ImageAssist Launches Loupe™ and the Model Store, Adding Objective Before-and-After Analysis to Clinical Photography and Aesthetic Medicine
ImageAssist, the HIPAA-compliant clinical photography platform incubated at Vanderbilt Health, today announced Loupe™, an AI analysis workspace, and the Model Store, a library of AI models that run inside it. In Loupe™, a clinician opens a patient's photos, runs a model or asks a question in plain language, much like using a chat assistant. The Model Store launches with two models: Face Nexus, a before-and-after facial analysis model developed by Dr. Orr Shauly of Emory University School of Medicine, and Cipher, a privacy model that removes protected health information (PHI) from photo sets, built by a team at Vanderbilt Health.
