A simple light-based method is uncovering hidden fiber networks inside the brain and body, even in tissue slides over 100 years old.
New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.
A digital pathology collaboration between Microsoft, the University of Washington and Providence health network aims to overcome a few of the obstacles to fully implementing artificial intelligence in ...
NYU Langone Health has launched a digital pathology program, transforming disease diagnosis from microscopes to high-definition images, shareable in real time across the hospital network. This change ...
This article describes a new method (VS-FPM) for analysis of unstained tissues based on the application of supervised machine learning to generate brightfield hematoxylin and eosin (H&E) images from ...
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Doctors Catch Cancer-Diagnosing AI Extracting Patients’ Race Data and Being Racist With It
A new study reveals an alarming bias present in four leading AI cancer screening tools, related to race, gender, and age.
Study: Multimodal AI generates virtual population for tumor microenvironment modeling A recent study published in the journal Cell explored the capabilities of GigaTIME, a multimodal AI framework ...
Given that the ChatGPT-4V is unable to directly read entire whole slide images (WSIs), a pathologist (N.T.) with 11 years of clinical expertise in urologic pathology selected representative fields of ...
Reviving the tradition of unveiling game-changing announcements at the J.P. Morgan Healthcare Conference, Nvidia made a major announcement to kick off the 2025 conference, a significant departure from ...
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