Explainable AI in Healthcare with Akash Parvatikar

There’s a lot of buzz these days about AI, and in particular Generative AI. But Gen AI is just one facet of the huge artificial intelligence field. Today we’ll talk about another facet: one of the ways AI is advancing healthcare through medical diagnosis. Joining us is Dr. Akash Parvatikar, an AI Scientist and Product Manager for the PathologyMap platform at HistoWiz, a company accelerating scientific research and discoveries through the automation of histology and digital pathology solutions. Akash specializes in explainable AI for early breast cancer diagnosis and is an advocate of explainable AI in healthcare. In this episode, Akash highlights the importance of developing AI models that can 'speak the language of a pathologist' by not only classifying diseases but explaining the decision-making process behind the classification. We’ll get into the challenges of digital pathology, the concept of explainable AI, the process of training AI models with limited data, and the potential future applications of AI in medicine beyond pathology. Highlights: 00:53 Introduction 02:40 Akash’s Journey into AI and Healthcare 05:16 Explainable AI in Healthcare 09:33 High-Resolution Imaging in Pathology 35:00 The Future of AI in Medicine 38:48 Concluding Thoughts Links and further reading: https://www.linkedin.com/in/akash007/ https://akashparvatikar.github.io/ https://home.histowiz.com/