NCC Medical and USST Launch AI Practice Base

NCC Academy | Industry-Academia Collaboration

On the afternoon of November 27, a significant milestone was reached in industry-academia collaboration with the grand unveiling of the "Medical Artificial Intelligence Practical Education Base" at the University of Shanghai for Science and Technology (USST). This base is a joint initiative between the USST School of Health Science and Engineering (SHSE) and NCC ACADEMY, representing a deep commitment to integrating education and industry for nurturing innovative talent in medical AI.

Deepening Industry-Academia Integration
The ceremony was attended by key representatives from both the university and the industry partner. From USST SHSE, attendees included He Hong, Head of the Department of Medical Artificial Intelligence, along with faculty members Li Xiaobing (Head of Medical Ultrasound Technology) and Chen Zhaoxue (Head of Medical Imaging Technology), and student representatives.
The industry partner, NCC ACADEMY, was represented by Ms Han Bei (Dean of NCC ACADEMY), Mr. Wen ( Corpoarte mentor for Software ), Xu Yueyan (HR Director ),Corporate mentors Mr. Kang and Mr. Duan.
Ms. He Hong emphasized the base's crucial role in breaking down disciplinary barriers and promoting the integration of medicine and engineering. She noted that the collaboration aims to embed cutting-edge industry demands into the curriculum, effectively enhancing students' innovative practical abilities and engineering literacy. This initiative is vital for cultivating high-caliber, compound talents urgently needed for national strategy and industry development.
Ms. Han reiterated NCC ACADEMY’s core principle of "real cases, real practice, and deep industry-academia integration." The academy will utilize the company's authentic R&D projects and actual market demands as the central teaching vehicles, ensuring a win-win outcome for university talent development and enterprise innovation.

The joint unveiling marked the commencement of a substantial phase in collaboration for medical AI talent cultivation.