AI-enhanced Safety of Prescription
研究簡介
Though the idea of an artificial thinking machine has been around since ancient Greek writings of mechanical men, it was the early computer age that made the concept seem obtainable When the term artificial intelligence – AI – was coined in 1955 Dr. Yu-Chuan Li was’nt yet born.. For Dr. Li, growing up with early portrayals of artificial thinking technology in movies was fascinating, and access to early computers made it possible to begin working with AI in high school.
IBM Watson for Oncology
研究簡介
When facing a life threatening health crisis, it might sound good to have an intelligent supercomputer help inform your care, especially one that’s been trained by some of the worlds’ top oncologists. That’s the goal for IBM’s new AI based technology, which was brought to TMU hospitals last year.
Spotlight spoke about the technology and its applications with Dr. Chun-You (Jim) Chen, radiation oncologist, self-taught programmer, and Chief Medical Information Officer at Wanfang Hospital. Dr. Chen created and continues to develop Wanfang Hospital’s “One Page” patient information system, and is in charge of clinical adoption and EMR system integration of Watson for Oncology in the Taipei Cancer Center of Taipei Medical University.
Biomedical Signal AI Machine Learning
研究簡介
Physiatrist Dr. Jiunn-Horng Kang has the calm demeanor of someone used to reassuring patients. At the same time, a somewhat mischievous smile and glasses make seem like he’s be just as at home at a video game exhibition as at a patient’s bedside. Between his time as a physiatrist, researcher, and associate professor, he has his assistants and students test out popular tech devices to find discrepancies between interpretations of physiological data and people’s real world experiences. On his wrist is a new model smartwatch. “I wear a lot watches to see the signals I can get from different devices. Actually in our lab we have more than ten kinds of watches.”
AI in Imaging
研究簡介
At a time when artificial intelligence is being hyped as a solution to a multitude of health related problems is running high, some people are worried that tasks once done by humans may be better suited to machines – transferring health care responsibilities to computers and putting doctors out of work.
In fact, this same question was being asked 27 years ago when Dr. Wing-Pang Chan, now Professor and Director of Radiology at Taipei Medical University and Chief of Radiology at Wanfang Hospital, was rained as research fellow in MSK Radiology, supervised by Professor Harry K. Genant, at the University of California, San Francisco. Dr. Genant and his team were working on a machine learning classification system for vertebral compression fractures. Machine learning was at that time in its early stages, and viewed by many medical practitioners as a promising technology for interpreting medical imaging data. But the hope for new technology brought with it reservations: would this technology eventually replace doctors’ eyes and brains?
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