In this episode of "LARVOL & Friends," Dominique Lahaix , an experienced AI expert, takes us on a journey through the fascinating world of AI, data, and healthcare. Dominique shares his extensive background in software and AI, showcasing his work at HP and his own company, Ecan. The conversation centers around the ever-evolving landscape of AI in healthcare and the increasing prominence of large language models like GPT.

The discussion delves into the transformative potential of these language models and how they can revolutionize various industries. However, the limitations of AI projects are also acknowledged, with an emphasis on the significance of proper training and data quality. Dominique highlights the importance of trustworthiness, explanation, and user acceptance when it comes to AI-generated responses.

Join "LARVOL & Friends" as we explore the magical yet complex world of AI, and discover how language models are reshaping our lives, information access, and decision-making processes. Stay informed and ahead of the curve in this exciting era of AI and data-driven technologies.

Join co-host Shaheer Shaikh and AI expert Nicolas Galineau on the "LARVOL and Friends" podcast as they delve into the rapidly evolving world of AI and its profound impact on healthcare and other industries. Nicolas shares his 20-year journey as a software engineer with a keen interest in machine learning and AI, highlighting the advancements made over the last decade. The conversation explores the transformative power of AI, the integration of GPT (Chat GPT) into workflows, and the potential benefits and ethical concerns associated with AI implementation. With insights into bias, privacy, and job displacement, Shaheer and Nicola provide valuable perspectives on responsible AI utilization. Discover how businesses can navigate the evolving landscape, address challenges, and unlock the full potential of AI for a brighter future.

In this episode of "LARVOL & Friends" Bruno Larvol and Dr. Monika Lamba Saini discuss the role of artificial intelligence (AI) in pathology and its potential impact on healthcare.

They delve into the slower adoption of AI in pathology compared to other medical specialties and examine the challenges that lie ahead. The conversation explores the need for regulatory approval, integration with hospital systems, and standardization of AI solutions in pathology. Dr. Saini shares insights on image recognition, the digitization of healthcare, and the transformative potential of AI in diagnostic algorithms.

Join the discussion to gain a deeper understanding of the future possibilities of AI in pathology and its implications for precision medicine.