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  1. Jo Stevenson 215 Community Answer

    According to the National Cancer Institute, biomedical engineers have instructed computers to spot cancerous lesions on tissue scans and images. It looks like at this point, AI is being used primarily to spot lung, breast, and cervical cancers. Computers are less biased than people and can take in a lot more information in a shorter period of time, meaning they can spot inconsistencies faster and more accurately. This means less time waiting for results, more time to treat the cancer.


    According to NIH, there was a 7-year study done in which human gynecologists visually identified 69% of positive cervical cancers and a deep-learning AI program identified 91%. That's a lot of people who wouldn't have had their cancers identified. The life-saving potential here is pretty exciting. Best of all, this works really well in low-resource settings where there simply aren't enough skilled cancer specialists or tools. 


    Not that AI is infallible. This is only one study. There are many more around the world, not all with such amazing results. And let's not forget that CAPTCHAs are super easy for people, but computers still can't tell you if a picture has a street sign or not. AI still has a long way to go and machine learning/deep learning is still growing.


    And of course, all the actual treatment is left up to people. AI and ML can only do so much, but so far, they're looking promising when it comes to saving time and saving lives.


    https://www.cancer.gov/research/areas/diagnosis/artificial-intelligence


    UTC 2021-04-15 04:26 PM 0 Comments
  2. Artificial intelligence (AI) is rapidly changing the way we diagnose, treat, and prevent cancer. AI-powered tools are being used to:

    • Screen for cancer: AI can be used to analyze medical images, such as mammograms and MRI scans, to detect cancer at an earlier stage, when it is more treatable.
    • Diagnose cancer: AI can be used to analyze tumor tissue samples to identify the type of cancer and its genetic mutations. This information can help doctors choose the most effective treatment options.
    • Personalize treatment: AI can be used to analyze a patient's individual tumor profile to develop a personalized treatment plan. This approach has the potential to improve outcomes and reduce side effects.
    • Develop new drugs: AI can be used to screen large libraries of molecules to identify those that are likely to be effective against cancer. This approach has the potential to accelerate the development of new cancer drugs.
    • Improve patient care: AI can be used to develop tools that help doctors make better decisions about cancer care. For example, AI can be used to predict which patients are at risk of developing cancer, or to identify patients who are most likely to benefit from a particular treatment

     

    Machine learning (ML) is a type of AI that allows computers to learn without being explicitly programmed. ML is being used to develop many of the AI-powered tools that are being used in cancer research and care. For example, ML is being used to develop algorithms that can automatically detect cancer in medical images, and to develop models that can predict which patients are most likely to benefit from a particular treatment.

    The use of AI in cancer research and care is still in its early stages, but it has the potential to revolutionize the way we fight this disease. By automating tasks, identifying patterns, and making predictions, AI can help us to diagnose cancer earlier, develop more effective treatments, and improve patient care.

    UTC 2023-04-21 08:21 PM 0 Comments

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