Medical imaging and diagnostics have been revolutionised by computer-aided detection (CAD), which increases the speed and accuracy of finding anomalies. However, CAD has its drawbacks and restrictions, and for it to be used effectively, a thorough examination of these problems is essential.

The high percentage of false positives in CAD is one of its major problems. Many aberrant results can be found using CAD algorithms, however, not all of them may have clinical significance. In addition to potentially harming patients, this may need unnecessary follow-up tests and raise expenditures. The fact that CAD systems are frequently created to identify particular kinds of defects might also restrict their applicability for more general diagnostic objectives.

The reliance on CAD for picture quality is another drawback. The CAD findings can be inaccurate as a result of poor picture quality, and certain abnormalities can even go undetected. This can be particularly challenging in places with poor access to advanced imaging technology.

Additionally, CAD may lead to a dependence on technology and a reduction in the role of the radiologist, which might result in diagnostic mistakes. It is crucial to understand that CAD is a help, not a replacement, for the radiologist.

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