Brilliant Ways Artificial Intelligence Can Help In Cancer Diagnosis

Artificial Intelligence  Diagnosis Cancer

The lack of early cancer diagnoses is a real problem. It’s estimated that 169.3 million years of healthy life have been lost to cancer in 2008, and so many cancer cases are completely preventable through early diagnosis.

Of course, for deadly cancers like mesothelioma this is much tougher because the latency period can take up to 50 years.

And it’s incredibly aggressive so early diagnosis won’t always guarantee the survival of the patient. The world’s longest mesothelioma survivor Paul Kraus shares extensive information on the disease here.

But it can help. Artificial intelligence is making significant inroads into the problem.

1) The Performance Of Artificial Intelligence

Using artificial intelligence has already been tested with breast cancer diagnoses and the results were stunning. Physicians found that artificial intelligence nodes were capable at diagnosing breast cancer to the same level as or even exceeding human professionals.

There’s clear evidence to show that artificial intelligence nodes may be able to perform the role of a doctor to a suitable level.

The Performance Of Artificial Intelligence

2) Making Doctors Perform Better

It’s not necessary for artificial intelligence systems to begin replacing human doctors. And there are no signs that this is something ordinary patients want.

But artificial intelligence can make doctors perform better. They can assist in diagnostics by recalling data and automatically learning from previous cases that a human doctor may not remember.

It may be able to filter thousands of previous cases to provide a more precise diagnosis. For example, it could inform a doctor exactly which type of mesothelioma a patient has or how long they’re likely to survive mesothelioma for.

3) Learning And Getting Better

Doctors always need to train so they stay sharp. The difference between doctors and artificial intelligence systems is that an intelligent computer system is training as it’s performing. That will ultimately make it sharper and more adept at doing its job.

As described above, it will be able to use that knowledge to assist the physician so they can offer a better service.

Learning And Getting Better

4) Offering More Early Diagnosis

Whether it’s mesothelioma, breast, liver, or lung cancer, early diagnosis is difficult with stretched healthcare systems. We’re living longer and the number of patients is getting bigger faster than global healthcare systems can expand to deal with the increased demand.

So How Will Artificial Intelligence Help?

It makes doctors more efficient at what they do. An artificial intelligence system can examine and diagnose a patient faster, so doctors can pass on the information and decide what to do next.

Workflow efficiency will improve, which will allow more cancer patients to be diagnosed early. This could save lives as treatment can be delivered before the cancer spreads to other organs.

How Will Artificial Intelligence Help

Last Word ‘ Is There A Chance Of Human Doctors Being Replaced?

There’s little to no chance that human doctors will be replaced anytime soon. Human doctors are demanded by patients and they offer an emotional aspect that artificial intelligence will never be able to replicate.

But they will improve accuracy, efficiency, and boost the number of people who’re diagnosed early with all forms of cancers. This site keeps a score of real doctors versus AI and offers an illuminating insight into the subject.

Do you believe that artificial intelligence will make a big difference in medicine?

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Author: Amy

Amy is a freelance writer in the Midlands who writes specifically about health & well being on her own blog, After suffering from Bulimia for a few years, she taught herself the nutritional value of food and wanted to share her new found passion. By starting PurelyAmy, she now offers personal insights into general healthy eating habits through her qualifications in; nutrition and sports recovery. Follow Amy on Twitter, LinkedIn and Instagram.

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