News | Digital Pathology | July 16, 2019

Paige Announces Clinical-grade Artificial Intelligence in Pathology

Article published in Nature Medicine provides further scientific evidence for deployment of computational decision support systems to improve patient care

Paige Announces Clinical-grade Artificial Intelligence in Pathology

July 16, 2019 — Computational pathology company Paige announced the publication of an article in Nature Medicine describing an artificial intelligence (AI) system for computational pathology that achieves clinical-grade accuracy levels. The paper provides further scientific evidence that pathologists’ work in diagnosing and treating cancer can be complemented and aided through the deployment of computational decision-support systems to improve patient care.

The team of scientists responsible for the work described in the article developed specially-designed deep learning algorithms to build a system that can detect prostate cancer, skin cancer and breast cancer with near-perfect accuracy. These algorithms are based on a vast dataset of nearly 45,000 de-identified, digitized slide images from more than 15,000 cancer patients from 44 countries.

The paper outlines how a series of novel algorithms, created using datasets 10 times larger than those that have been manually curated, performed better and also are more generalizable. The significance of this new development hinges on the fact that curating datasets can be prohibitively expensive and time intensive. By eliminating the need to curate datasets, Paige can now develop many more highly accurate algorithms that can be built into clinical decision support products to help pathologists around the world drive better patient care.

Paige plans to commercialize several of these solutions to address the most pressing needs in pathology to improve patient care. The company has already built on the academic work described in Nature Medicine to develop a clinical product, based on technology currently under review by the U.S. Food and Drug Administration (FDA) as a designated Breakthrough Device, for an intended indication different than the one described in the article.

All data collection, research and analysis for this research was conducted exclusively at Memorial Sloan Kettering (MSK) in New York City. The publication of the study’s findings was the result of collaboration between numerous researchers and clinicians, and made possible by Paige’s partnership with MSK. All data were de-identified and did not contain any protected health information or label text. 

Watch the VIDEO: Integrating Digital Pathology With Radiology

For more information: www.nature.com/nm

Reference

1. Campanella G., Hanna M.G., Geneslaw L., et al. Clinical-grade Computational Pathology using Weakly Supervised Deep Learning on Whole Slide Images. Nature Medicine, July 15, 2019. https://doi.org/10.1038/s41591-019-0508-1

Related Content

This cutting-edge technology assists radiologists in the interpretation of screening mammograms and allows them to diagnose breast cancer earlier and more accurately
News | Mammography | January 12, 2021
January 12, 2021 — Therapixel announced that...
The U.S. Food and Drug Administration released the agency's first Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan. This action plan describes a multi-pronged approach to advance the Agency's oversight of AI/ML-based medical software.
News | Artificial Intelligence | January 12, 2021
January 12, 2021 — The U.S.
Ultromics will offer its artificial intelligence driven EchoGo Pro as a stress-echo module in the EchoGo suite alongside EchoGo Core, its AI solution for automated systolic function and strain analysis. The EchoGo suite is a cloud-based service that uses artificial intelligence to fully automate the pathway to diagnosis, providing near-instant reports for clinicians without any need for physical software on site. #AI #AIhealthcare #AIecho

Ultromics will offer its artificial intelligence driven EchoGo Pro as a stress-echo module in the EchoGo suite alongside EchoGo Core, its AI solution for automated systolic function and strain analysis. The EchoGo suite is a cloud-based service that uses artificial intelligence to fully automate the pathway to diagnosis, providing near-instant reports for clinicians without any need for physical software on site.

News | Artificial Intelligence | January 06, 2021
January 6, 2021 — The U.S.
Volpara Health announced two new research studies using AI-powered software to score breast density objectively and consistently to evaluate its impact in mammography and breast cancer risk assessment.
News | Breast Density | December 30, 2020
December 30, 2020 — Volpara Health announced two new research studies using...
 EvoHealth, a trailblazer in incorporating new technology in healthcare IT software, announced it has exceeded its first milestone of more than 100 customers with over 200 locations.
News | Information Technology | December 22, 2020
December 22, 2020 — EvoHealth, a trailblazer in incorporating n
The key trends oClinicians reviewing a COVID-19 patient's lung CT that reveals the severity of COVID-caused pneumonia. The impact of COVID on radiology was a major, over arching trend at  the 2020 Radiological Society of North America (RSNA) meeting. Getty Imagesbserved at 2020 Radiological Society of North America (RSNA) meeting all focused around COVID-19 (SARS-CoV-2) and the impact it has had on radiology. #RSNA #RSNA20 #RSNA2020

Clinicians reviewing a COVID-19 patient's lung CT that reveals the severity of COVID-caused pneumonia. The impact of COVID on radiology was a major, over arching trend at  the 2020 Radiological Society of North America (RSNA) meeting. Getty Images

Feature | RSNA | December 17, 2020 | By Melinda Taschetta-Millane and Dave Fornell
Published in Nature Communications, ReceptorNet is a breakthrough deep-learning algorithm that can determine hormone-receptor status - a crucial biomarker for clinicians when deciding on the appropriate treatment path for breast cancer treatment
News | Artificial Intelligence | December 14, 2020
December 14, 2020 — Imagine being a doctor and having a precocious resident permanently by your side, giving you bril
Bayer Radiology is announcing Radimetrics v3.0, the newest evolution of its enterprise dose management application.
News | Radiation Dose Management | December 11, 2020
December 11, 2020 — Bayer Radiology is announcing Radimetrics v3.0, the newest evolution of its enterprise dose manag
Mixed Reality Viewer technology turns almost any work area into a virtual, interactive space strengthening 3D visualization, interaction and understanding. (Image courtesy of Brainlab).

Mixed Reality Viewer technology turns almost any work area into a virtual, interactive space strengthening 3D visualization, interaction and understanding. (Image courtesy of Brainlab).

News | Virtual and Augmented Reality | December 09, 2020
December 9, 2020 — the digital medical technology company, announced today that over 120 systems have been sold aroun