optimized decision algorithms.

Lasers in medical science
PURPOSE: Hirschsprung's disease (HSCR) is an intestinal disorder characterized by the absence of nerve cells in parts of the intestinal tract. The definitive diagnosis is confirmed by a full-thickness rectal biopsy to verify the absence of ganglion c...

Artificial intelligence for biopsies and imaging modalities in systemic autoimmune rheumatic diseases: An instructive narrative review.

Autoimmunity reviews
PURPOSE: To organize the existing literature regarding applications of artificial intelligence (AI) in biopsies and imaging modalities of patients with systemic autoimmune rheumatic diseases (SARDs) and to familiarize readers with the most commonly o...

Deep learning model for predicting extraprostatic extension of prostate cancer based on H&E-stained biopsy digital images.

Annals of medicine
BACKGROUND: To develop and validate a deep learning pipeline using prostate biopsy H&E slides to predict extraprostatic extension (EPE) in prostate cancer (PCa) patients.

Discovery of tumour indicating morphological changes in benign prostate biopsies through AI.

Scientific reports
Diagnostic needle biopsies that miss clinically significant prostate cancer (PCa) often sample benign tissue near hidden cancers. Such benign samples might still display subtle morphological signs of cancer elsewhere in the prostate. This study exami...

Serological proteomic characterization for monitoring liver fibrosis regression in chronic hepatitis B patients on treatment.

Nature communications
Longitudinal serological proteomic dynamics during antiviral therapy (AVT) in chronic hepatitis B (CHB) patients with liver fibrosis remain poorly characterized. Here, using four-dimensional data-independent acquisition mass spectrometry (4D-DIA-MS),...