{"id":4511,"date":"2022-12-19T23:50:44","date_gmt":"2022-12-19T23:50:44","guid":{"rendered":"https:\/\/gospeedhub.com\/?p=4511"},"modified":"2022-12-19T23:50:46","modified_gmt":"2022-12-19T23:50:46","slug":"ai-cancer","status":"publish","type":"post","link":"https:\/\/gospeedhub.com\/blogs\/ai-cancer\/","title":{"rendered":"AI In Cancer Diagnosis"},"content":{"rendered":"\n

Artificial Intelligence (AI) is like a gun in the hands of science, shooting bullets of salubrity, and the health sector is a ready torso set to experience the best of it. <\/p>\n\n\n\n

A lot has been said of AI and machine learning to make unbiased experimental and clinical suggestions void of human influence. The immense use of AI for innovative findings, especially in health tech, has been thought to replace the need for medical professionals. However, that may not be possible because health tech cannot be without tech-savvy medical professionals, nor can it be improved without them.\u00a0<\/p>\n\n\n\n

On the contrary, AI can act as a third eye for medical personnel, especially radiologists, to help detect early cancer signs which may not be detectable by normal scans or the naked eye.\u00a0Therefore, better accuracy and insights for cancer diagnosis is one advantage Artificial Intelligence delivers. <\/p>\n\n\n\n

AI has improved cancer risk prediction and early detection of breast cancer.\u00a0Currently, research is being done to check for the accuracy of AI in cancer diagnosis, 94% of AI systems used were more accurate than a single radiologist and a group of two or three radiologists, but the headway is that a number of predictions were as accurate as a radiologist would decipher. Lighting up the flames of hope that an accurate cancer diagnosis using AI is still possible to attain a more digitalized health sector.\u00a0<\/p>\n\n\n\n

How much can be achieved with AI in cancer diagnosis? <\/p>\n\n\n\n