Fellow in Clinical AI, Cohort 1
Dr Adam Julius is an Anaesthetic Registrar with a strong foundation in clinical care, technical expertise, and leadership. He has implemented tablet-based learning for medical students, tackled VR-assisted regional anaesthesia projects and delivered digital professional development during COVID-19.
Adam has been working on various projects in Professor Nachev’s group, honing his AI and ML skills. His primary contribution this year has been to NeuroNLP, an AI system that classifies and labels neuroradiology reports. This generates operational data and provides ground truth data for advanced image classification and generation algorithms. He has been involved in testing, training, and debugging NeuroNLP, creating 2D and 3D embeddings of training data, and co-authoring a paper set for submission soon. He’s also been studying large language models and their potential applications in healthcare.
My goal is to apply the knowledge and skills I’ve gained to develop data-driven ML-based solutions to clinical and operational problems. My next step is a one-year research fellowship in liver transplant anaesthesia, where I will apply ML techniques to clinical risk estimation and devise innovative preoperative assessment approaches that enhance safety and efficiency through ML and automation.