Using the artificial intelligence AI-CDSS system platform, five types of dermatologic diseases can be automatically interpreted. Basal cell carcinoma, melanoma, squamous cell carcinoma, nevus, seborrheic keratosis and age spots.
The general public is concerned that new moles and spots on the skin may be skin cancers and seek medical attention. In the past, experienced dermatologists would need to use the naked eye to make a judgment or conduct a detailed examination in order to confirm the diagnosis. Now, through the automatic reading of artificial intelligence systems, it is possible to quickly assist physicians in determining the status of skin diseases in outpatient clinics, which is a new and eye-opening technology.
Dermatology Disease Classification System (DDCS) can automatically read malignant tumors
Dai Haozhi, Director of Plastic and Reconstructive Surgery of National Taiwan University Hospital, said that the research and development team of the University of Taiwan and National Taiwan University Hospital has spent three years developing the Dermatology Disease Classification (AI-CDSS) system, which can automatically read skin changes such as moles, blemishes, and skin cancers on the skin to provide expert advice. Provide expert opinion. In addition, the AI-CDSS system can also be used to provide professional advice on various types of wound images, allowing the AI to learn to identify wound conditions, not only correcting the retouching software used by the patient's cell phone, but also correcting the problems of darkness and color to reduce misjudgment, and even if there is a tattoo, it won't be a misjudgment.
Dai Haozhi said that the use of artificial intelligence AI-CDSS system platform, can automatically read the dermatology of five types of diseases. Basal cell carcinoma, melanoma, squamous cell carcinoma, nevus, seborrheic keratosis with age spots. Among them, the first three categories are malignant skin tumors that cannot be ignored, and the last two categories of benign nevus or senile plaques, which are sometimes difficult to differentiate. If, in addition to the physician's clinical diagnosis, the addition of intelligent interpretation assistance will reduce the excessive or insufficient follow-up tests, bringing a win-win situation for both the physician and the patient.
Mobile phone APP tracking postoperative wounds Physicians give professional advice in a timely manner
In addition to the Dermatology Disease Classification System (AI-CDSS system), there is also a cell phone APP "Smart Wound Tracking System for Post-operative Wounds (AI-SWAS)" technology, which allows the patient to take a photo of the wound every day after going home and use the APP to detect the presence of redness, swelling, and other signs of aging. The AI-SWAS technology allows patients to take photos of their wounds every day after they return home and use the APP to detect redness, swelling, necrosis, and infection, with an accuracy of more than 90%, and the physician can also give timely advice.
Big breakthroughs in precision medicine
Also in the field of precision medicine, there are breakthroughs.
In addition to being able to provide rapid whole-exome testing for genetic diagnosis of children with acute medical conditions in less than a week, the further development of whole-exome testing will allow for significant advances in precision medicine, and can now provide testing for mutations that have a significant impact on health, including the 59 genes recommended by the American College of Medical Genetics and Genomics (ACMG) and related to the risk of cancers and major diseases such as heart disease; It also provides information on the genome of drugs so that doctors can know the appropriate dosage of drugs for their patients and minimize the occurrence of side effects. It also provides genetic risk assessment of multi-factorial diseases, such as the risk of coronary artery disease.
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