The general public will seek medical treatment because of new moles and spots on the skin, fearing that it is skin cancer. In the past, an experienced dermatologist was needed to judge with the naked eye or make a detailed examination to make a diagnosis. Now, through the automatic interpretation of artificial intelligence system, doctors can be quickly assisted to judge the skin diseases in outpatient clinics, which is a new technology that makes people shine.
The classification system of dermatoses can automatically interpret malignant tumors.
Dai Haozhi, director of plastic surgery at National Taiwan University Hospital, said that the R&D team of Taiwan Province Provincial University and National Taiwan University Hospital spent three years developing the dermatology classification system (AI-CDSS) to automatically interpret skin changes such as moles, spots and skin cancer, and provide expert advice. For all kinds of wound images, doctors provide professional advice, so that artificial intelligence can learn to distinguish the wound situation, which can not only correct the retouching software used by patients' mobile phones, but also correct the problems of light and shade, color and so on, and reduce misjudgment, even if there are tattoos.
Dai Haozhi said that using the artificial intelligence AI-CDSS system platform, five diseases in dermatology can be automatically interpreted. Basal cell carcinoma, melanoma, squamous cell carcinoma, nevus, seborrheic keratosis and senile plaque. Among them, the first three are malignant skin tumors that can not be ignored, and sometimes it is difficult to distinguish them from the latter two benign nevus or senile plaques. If wisdom interpretation is added to doctors' clinical diagnosis, it will reduce too many or insufficient follow-up examinations and bring a win-win situation for doctors and patients.
The mobile phone APP tracks the postoperative wound doctor and gives professional advice in time.
In addition to the classification of dermatological diseases (AI-CDSS system), there is also the technology of "Intelligent Post-operative Wound Tracking System (AI-SWAS)" of mobile APP. After returning home, patients can take photos of the wound every day and use APP to detect whether there is redness, necrosis, infection and so on. The accuracy rate is over 90%, and the doctor can give advice in time.
Breakthrough in the field of precision medicine: whole gene detection of disease risk
In addition, there have been breakthroughs in the field of precision medicine. The further development of genome-wide detection will not only provide gene diagnosis for acute and severe children within one week through rapid whole exon detection, but also make great strides towards precision medicine. At present, it can provide detection of mutations that have a significant impact on health, including 59 genes recommended by the American Society of Medical Genetics and Genomics (ACMG), which are related to the risks of major diseases such as cancer and heart. Provide drug genome information, let doctors know the dosage of drugs suitable for patients and reduce the occurrence of side effects; It can also provide genetic risk assessment of multifactorial diseases, such as the risk of coronary artery disease.
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