Pathologists are challenged to provide accurate and timely cancer diagnosis as the number of tests increases year-over-year.
Ibex uses artificial intelligence to develop clinical-grade solutions that extend beyond cancer detection and support pathologists with all clinically significant features, including cancer proportion and perineural invasion, helping them meet reporting needs.
In this webinar recording, Dr. Pantanowitz presents the results of a blinded clinical validation study of Ibex’s AI algorithm, performed on an external dataset of prostate biopsies analyzed by independent pathologists at the University of Pittsburgh Medical Center.
Ibex Medical Analytics uses artificial intelligence to scan tissue biopsies and make sure human eyes haven’t missed anything crucial. Read all about it in an interview our CEO, Joseph Mossel, gave Israel21c.
Read the interview our CEO, Joseph Mossel, gave to AiThority, where he tells the Ibex story and discusses how AI systems are expected to be more widely adopted and have a more active role in diagnostic processes in coming years.
Watch Liron Pantanowitz, MD, of the University of Pittsburgh Medical Center (UPMC), discuss the benefits of implementing artificial intelligence in pathology and his experience from a validation study on an AI-based algorithm for analyzing prostate biopsies.
When it comes to your health, nothing matters more than an accurate diagnosis. Listen to Joseph Mossel, our CEO, discusses the role artificial intelligence plays in pathology labs, and what this means for the future of healthcare.
Performance of an AI-based cancer diagnosis system in France’s largest network of pathology institutes
We are happy to share our poster, co-presented with MediPath, France’s largest network of pathology labs, at ECP 2019, Nice, France.
Joseph Mossel discusses how Ibex Medical Analytics is already making a difference in making cancer diagnosis faster, more efficient and more accurate, and what we believe the future holds.
We are proud and humbled! Our poster, “An AI-based Quality Control System in a Clinical Workflow Setting,” won in the Clinical category at Pathology Visions 2018!