#95, Boosting Pathologist Productivity with AI, with Joseph (Yossi) Mossel from Ibex AI
Jul 24, 2024
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Explore how Ibex AI is revolutionizing cancer diagnosis with artificial intelligence! Discover the founders' journey, fueled by a vision for tech-driven healthcare despite their lack of medical background. Learn about a significant milestone when their AI caught a misdiagnosis at Maccabi Healthcare. The podcast emphasizes the importance of integrating AI into clinical workflows and how these advancements in technology can enhance patient care. Dive into building a purpose-driven team and the critical role of early cancer detection in improving healthcare outcomes.
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Quick takeaways
Ibex AI's integration of artificial intelligence into digital pathology significantly enhances cancer diagnosis accuracy and efficiency, transforming clinical workflows.
The founders’ unique technology backgrounds allowed them to identify critical gaps in healthcare, demonstrating the potential for diverse expertise to innovate cancer diagnostics.
Deep dives
AI's Impact on Cancer Diagnostics
The integration of AI into cancer diagnostics has shown significant promise in improving accuracy and efficiency. IVEX AI's Galen platform employs artificial intelligence to assist pathologists in identifying cancers with clinical-grade precision, aiming to minimize diagnostic errors. A pivotal moment occurred with the deployment of their algorithm at Maccabi, where it successfully identified a case misdiagnosed as benign, highlighting the technology's potential to make critical differences in patient outcomes. This illustrates the broader impact that AI can have on healthcare by enhancing diagnostic processes and ultimately improving patient care.
The Inception Journey of IVEX AI
The founders of IVEX AI, Yasi Mosell and Chaim Lienhardt, came from technology backgrounds with no prior experience in healthcare, yet they recognized a critical gap in the field of digital pathology. Their key breakthrough came when they learned about digital pathology scanners and the potential for AI applications in this area, prompting them to focus their efforts on developing solutions for cancer diagnostics. The collaboration with experienced pathologists, including Maccabi's chief pathologist, underscored their commitment to integrating clinical expertise into their technological innovations. This intersection of non-medical experience with medical necessity is a testament to how diverse backgrounds can drive forward-thinking solutions in healthcare.
Strategic Partnerships and Data Utilization
Forming strategic partnerships is crucial for IVEX AI's success, particularly in accessing the extensive data needed to train their algorithms effectively. An agreement with Maccabi allowed access to both digital pathology images and associated clinical data, enabling the development of a robust AI model. The founders emphasized the importance of selecting high-quality datasets for training, which helps ensure comprehensive representation of different cancer types in the algorithm. This strategic focus on data not only enhances the AI's performance but also strengthens IVEX AI's position in the competitive landscape of cancer diagnostics.
Cultural and Operational Insights for Startups
Building a strong company culture and understanding the nuances of operational growth are essential for startups like IVEX AI. The co-founder has placed significant emphasis on hiring individuals who share a mission-driven mindset, leading to a collaborative and innovative work environment. As the company has grown, the need for clearer roles and operational metrics became evident, demonstrating the importance of adapting management styles to match the size of the team. This consciousness regarding culture and operational dynamics can provide valuable lessons for other entrepreneurs navigating the complexities of healthcare innovation.
In this episode of the AWS Health Innovation Podcast, we explore how Ibex AI is transforming cancer diagnosis with artificial intelligence. Host Guy Spigelman, EMEA lead for Healthcare and Life Sciences Startups at Amazon Web Services, sits down with Joseph (Yossi) Mossel, Co-Founder and CEO of Ibex AI, a pioneering company in AI-based cancer diagnostics for pathology.
How did the founders of Ibex AI recognize the potential for AI in digital pathology?
Yossi Mossel and Chaim Linhart had no prior healthcare experience but were driven to start a mission-driven company that could leverage Israel's strengths in tech and digitized health records.
Their "aha moment" came when they learned about digital pathology scanners, leading them to apply AI to pathology diagnosis.
What key milestones did Ibex AI achieve in deploying their AI solution?
Ibex AI deployed its first AI algorithm for prostate cancer diagnosis at Maccabi Healthcare Services in Israel in early 2017, quickly validating its clinical impact by catching a misdiagnosis within days.
Wales was the first country to nationally deploy Ibex's AI across NHS trusts for prostate and breast cancer diagnosis.
How does Ibex AI prioritize seamless integration of their AI into clinical workflows?
Ibex AI focuses on partnerships to integrate its AI into existing healthcare workflows and platforms, recognizing that key factors for successful healthcare AI adoption include innovation, workflow integration, and an appropriate economic model.