# 2024 transplant AI symposium: key AI models shaping the future of transplant care

## TL;DR

Experts discussed how AI models can improve transplant care by analyzing medical data and supporting clinical decisions.

## Contribution

The paper highlights key AI models and their adaptability across transplant specialties, emphasizing ethical integration into clinical practice.

## Key findings

- Foundational AI models like MedSAM, scPGT, and Clinical Camel show high capability in transplant care.
- Multimodal data consolidation and ethical deployment are critical for integrating AI into clinical practice.
- Experts emphasized the need for safe and ethical AI implementation in transplant medicine.

## Abstract

Experts in transplantation medicine and AI innovation came together to showcase advancements in AI applications with the potential to improve transplant outcomes. Ethical deployment, consolidation of multimodal data and supporting clinical decision making were among the themes addressed. Experts presented foundational models such as MedSAM for universal medical image segmentation, scPGT for single-cell genomics and Clinical Camel for clinical decision support, each demonstrating high capability and adaptability across transplant specialities. Experts highlighted future directions, considerations, and challenges for integrating these tools into clinical practice in an ethical and safe manner. We will summarize these themes as discussed at the Ajmera Transplant Centre's second annual Transplant AI Symposium.