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Artificial Intelligence may Improve Cancer Care

Researchers are discovering new ways to use Artificial Intelligence (AI) in the healthcare area as it continues to grow. AI has played a key role in the diagnosis, decision-making, and treatment of chronic diseases, particularly in cancer research. Artificial Intelligence, machine learning, and deep learning, according to the National Cancer Institute, can all be utilised to improve cancer care and patient outcomes. integration in cancer care could enhance diagnosis accuracy and speed, aid clinical decision-making, and result in better health outcomes.

Clinical treatment driven by Artificial Intelligence has the potential to make a significant difference in eliminating health inequities, especially in low-resource settings. Researchers can employ Artificial Intelligence to develop the next generation of precision oncology. Medical practitioners have recently increased their usage of Artificial Intelligence in cancer detection. Researchers at Tulane University revealed that can detect and diagnose colorectal cancer as well as or better than pathologists by analysing tissue scans.

Over 13,000 photos of colorectal cancer were collected from 8,803 patients and 13 independent cancer facilities in China, Germany, and the United States by the researchers. The researchers then created a machine learning software using photos chosen at random by technicians. The algorithm can distinguish photos of colorectal cancer, which is one of the most common causes of cancer-related deaths in Europe and the United States, according to researchers.

The team of researchers compared the machine learning technique to pathologists’ work after constructing a performance measurement tool. According to the study, the average pathologist scored roughly 0.969 for accuracy in identifying colorectal cancer, while the programme scored 0.98, indicating that the programme was somewhat more accurate than pathologists’ manual data.

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