She says she was told that her mammogram shows microcalcifications and that she needs further testing. She's fearful, asking you, "Does this mean I have cancer?" How do you help her interpret her mammogram results and give her guidance? A thorough understanding of the significance of ...
AI will never be able to replace the human clinician's judgment and expertise. However, it will be able toingest and interpret data more quickly, with improved accuracy of its predictions over time. Studies have already validated the effectiveness ofAI-generated clinical summar...
approximately 2.8 million women have a mammogram as part of thebreast cancer screeningprogram in Germany. However, the results are not always easy to interpret. Therefore, about one in 20 women who undergo
There's a well-known anecdote where doctors in a statistics seminar were asked how they would interpret a positive cancer test result for a routine mammogram taken by an asymptomatic patient. They were told that the test has a sensitivity of 90% (10% false negative rate), a specificit...
used to make personalized treatment plans,” Philips CEO Frans Van Houten said. “It will help do diagnosis better, and through artificial intelligence and machine learning we can take these massive amounts of data and interpret what is going on and then get to the first and right treatment....
Other women in the study were however confident in looking up information online about their breast changes and used it to interpret and act upon their symptoms. Thesewomendid not view online health information as problematic nor did they express mistrust in "Dr. Google." Some even supplemented ...
To interpret the test result, express your prior probability of having COVID as anodds, and then multiply those odds by the Bayes factor. If you initially believed you had a 10% chance of having COVID, and you got a negative test result with a Bayes factor of 0.1x, you could multiply...
Women interpret and understand breast cancer risks differently and enact prevention practices within the parameters afforded by their social class positions. These findings are useful to inform improved public health approaches regarding both modifiable breast cancer risks and increasing mammography screening....
Non-professional subjects tended to recall the patients at high rates, even when the actual probably of cancer was at or near zero. Moreover, the recall rates closely reflected the subjects' estimations of cancer probability. Together, our results show that subjects interpret CAD system output ...
Grad-CAM (gradient-weighted class activation mapping) [109] is a technique used in computer vision and deep learning to visualize and interpret the regions of an image that are most influential in the prediction made by a convolutional neural network. Hence, in the proposed methodology, the ...