AI-Based Cancer Diagnosis System Eliminates Errors
By LabMedica International staff writers Posted on 25 Apr 2018 |
Image: The Second Read (SR) system is designed to identify various cell types and features within whole slide images (Photo courtesy of Ibex Medical Analytics).
The first-ever artificial intelligence (AI)-based digital pathology diagnostic system has been deployed in a live clinical setting, following a pilot period, in which the system identified isolated major errors in retrospective prostate core needle biopsies (PCNBs) that had been diagnosed as benign.
The Second Read (SR) system, developed by Ibex Medical Analytics (Tel Aviv, Israel), a developer of AI-powered cancer diagnostics, has been deployed at the pathology institute of Maccabi Healthcare Services, which is among the largest healthcare providers in Israel and is also the company’s strategic partner. The lab is a centralized pathology institute that handles 160,000 histology accessions per year, out of which approximately 700 are PCNBs.
Ibex develops AI-driven clinical decision support tools that help pathologists deliver more efficient, metric-driven, objective and accurate diagnosis. The company combines AI, data science, image analysis and machine learning technologies and applies them to cancer diagnostics in digital pathology. The SR system is software that identifies various cell types and features within whole slide images of PCNBs, including grading of cancerous glands and other clinically significant features. Ibex's algorithm utilizes state-of-the-art AI and machine learning techniques, and has been trained on thousands of image samples taken from hundreds of PCNBs from multiple institutes.
"We are excited to be the first company to ever deploy an AI-based system in a clinically-active pathology lab, leveraging the enormous potential of AI to make a real impact on human lives. We are now putting our full focus on making this system commercially available," stated Joseph Mossel, CEO and Co-founder of Ibex Medical Analytics.
"The complexity of prostate cancer diagnosis, together with the considerable shortage of pathologists, makes a second read system like this extremely useful for diagnostic accuracy and safety," said Dr. Judith Sandbank, Head of the Maccabi pathology institute and Chief Medical Officer at Ibex Medical Analytics.
Related Links:
Ibex Medical Analytics
The Second Read (SR) system, developed by Ibex Medical Analytics (Tel Aviv, Israel), a developer of AI-powered cancer diagnostics, has been deployed at the pathology institute of Maccabi Healthcare Services, which is among the largest healthcare providers in Israel and is also the company’s strategic partner. The lab is a centralized pathology institute that handles 160,000 histology accessions per year, out of which approximately 700 are PCNBs.
Ibex develops AI-driven clinical decision support tools that help pathologists deliver more efficient, metric-driven, objective and accurate diagnosis. The company combines AI, data science, image analysis and machine learning technologies and applies them to cancer diagnostics in digital pathology. The SR system is software that identifies various cell types and features within whole slide images of PCNBs, including grading of cancerous glands and other clinically significant features. Ibex's algorithm utilizes state-of-the-art AI and machine learning techniques, and has been trained on thousands of image samples taken from hundreds of PCNBs from multiple institutes.
"We are excited to be the first company to ever deploy an AI-based system in a clinically-active pathology lab, leveraging the enormous potential of AI to make a real impact on human lives. We are now putting our full focus on making this system commercially available," stated Joseph Mossel, CEO and Co-founder of Ibex Medical Analytics.
"The complexity of prostate cancer diagnosis, together with the considerable shortage of pathologists, makes a second read system like this extremely useful for diagnostic accuracy and safety," said Dr. Judith Sandbank, Head of the Maccabi pathology institute and Chief Medical Officer at Ibex Medical Analytics.
Related Links:
Ibex Medical Analytics
Latest Industry News
- ECCMID Congress Name Changes to ESCMID Global
- Bosch and Randox Partner to Make Strategic Investment in Vivalytic Analysis Platform
- Siemens to Close Fast Track Diagnostics Business
- Beckman Coulter and Fujirebio Expand Partnership on Neurodegenerative Disease Diagnostics
- Sysmex and Hitachi Collaborate on Development of New Genetic Testing Systems
- Sysmex and CellaVision Expand Collaboration to Advance Hematology Solutions
- BD and Techcyte Collaborate on AI-Based Digital Cervical Cytology System for Pap Testing
- Medlab Middle East 2024 to Address Transformative Potential of Artificial Intelligence
- Seegene and Microsoft Collaborate to Realize a World Free from All Diseases and Future Pandemics
- Medlab Middle East 2024 to Highlight Importance of Sustainability in Laboratories
- Fujirebio and Agappe Collaborate on CLIA-Based Immunoassay
- Medlab Middle East 2024 to Highlight Groundbreaking NextGen Medicine
- bioMérieux Acquires Software Company LUMED to Support Fight against Antimicrobial Resistance
- Roche Acquires LumiraDx's Point of Care Technology for USD 295 Million
- Bruker Acquires IVD Manufacturer ELITech Group and Cell Imaging Company Phasefocus
- AMP Publishes Best Practice Guidance for Slice Testing Approach in Diagnostics