Source: Google
Google researchers have developed a deep learning tool called LYNA (Lymph Note Assistant) that can recognize the difference between non-cancer pathological slides and cancer slides 99% of the time. When pathologists used the AI system to assist them in simulated diagnoses, the AI system helped cut inspection time in half and also decreased the rate of missed micro-metastases by half. LYNA was trained to spot metastasis using two sets of pathological slides and delivers more evidence of artificial intelligence's promise in assisting in cancer detection.
Although the system has not yet been used in real-life diagnoses and has only been trained to look for late-stage breast cancer, scientists have noted that it could be adapted to detect other tumors as metastasis is found in most forms of cancer. AI has shown incredible promise in healthcare applications such as cancer detection due to its effectiveness at pattern recognition. When tools such as LYNA are ready for practical use, they will no doubt assist doctors in making more reliable diagnosis as well as give them more freedom to focus on patient care.
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Although the system has not yet been used in real-life diagnoses and has only been trained to look for late-stage breast cancer, scientists have noted that it could be adapted to detect other tumors as metastasis is found in most forms of cancer. AI has shown incredible promise in healthcare applications such as cancer detection due to its effectiveness at pattern recognition. When tools such as LYNA are ready for practical use, they will no doubt assist doctors in making more reliable diagnosis as well as give them more freedom to focus on patient care.
Click here to read the full article.
