How AI can improve health for everyone, everywhere

 

These figures reflect the potential benefits that artificial intelligence in healthcare can bring to the field of healthcare. 

Adam Yala, an associate professor of computational precision health and EECS at the Universities of California, Berkeley and San Francisco, asserts that "the promise of AI in healthcare is very high." However, achieving a proven clinical usage will require a significant amount of work in terms of full-scale, practical execution. 

Yala stated, "AI is giving us exciting possibilities, from screening to survivorship." "To create better screening guidelines, hone those algorithms, and increase their efficacy." The most effective instrument we have for that is AI.

The capacity to detect cancer earlier, optimize staffing to lower attrition and fatigue, enhance the quality of life for individuals battling the disease, and raise the survival rate are some of the legitimate promises of AI.

Yala used breast cancer as an example of the number of data pieces you need to comprehend in order to determine your risk of developing the illness. These include breast tissue density, mammography data, family history, and abnormalities on other imaging modalities. You need to combine high-risk MRI and CT scan markers with hundreds of thousands of mammograms, each with tens of millions of pixels, to produce patterns that suggest a higher risk of breast cancer.