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Peter Kecskemethy
Co-founder and CEO at Kheiron Medical
Peter Kecskemethy is a prominent entrepreneur and the co-founder and CEO of Kheiron Medical, a company specializing in artificial intelligence (AI) solutions for cancer diagnostics. Based in London, Kheiron Medical was established in 2016 with the mission of enhancing the efficiency and accuracy of radiology reporting through advanced machine learning technologies.12
Professional Background
Kheiron Medical
- Role: Co-founder and CEO
- Founded: 2016
- Focus: Development of intelligent tools for radiologists, aiming to improve patient outcomes by prioritizing the needs of clinicians.12
Previous Experience
- Entrepreneur First: Worked as an entrepreneur for a short stint in 2016.
- University of Oxford:
- Post-doctoral researcher (2015-2016), focusing on high-performance algorithms.
- Teaching assistant (2009-2015), covering subjects like programming and statistics.
- PhD researcher (2009-2015), specializing in computational methods in population genetics.
- Globle Technologies Ltd: Co-founder and CTO (2011-2014), where he developed mobile applications for professional networking.
- Integrated Telemedicine Solutions (ITS): Founder and CEO (2009-2012), focused on teleradiology services.13
Education
Peter Kecskemthy holds a PhD from the University of Oxford, where he engaged in research related to high-performance computing and machine learning applications in genetics.12
Skills and Languages
He is proficient in several languages, including:
- Hungarian: Native proficiency
- English: Full professional proficiency
- German and French: Elementary proficiency.14
Kecskemethy’s entrepreneurial journey reflects a strong commitment to leveraging technology for healthcare improvements, particularly in radiology. His leadership at Kheiron Medical positions him at the forefront of innovation in medical imaging.
Highlights
#AI will change almost every aspect of our healthcare experience. In this The Economist Babbage podcast I share my thoughts on how we've developed and deployed Mia® to find more breast cancers earlier, reduce healthcare inequalities and save doctors’ time.
Joined by thought leaders Natasha Loder, Gerald Lip, Pranav Rajpurkar and Dr Hugh Harvey, this podcast is worth a listen for anyone who is interested in the capabilities and limitations of AI in healthcare.
https://lnkd.in/gJnhPNv5
#AI #healthcare #generativeAI
Kheiron at Fortune AI
It takes more than a good model to make a positive impact in healthcare with #AI. Thanks to Jeremy Kahn, Sara Leeder Bonin, Mona Nair and the team at Fortune for giving me the opportunity to share about our proprietary methodology for the development of safe, effective, and equitable AI-enabled cancer diagnostics at Fortune AI Brainstorm.
There are four key steps to always follow:
- Develop models that solve an important problem such as earlier cancer detection
- Evaluate these models thoroughly at large scale on diverse inputs (retrospectively and prospectively) and make sure they generalise and actually work in the real, complex world of healthcare
- Do safety checks at every site to make sure models are working as expected
- Conduct ongoing monitoring so you know immediately if performance drifts and can adjust the AI.
If you want to learn more, you can watch my whole presentation here: https://f.io/JDCT7SqA - Password: fortuneai
Photograph and video courtesy of #FortuneAI
