As part of the CDTH Clinical AI - the art of the possible, hear from Prof Errol Norwitz, Professor of Ob/Gyn at Tufts University speak on the subject of 'Using explainable multimodal AI in the service of pregnancy health,' on Thursday 31 October 2024.
AI-driven technologies (with or without ML or LLM/Generative AI capabilities) are advancing rapidly, becoming increasingly sophisticated at doing what humans do-and doing it more efficiently, more accurately, and at lower cost. Such technologies have the potential to be disruptive across the full breadth of the healthcare industry, including improving diagnosis and clinical decision-making, driving operational efficiency, and employing predictive modeling for risk stratification. Healthcare organizations that fail to maximize the technology’s promise-or fail to do so in a timely fashion-will be left behind. In this presentation, we will address the putative benefits and risks of AI-driven technologies in the field of women’s health, with specific attention to pregnancy. We will review the greatest barrier to the AI healthcare revolution, namely implementation (adoption and diffusion). To fully harness the potential of these formidable technologies, frontline care providers will need to be proficient in how to incorporate these technologies into their routine clinical workflows with a view to both improving healthcare outcomes and optimizing resource utilization (reducing cost).