National Taiwan University of Science Technology1.0
  • 2018 Dec 01
  • AIExplore Super-Fast AI Platform is announced on 2018 RSNA Machine Learning Highlights of the Showcase Theater
The RSNA 2018, annual conference of Radiological Society of North America, is the largest international conference in radiology, which draws more than 53,000 attendees. Prof. Ching-Wei Wang from National Taiwan University of Science and Technology announced the release of the AIExplore super-fast AI platform on 2018 RSNA Machine Learning Showcase Theater in Chicago, USA, attracting a lot of attentions and collaboration requests.
Figure 1 : Prof. Ching-Wei Wang announced the release of AIExplore Super fast AI platform on RSNA 2018 Machine Learning Highlights

AIExplore was established with the generous support by the Ministry of Science and Technology of Taiwan at the end of 2016 and already becomes a key innovator in medical imaging AI in large-scale medical data services. AIExplore has kept committing to the mission of bringing deep learning into intelligent medicine and focuses on computer aided diagnosis and medical data analysis. By helping hospitals and companies to build high performance AI computing facilities, AIExplore provides an efficient and effective deep learning based infrastructure solution for all applications, such as medical, biomedical applications and industrial detect detections. The platform allows users to easily annotate image data and input associated instances’ attributes, and with one click, users can build fast and accurate deep learning models using limited data in one day for tasks such as image segmentation, detection and classification. Apart from super fast training of AI models, the system is capable of high speed model inference / prediction, and takes only seconds to conduct precise pixel based segmentation of objects of interests such as tumor, inflammation tissues or defects on gigabyte image / data.

Moreover, advanced adaptive learning enables system to continuously improve AI models and produces or tunes up AI models for recognizing objects with similar morphology. Adaptive learning produces improved AI models in minutes. Furthermore, this platform can produce a real-time interactive 3D image model. By using AIExplore platform, doctors can diagnose and analyse medical images through mobile phones or tablets anytime and anywhere.

Professor Ching-Wei Wang said,” We expect to have great impacts and contributions on precision medicine and the reduction of the repetition work of medical staff by the AI-based solutions. AIExplore develops the AI model and the features for clinicians needed through the cooperation with hospitals and continuous communication with doctors. We are glad to bring the latest technology into our daily life and make our life better.”