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  • 115/5/20 (Wed.)【KMU AI seminar】- Yu-Ting Lin, Visiting Staff, Department of Anesthesiology, Taipei Veterans General Hospital: Measuring the inconspicuous changes in vital signs during clinical anesthesia

115/5/20 (Wed.)【KMU AI seminar】- Yu-Ting Lin, Visiting Staff, Department of Anesthesiology, Taipei Veterans General Hospital: Measuring the inconspicuous changes in vital signs during clinical anesthesia

 

 

This lunchtime lecture series blends innovation, expertise, and a relaxed atmosphere, offering an exploration of the latest applications and future advancements of artificial intelligence in digital medicine. While enjoying a delicious lunch, participants will gain cutting-edge insights into AI in medicine and engage in in-depth discussions with experts.

 

Speakers:

  • Yu-Ting Lin (Visiting Staff, Department of Anesthesiology, Taipei Veterans General Hospital)

Vital signs present a simple assessment of the body's basic condition; as long as the values ​​are normal, they go inconspicuous, and even inconspicuous are their dynamic changes, which seem unpredictable. However, they are not purposeless, as they reflect the body's internal activities. From an AI perspective, a suitable encoder helps interpret and analyze these signs, and the input data could even become an autoencoder. From a clinical practice perspective, these changes should be merged into existing knowledge and experience. Therefore, we use spectral decomposition to develop practical scientific tools.

We welcome all colleagues interested in AI and medical innovation to sign up and explore the limitless possibilities of smart medicine together!

 

【Lecture Information】

  •  Topic: Measuring the inconspicuous changes in vital signs during clinical anesthesia 
  •  Date & Time: May 20, 2026 (Wed.) | 12:10-13:20
  •  Venue: Room IR630, 6th Floor, International Academic Research Building, Kaohsiung Medical University
  •  Registration Deadline: Until May 18, 2026 (Mon.) at 12:00 | Online registration required
  •  Registration Link: https://forms.gle/ZinL3pNzWnYwth37A
  •  Participation Mode: Hybrid (In-person: 60 participants; Online: Unlimited)
  •  Organizers: Biomedical Artificial Intelligence Academy of KMU, Department of Artificial Intelligence in Medicine of KMU, Medical AI Innovation and Application Center of KMUH
  •  Additional Info: Lunch will be provided for in-person attendees. 

 

※ This lecture is eligible for KMU faculty growth credits. Participants must complete both sign-in/out and the satisfaction survey to receive credit points.

 

We look forward to your participation!

20260520 海報

 

 

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