Digital transformation of nephrology POCUS education—Integrating a multiagent, artificial intelligence, and human collaboration-enhanced curriculum with expert feedback
Background The digital transformation in medical education is reshaping how clinical skills, such as point-of-care ultrasound (POCUS), are taught. In nephrology fellowship programs, POCUS is essential for enhancing diagnostic accuracy, guiding procedures, and optimizing patient management. To address these evolving demands, we developed an artificial intelligence (AI)-driven POCUS curriculum using a multiagent approach that integrates human expertise with advanced AI models, thereby elevating educational standards and better preparing fellows for contemporary clinical practice. Methods In April 2024, the Mayo Clinic Minnesota Nephrology Fellowship Program initiated a novel AI-assisted process to design a comprehensive POCUS curriculum. This process integrated multiple advanced AI models—including GPT-4.0, Claude 3.0 Opus, Gemini Advanced, and Meta AI with Llama 3—to generate initial drafts and iteratively refine content. A panel of blinded nephrology POCUS experts subsequently reviewed and modified the AI-generated material to ensure both clinical relevance and educational rigor. Results The curriculum underwent 12 iterative revisions, incorporating feedback from 29 communications across AI models. Key features of the final curriculum included expanded core topics, diversified teaching methods, enhanced assessment tools, and integration into inpatient and outpatient nephrology rotations. The curriculum emphasized quality assurance, POCUS limitations, and essential clinical applications, such as fistula/graft evaluation and software integration. Alignment with certification standards further strengthened its utility. AI models contributed significantly to the curriculum's foundational structure, while human experts provided critical clinical insights. Conclusion This curriculum, enhanced through a multiagent approach that combines AI and human collaboration, exemplifies the transformative potential of digital tools in nephrology education. The innovative framework seamlessly integrates advanced AI models with expert clinical insights, providing a scalable model for medical curriculum development that is responsive to evolving educational demands. The synergy between technological innovation and human expertise holds promising implications for advancing fellowship training. Future studies should evaluate its impact on clinical competencies and patient outcomes across diverse practice environments.
HSR25-141: Adolescent and Young Adult Cancer Patients: Our Most Financially Vulnerable Demographic
Importance Anemia is a common complication of surgery and acute illness that is associated with adverse clinical outcomes. The role of anemia prevention and treatment strategies in this setting remains unclear. Objective To evaluate the effect of a multifaceted anemia management bundle vs standard care on posthospitalization hemoglobin recovery and multidimensional functional outcomes in survivors of acute illness. Design, Setting, and Participants This parallel group randomized clinical trial, known as the Practical Anemia Bundle for Sustained Blood Recovery, was conducted at postsurgical and medical intensive care units at a large US medical center. Critically ill patients (aged ≥18 years) with moderate to severe anemia (hemoglobin concentration <10 g/dL) were enrolled between March 2022 and November 2023. Participants were randomly assigned 1:1 to the intervention or standard care group. Intention-to-treat analyses were performed between July 2024 and January 2025. Intervention The intervention bundle was delivered throughout the duration of hospitalization and included optimized phlebotomy practices, clinical decision support, and pharmacological anemia treatment with intravenous iron. Main Outcomes and Measures The primary outcome was the mean difference in hemoglobin concentration at 1 month after hospital discharge. Results A total of 100 patients (median [IQR] age, 68 [61-72] years; 57 men [57.0%]; 65 [65.0%] with postsurgical admission to the intensive care unit) were enrolled during acute illness. Forty-nine patients (49.0%) were assigned to receive the intervention, and 51 (51.0%) were assigned to receive standard care. Hemoglobin concentration at 1 month after discharge was greater in patients receiving the intervention vs standard care (median [IQR], 12.2 [11.8-13.0] g/dL vs 11.5 [10.2-12.6] g/dL; adjusted mean difference, 0.69 [95% CI, 0.13-1.20] g/dL; P = .02). Conclusions and Relevance This randomized clinical trial found that a multifaceted anemia prevention and treatment bundle was feasible, was well tolerated, and improved posthospitalization hemoglobin concentrations up to 3 months in critically ill adults. These findings can inform the design of future trials. Trial Registration ClinicalTrials.gov Identifier: NCT05167734
PCO25-209: Inhibition of Aurora A Kinase Restores Sensitivity to CDK 4/6 Inhibition of ER Positive Breast Cancers in Acquired Resistance PDX Model