What sparks will emerge from Taiwan’s two strongest industries?
Posted: Wed Jan 08, 2025 4:28 am
Li Jianzhang pointed out that the establishment of artificial intelligence models in hospitals will require four major elements: medical data, cross-field talents, computer computing power, and translation (introducing AI software into hospitals) . These are not tasks that can be handled under the traditional hospital structure, so it is necessary to set up intelligent medical center.
Currently, NTU Smart Medical Center mainly focuses on three areas:
First, image recognition. Up to 70% of artificial intelligence is used in imaging. The Department of Ophthalmology of National Taiwan University has cooperated with Acer to develop "Ophthalmic AI-assisted diagnosis software" to assist doctors in diagnosing retinopathy in diabetic patients with an accuracy of over 95%. National Taiwan University has also developed an AI model of cardiac aortic calcification/fat, which can analyze a cardiac aortic calcification case in just 0.4 seconds.
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Second, natural language processing. For example, when a doctor writes a diagnosis, he will write down Chinese and English words, and then the nosologist will code the international disease code. Since the international disease code is the basis for the hospital to apply for health insurance, "in the past, the nosologist might have spent half an hour to do it." Looking at a medical record, AI can now directly tell you how many diagnoses a medical record has. "When the AI coding becomes more complete, it will also directly help the hospital's finances.
Third, structured data. When a patient is sent to the emergency room, the doctor will make a comprehensive judgment based on the patient's medical history, vital signs and laboratory data; now AI can also make comprehensive judgments, such as the mortality rate of Covid within 30 days, and whether he or she needs to be admitted to the intensive care unit.
Currently, NTU Smart Medical Center mainly focuses on three areas:
First, image recognition. Up to 70% of artificial intelligence is used in imaging. The Department of Ophthalmology of National Taiwan University has cooperated with Acer to develop "Ophthalmic AI-assisted diagnosis software" to assist doctors in diagnosing retinopathy in diabetic patients with an accuracy of over 95%. National Taiwan University has also developed an AI model of cardiac aortic calcification/fat, which can analyze a cardiac aortic calcification case in just 0.4 seconds.
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Second, natural language processing. For example, when a doctor writes a diagnosis, he will write down Chinese and English words, and then the nosologist will code the international disease code. Since the international disease code is the basis for the hospital to apply for health insurance, "in the past, the nosologist might have spent half an hour to do it." Looking at a medical record, AI can now directly tell you how many diagnoses a medical record has. "When the AI coding becomes more complete, it will also directly help the hospital's finances.
Third, structured data. When a patient is sent to the emergency room, the doctor will make a comprehensive judgment based on the patient's medical history, vital signs and laboratory data; now AI can also make comprehensive judgments, such as the mortality rate of Covid within 30 days, and whether he or she needs to be admitted to the intensive care unit.