In the medical field, the early diagnosis might be the difference between life and death or between expensive medical therapy and chronic sickness. Non-communicable diseases (NCDs), especially cancers, may frequently be treated more successfully if they are detected early. Cancer continues to be among the top 10 causes of mortality in Jamaica, followed by a number of NCDs. Early diagnosis is frequently crucial to avoiding death or disability.
The World Health Organization reports that cancer, a broad term for a multitude of diverse forms of malignant tumors, is the leading cause of death globally (WHO). In 2020, around 10 million individuals worldwide passed away from cancer-related causes.
Since cancer is one of the top 10 causes of death worldwide and is responsible for around 20% of all annual fatalities, the situation in Jamaica is largely the same as that of the rest of the world. According to figures from the WHO International Agency for Cancer Research and the Ministry of Health and Wellness, we should have seen more than 7,000 new cases of cancer in 2018, and the numbers are still rising.
Technology is being employed more frequently as medical research and development progress to assist in the identification of several cancers as well as other disorders generally. Deep learning, computer, machine, and artificial intelligence are the most efficient methods for achieving this aim (AI).
A cutting-edge cancer diagnostic tool that was created just a few years ago demonstrates the effectiveness and precision of artificial intelligence in the detection of cancer. Researchers from all over the world are developing similar systems to aid pathologists in making more accurate cancer diagnoses, and the system that was first developed by neuropathologist Matija Snuderl of New York University’s Langone’s Perlmutter Cancer Center “received state approval to use its AI classifier as a diagnostic test in October 2019.”
The AI is capable of identifying patterns and spotting details that are too minute for the human sight to see. This improves the possibility of spotting cancer in its earlier stages. In order to simplify and target treatment for improved patient outcomes, it can precisely capture cancer by type and subtype.
