Deepnoid Provides 'No-Code' Medical AI Training at Inha University College of Medicine
Utilizing the No-Code Platform 'DeepPie'
Deepnoid announced on the 6th that it conducted practical training on the latest medical AI diagnostic technology and AI education using the no-code platform 'DeepEye' at Inha University College of Medicine.
Deepnoid is conducting AI diagnostic model development and training using the no-code platform 'DeepPie' for second-year medical students at Inha University College of Medicine.
[Photo by Deepnoid]
This lecture was conducted by Professor Lee, a radiology professor at Inha University Hospital, targeting second-year medical students, using diagnostic models for knee osteoarthritis and spinal compression fractures as examples. Professor Lee gave a lecture on how to implement machine learning algorithms using the DeepEye platform and commercialize diagnostic services.
DeepEye allows users to upload data and build AI models and develop app services by combining modular blocks such as data preprocessing and AI training through modularized pipelines with just mouse clicks. In particular, it provides a one-stop deep learning and cloud-based development environment, offering medical students an AI practical training environment.
A student who participated in this class said, "It was fascinating to create AI diagnostic models for osteoarthritis and spinal compression fractures without any prior knowledge of coding or artificial intelligence, and it was surprising and useful that the AI diagnostic models could be advanced even without coding knowledge."
Choi Woosik, CEO of Deepnoid, said, "The DeepEye platform is a powerful AI authoring tool that allows medical professionals to easily develop AI-based medical services without any development knowledge," adding, "We will strive to become a cornerstone in the medical field and continuously nurture field-oriented medical AI experts."
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