Harvard Medical School Develops New AI Tool that Forecasts Cancer Patient Survivability

Harvard Medical School Develops New AI Tool that Forecasts Cancer Patient Survivability

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Harvard Medical School has developed a new advanced AI tool that can improve cancer detection beyond the capabilities of the already existing diagnostic AI systems.

As reported by CBS News yesterday, the AI tool, which works more like ChatGPT, was developed by Harvard researchers to improve cancer diagnosis accuracy.

The revolutionary AI model was tested on 19 different types of cancers, including lung, prostate, breast, and colon cancer, and achieved an impressive 94% accuracy in cancer detection rate.

Unlike other AI tools being tested for cancer detection, the Harvard-made tool could forecast patients’ survival, raising hope for a more accurate cancer diagnosis and personalized prognosis based on the severity of the condition.

Once the tool has undergone thorough trials and its effectiveness validated, it could be deployed widely for real-world use in cancer diagnosis and prediction of prognosis in experimental cancer treatments.

Rising Cancer Cases

The developments come at a time when cancer cases are on the rise, with the World Health Organization predicting over 35 million new cases by 2050. This presents a 77% increase from the 20 million cases recorded in 2022, according g to the latest estimates released by the International Agency for Research on Cancer (IARC).

The growing cases of cancer highlight an increasing medical burden, with the underserved regions facing a disproportionate impact. This underscores the urgent need to develop new cost-effective diagnostic technologies and therapies that can be quickly adopted at an affordable cost in underserved regions.