Recently, the medical team of Ningbo University Affiliated People's Hospital successfully discovered early pancreatic cancer using artificial intelligence technology in a seemingly ordinary medical treatment, which is eye-catching. Mr. Qiu, 65, went to the hospital for treatment due to dizziness for three consecutive days. Although no abnormalities were found after routine examinations, the AI system promptly issued an alarm through in-depth analysis of its image data, pointing to the potential risk of pancreatic cancer.
In this medical case, the hospital used a combination of "flat scanning CT+AI". This advanced technology successfully identified 6 early pancreatic cancer patients during the screening of 40,000 patients. The application of AI technology in the medical field has gradually become a key factor in improving diagnostic efficiency and accuracy.
The advantage of AI lies in its powerful data processing capabilities and sensitivity. Through technologies such as deep learning, natural language processing, computer vision, and other technologies, AI can identify complex patterns and health risks from huge medical data. This not only allows patients to actively participate in their own health management during the medical treatment, but also allows doctors to make diagnosis and decisions more efficiently.
After receiving the auxiliary diagnosis of AI, Mr. Qiu successfully completed the operation and is currently recovering. This incident once again verifies the importance of AI technology in early disease detection and opens up a new path for the intelligent development of traditional medicine. In the future, the combination of artificial intelligence and medical care will make the patient's medical experience more intelligent and accurate.
It is worth mentioning that AI-assisted diagnostic systems not only have significant results in cancer screening, but also play an important role in the detection of other diseases. For example, in the screening of breast cancer, the introduction of AI can improve the detection rate of early lesions, while reducing the rate of misdiagnosis, and helping more patients obtain timely treatment. Looking ahead, having an "AI Super Doctor" with all-weather, efficient and comprehensive expertise will become a reality, further improving the health management level of patients.