An artificial intelligence (AI)-based model accurately classified pediatric sarcomas using digital pathology images alone, according to results presented at the American Association for Cancer ...

The integration of AI into digital pathology through general-purpose foundation models promises to significantly enhance various tasks, such as cancer detection and subtyping. However, these powerful ...

Akash Parvatikar works at the intersection of AI and cancer diagnosis, in a field that is reshaping how diseases are detected, studied and treated. Based in New York, Akash leads R&D of large-scale ...

Tissue staining is a cornerstone of medical diagnostics, used to highlight cellular structures and render tissue features visible under an optical microscope—critical for identifying diseases such as ...

Mayo Clinic researchers and collaborators have shown that artificial intelligence (AI) can analyze routine pathology slides to help classify meningiomas, the most common primary brain tumor in adults, ...

A new article in Veterinary Pathology introduces a 9-point checklist designed to improve the reporting quality of studies that use artificial intelligence (AI)-based automated image analysis (AIA). As ...

Noetik’s TARIO-2 platform analyzed routine pretreatment H&E images from 113 BOT+BAL-treated patients and identified spatial tumor microenvironment patterns associated with response and survival In a ...

A new study reveals that pathology AI models for cancer diagnosis perform unequally across demographic groups. The researchers identified three explanations for the bias and developed a tool that ...

The FDA has cleared ArteraAI Breast, the first digital pathology-based risk stratification tool for breast cancer. The AI software analyzes tumor tissue images and clinical data to categorize ...

Charles River Laboratories International, Inc. (NYSE: CRL) today announced continued momentum in its digital pathology platform, delivering an end-to-end, AI-enabled workflow that significantly ...