Building Clinical Autonomy with Large Language Models

Building Clinical Autonomy with Large Language Models

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes. In this episode, Chief Innovation Officer Dr. Ami Bhatt and Dr. Katie Berlacher discuss how large language models (LLMs) can be integrated into clinical workflows and medical education while preserving clinical autonomy. They address the importance of studying human-AI interaction to establish safe guardrails and emphasize the necessity of formal training and continuous dialogue to prevent an over-reliance on these tools. This episode is supported by OpenEvidence.

Navigating Large Language Models in Cardiology

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes. In this episode, Chief Innovation Officer Dr. Ami Bhatt and Dr. Ankeet Bhatt explore the impact of large language models (LLM) on cardiovascular care today. They provide a practical framework for navigating LLMs at the point of care and highlight important components to engineer an effective clinical prompt. They also dive into how to identify and address biases when using LLMs in clinical workflow. This episode is supported by OpenEvidence.

Using AI-Enabled ECG to Improve Care Delivery

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes. In this episode, Chief Innovation Officer Dr. Ami Bhatt speaks to Dr. Faraz Ahmad about the complexities of deploying AI-enabled tools, such as the AI-enabled electrocardiogram (ECG). They highlight opportunities to thoughtfully deploy these tools and share practical strategies to successfully navigate implementation considerations. They wrap up with essential lessons learned and advice for clinician leaders interested in implementing AI-enabled models in their health system. This episode is supported by Anumana.

Patient Engagement and Care Transformation with AI-Quantified Plaque Analysis

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes. In this episode, Chief Innovation Officer, Ami Bhatt, MD, FACC and Allen Taylor, MD, FACC discuss the importance of cardiovascular prevention and early screening through AI-quantified plaque analysis by drawing parallels to how oncology and gastroenterology approach early detection. They explore how clinicians can harness AI-enabled tools for staging atherosclerosis and guiding therapeutic decision-making. This episode is supported by Heartflow.

ACC.26 Recap of Artificial Intelligence

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes. In this episode, Chief Innovation Officer, Ami Bhatt, MD, FACC discusses the rapid expansion of artificial intelligence (AI) and how it was highlighted at ACC.26 with JACC Editor-in-Chief, Harlan Krumholz, MD, MACC. They explore ethical considerations, trust, human–AI interaction, and the need for clinicians to actively shape AI's role in healthcare. This episode highlights both the opportunities and challenges AI presents, emphasizing collaboration, transparency, and clinician leadership as cardiology enters a transformative era.