As artificial intelligence and machine learning are adopted across the industry, radiologists and pathologists are blasting the same alarm as countless others by asking whether AI-powered diagnostics ...

Pathology laboratories are big data environments. However, these big data are often hidden behind expert humans who manually and with great care visually parse large complex and detailed datasets to ...

VANCOUVER, British Columbia--(BUSINESS WIRE)--By 2030, nearly 22 million new cancer cases are expected, and the burden on the healthcare system to quickly and accurately analyze the tissue samples to ...

The results of research by a University of Warwick-led team warn that popular deep learning systems trained for cancer pathology may be falling short on predictive accuracy because they are missing ...

BURLINGAME, Calif.--(BUSINESS WIRE)-- NantHealth, Inc. (NASDAQ: NH), a next-generation, evidence-based, personalized healthcare company and NantOmics, LLC, the leader in molecular analysis, today ...

It is a renaissance for companies that sell GPU-dense systems and low-power clusters that are right for handling AI inference workloads, especially as they look to the healthcare market–one that for a ...

New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals. Artificial intelligence tools are ...

Rare diseases are often difficult to diagnose and predicting the best course of treatment can be challenging for clinicians. Investigators from the Mahmood Lab at Brigham and Women's Hospital, a ...

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Tumor stage and grade, visually assessed by pathologists from evaluation of pathology images in conjunction ...

An initial report of the AI technology was presented at the Sixth American Association for Cancer Research (AACR) and the International Association for the Study of Lung Cancer (IASLC) International ...