What will our interactions with our healthcare system look like in the age of AI? Whether you are a patient, a doctor, or any other stakeholder in that system, the question is worth asking. In a world where healthcare costs continue to skyrocket, it is clear we need a radical solution to reverse the trend. The broader challenge is to restore the balance between demand and supply of care, limited by our capacity to train new doctors. Among those relentlessly working on this task are Ali Parsa and his team at Quadrivia. A true veteran of healthcare entrepreneurship, Ali founded Circle Health Group, now the largest chain of private hospitals in the UK, and Babylon Health, the fallen European digital health unicorn that once pioneered the use of AI for remote medicine, symptom checking, and patient triage. Despite all the highs and lows and whatever may have been said about his journey, Ali remains driven by the same mission: making healthcare more accessible and affordable at scale. Today, his efforts are focused on building Qu, which he aims to establish as the gold standard for clinical AI assistants, serving patients, doctors, and the broader ecosystem of actors in the space. In this episode, Ali reveals the inner workings of this formidable tool, showcasing its ability to automate repetitive tasks that healthcare professionals face daily, and the opportunity it offers patients by being available around the clock to advise, educate, and ensure continuous medical supervision. We also discuss the key role of healthcare professionals in the validation of Qu, how to approach the risks and European regulations to make it widely available, and finally, the time and caution required to confidently integrate AI into patients' lives and routine clinical practice. A fascinating conversation that outlines the future of our interactions with the healthcare world! Timeline: 00:00:00 - Ali’s journey as an entrepreneur building healthcare institutions and digital health solutions 00:11:52 - Why healthcare is not affordable nor accessible in the current system 00:16:17 - The interactions where AI will play a crucial role in healthcare (including a demo of Qu!) 00:25:06 - An approach to validate clinically the behaviour of AI in healthcare 00:29:54 - Ali’s observations on the current struggles around AI regulation in healthcare 00:37:22 - Making AI customisable to accommodate different clinical care practices for similar use cases 00:40:01 - Judging a clinical AI’s performance relative to the real performance of healthcare professionals 00:45:10 - Ali’s ambition and Quadrivia’s plans for the next few years What we also talked about with Ali: Special Purpose Acquisition Company (SPAC) Bakul Patel FDA Lovable Modality Partnership We cited with Ali some of the past episodes of the series: #47 - Pushing responsible AI in health - Dr. Ricardo Baptista Leite - HealthAI As mentioned by Ali during the episode, you can have a read at Thinking Machines Lab’s publication “Defeating Nondeterminism in LLM Inference” from September 2025, to dive deep into the nondeterminism problem around the use of LLMs. You can get in touch with Ali via LinkedIn, and follow Quadrivia’s activities on their website and on LinkedIn. ✉️ If you want to give me feedback on the episode or suggest potential guests, contact me over LinkedIn or via email! ⭐️ And if you liked the episode, please share it, subscribe to the podcast, and leave a 5-star review on streaming platforms! 🙏 You can also support my work by doing a PayPal donation @ImpulsePodcast! 👍 Lastly, don’t forget to follow our activities on LinkedIn and our website!
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