And the Spirit & the bride say, come.... Reveaaltion 22:17

And the Spirit & the bride say, come.... Reveaaltion 22:17
And the Spirit & the bride say, come...Revelation 22:17 - May We One Day Bow Down In The DUST At HIS FEET ...... {click on blog TITLE at top to refresh page}---QUESTION: ...when the Son of man cometh, shall he find faith on the earth? LUKE 18:8

Sunday, June 11, 2023

Health Note - A Positive Use for AI

In the wrong hands AI can br dangerous---used for nefarious means.
But it can also be used for good.
The problem with us humans, with our fallen nature is  The heart is deceitful above all things, and desperately wicked... Jeremiah 17:9
Here is a positive use:
"In a large study of thousands of mammograms, artificial intelligence (AI) algorithms outperformed the standard clinical risk model for predicting the five-year risk for breast cancer. The results of the study were published in Radiology, a journal of the Radiological Society of North America (RSNA).
A woman’s risk of breast cancer is typically calculated using clinical models such as the Breast Cancer Surveillance Consortium (BCSC) risk model, which uses self-reported and other information on the patient—including age, family history of the disease, whether she has given birth, and whether she has dense breasts—to calculate a risk score.
Dr. Arasu used data associated with negative (showing no visible evidence of cancer) screening 2D mammograms performed at Kaiser Permanente Northern California in 2016. Of the 324,009 women screened in 2016 who met eligibility criteria, a random sub-cohort of 13,628 women was selected for analysis. Additionally, all 4,584 patients from the eligibility pool who were diagnosed with cancer within five years of the original 2016 mammogram were also studied. All the women were followed until 2021.
Using the 2016 screening mammograms, risk scores for breast cancer over the five-year period were generated by five AI algorithms, including two academic algorithms used by researchers and three commercially available algorithms. The risk scores were then compared to each other and to the BCSC clinical risk score
All five AI algorithms performed better than the BCSC risk model for predicting breast cancer risk at 0 to 5 years,” Dr. Arasu said. “This strong predictive performance over the five-year period suggests AI is identifying both missed cancers and breast tissue features that help predict future cancer development. Something in mammograms allows us to track breast cancer risk. This is the ‘black box’ of AI.” 
SciTech Daily