Jeonbuk National University Hospital Aims Beyond Diagnosis to Respiratory Therapeutics with AI
AI TIMES ·
✦ AI Summary
According to AI TIMES, Jeonbuk National University Hospital launched operations of the "Superintelligent Respiratory AI Center" on September…
According to AI TIMES, Jeonbuk National University Hospital launched operations of the "Superintelligent Respiratory AI Center" on September 3 to develop artificial intelligence technologies for respiratory diseases and personalized therapeutics based on the hospital's real-world data. The center is a hub that will expand its research scope beyond diagnostic assistance to identifying therapeutic candidates by using more than 100,000 chest CT scans and linked clinical data. The hospital plans to build an in-hospital industry-academia collaboration research system involving medical staff, university researchers, and domestic AI companies to jointly pursue technologies that can be used in actual clinical settings and clinical validation. In particular, it will fully step up research to precisely analyze a range of respiratory diseases based on accumulated chest CT data paired with inspiratory and expiratory states. By bringing together accumulated imaging and clinical information, pathology results, and follow-up data, the center is said to have a broader research foundation than simple reading support. The hospital envisions using this to strengthen regional care capabilities while also serving as a bridge to clinical application and commercialization for domestic medical AI companies.
Perspective
The significance of this issue lies in the fact that medical AI is moving from technology experiments outside hospitals to a stage centered on in-hospital data and care workflows. The direction of broadening use cases from diagnostic support to therapeutics development and validation changes the role of medical institutions from mere customers into starting points for research and commercialization. Ultimately, the core of competitiveness is also likely to shift from the algorithm itself to real-world data and the collaborative structure that connects it. If such a model takes hold, regional hub hospitals can also raise their presence as a nexus linking clinical care, research, and industrialization.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
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