Our CEO and co-founder Joseph Mossel shares his story with Dr. James Somauroo on The Health-Tech Podcast: Making an impact as an entrepreneur in the MedTech space, with a specific focus in artificial intelligence and pathology.
This webinar describes how AI has driven full scale digitization of pathology at Maccabi Healthcare Services
Ibex’s AI-powered cancer diagnostics technology helps pathologists detect and grade cancer in biopsies. Ibex’s Galen Prostate and Galen Breast are the first AI-powered cancer diagnostics solutions in routine clinical use in pathology.
The Lancet Digital Health, a top-tier peer-reviewed journal, published a commentary piece on a study Ibex conducted at the University of Pittsburgh Medical Center (UPMC). In this study Ibex’s AI-based solution demonstrated outstanding outcomes.
AI algorithm for detecting prostate cancer shows more than 98% sensitivity, 97% specificity in study
Tel Aviv-based Ibex Medical Analytics published data on what it calls the first algorithm to go beyond detection and into areas like tumor grading and sizing – detecting prostate cancer demonstrating more than 98% sensitivity, 97% specificity
Verdict Medical Devices speaks to Ibex CEO Joseph Mossel to find out more about how the Ibex platform works and what it could mean for the future of cancer diagnosis.
The Lancet Digital Health, a top-tier peer-reviewed journal, published a study Ibex conducted at the University of Pittsburgh Medical Center (UPMC). Ibex’s AI-based solution demonstrated outstanding outcomes, among which the highest reported accuracy level for cancer detection in the field. In addition, the publication is the first to report on the performance of an AI solution used by pathologists in routine clinical practice.
This webinar presents the results of two studies – a clinical utility study and a multi site, blinded clinical validation study – of Ibex’s AI algorithm, performed on external datasets of prostate biopsies scanned with a Philips digital pathology slide scanner and analyzed by independent pathologists in the United States, France and Israel.
Watch Mahul Amin, MD, Chair of the Department of Pathology at The University of Tennessee Health Science Center, discuss the clinical utility of artificial intelligence (AI) and digital pathology for cancer diagnosis and how AI can become the perfect companion for pathologists.
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!