Diagens Tech chair says medical AI future favors clinician-customized copilots over single model

• Diagens Tech management outlined a strategy to scale medical imaging AI through continuous model creation, not reliance on a single “best” system.
• Chairman Ning Song backed a diversified approach, where specialist radiologists train bespoke AI copilots on the iMedImage foundation model.
• Management positioned iMedLoop as an end-to-end platform linking data generation, model training, evaluation, deployment, and feedback to drive a data flywheel.
• Kevin Kelly framed the shift as “AI does medicine, humans do doctoring,” leaving clinicians to focus on judgement, empathy, and patient support.
• Diagens Tech highlighted a new joint laboratory with Hong Kong Polytechnic University to build talent for AI-enabled medical applications.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Hangzhou Diagens Biotechnology Co. Ltd. published the original content used to generate this news brief via EQS News (Ref. ID: corporate_2406632_en) on September 29, 2026, and is solely responsible for the information contained therein.