[2-A-1] Development and Clinical Implementation of AI in Image and Video Analysis: A Corporate Perspective
artificial intelligence, diagnostic imaging, video analysis, clinical implementation
Diagnostic imaging is one of the most advanced areas of medical AI in terms of clinical implementation, and the use of AI, including machine learning and deep learning, in image and video analysis is flourishing. Academia plays a major role in medical research and development, and the number of conference presentations and paper publications is increasing exponentially. However, in order to achieve the reduction of the burden on medical professionals and improvement of the quality of medical care required of medical AI, it is necessary to go beyond research and development and put it to clinical use in actual medical situations. Academia alone faces a high hurdle in achieving clinical implementation, and companies play a very important role in bringing products to the market that can actually be used in the medical field.
In this symposium, we will hear from a large modality manufacturer, a start-up company with a proven track record, and a start-up company that has just launched its business, each of whom will speak about their research and development using AI in image and video analysis and its actual clinical implementation. By listening to the real voices of companies working on the practical application of medical AI at the forefront, we expect to accelerate the development of medical AI, from research and development to clinical application.
In this symposium, we will hear from a large modality manufacturer, a start-up company with a proven track record, and a start-up company that has just launched its business, each of whom will speak about their research and development using AI in image and video analysis and its actual clinical implementation. By listening to the real voices of companies working on the practical application of medical AI at the forefront, we expect to accelerate the development of medical AI, from research and development to clinical application.