Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316

This article discusses Curai's efforts to improve healthcare accessibility and affordability using machine learning and expert systems. It highlights the limitations of traditional primary care and how Curai aims to address them. The conversation covers the application of ML in healthcare, the use and training of expert systems, and the integration of NLP models like BERT and GPT-2. The focus is on leveraging technology to bridge the gap between patients and physicians, making healthcare more scalable and cost-effective. The article suggests a practical application of AI in a critical sector.

• •Curai is using ML and expert systems to improve healthcare.
• •The focus is on addressing the shortcomings of traditional primary care.
• •NLP models like BERT and GPT-2 are being integrated into their system.