Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems
Jacob T. Rosenthal, Ashley Beecy, Mert R. Sabuncu
Abstract
There is a growing recognition of the need for clinical trials to safely and effectively deploy artificial intelligence (AI) in clinical settings. We introduce dynamic deployment as a framework for AI clinical trials tailored for the dynamic nature of large language models, making possible complex medical AI systems which continuously learn and adapt in situ from new data and interactions with users while enabling continuous real-time monitoring and clinical validation.
Topics & Concepts
Software deploymentComputer scienceClinical trialArtificial intelligenceMachine learningData scienceHuman–computer interactionSoftware engineeringMedicinePathologyArtificial Intelligence in Healthcare and EducationScientific Computing and Data ManagementMachine Learning in Healthcare