Computer aided diagnosis
Updates to Article Attributes
Computer Aided Diagnosisaided diagnosis (CAD) is the use of a computer generated output as an assisting tool for a clinician to make a diagnosis. It is different tofrom automated computer diagnosis, in which the end diagnosis is based on a computer algorithm only. Computer
As an early form of artificial intelligence, computer aided diagnosis has alreadysystems have been used extensively within radiology for many years 1-3. The most common applications are for detection of breast cancer on mammography and of pulmonary nodules on chest CT 3. These systems traditionally relied on manual feature engineering based on domain knowledge, itbut newer approaches are employing machine learning to discover latent features within imaging data.
The term is a powerful tool ascommonly used broadly to both computer algorithms-aided detection and clinicians complement each othercomputer-aided diagnosis 3:
- computer-aided detection (CADe): marks specific areas of images that may seem abnormal, designed to reduce missing pathologies of interest
-
computer-aided diagnosis (CADx): helps a practitioner assess and classify pathology in
a way which improves the accuracy of a diagnosis.medical images
-<p><strong>Computer Aided Diagnosis (CAD)</strong> is the use of a computer generated output as an assisting tool for a clinician to make a diagnosis. It is different to automated computer diagnosis, in which the end diagnosis is based on a computer algorithm only. Computer aided diagnosis has already been used extensively within radiology, it is a powerful tool as computer algorithms and clinicians complement each other in a way which improves the accuracy of a diagnosis.</p>- +<p><strong>Computer aided diagnosis (CAD)</strong> is the use of a computer generated output as an assisting tool for a clinician to make a diagnosis. It is different from automated computer diagnosis, in which the end diagnosis is based on a computer algorithm only.</p><p>As an early form of <a href="/articles/artificial-intelligence">artificial intelligence</a>, computer aided diagnosis systems have been used extensively within radiology for many years <sup>1-3</sup>. The most common applications are for detection of <a href="/articles/breast-neoplasms">breast cancer</a> on <a href="/articles/mammography">mammography</a> and of <a title="Pulmonary nodules" href="/articles/pulmonary-nodule-1">pulmonary nodules</a> on chest CT <sup>3</sup>. These systems traditionally relied on manual feature engineering based on domain knowledge, but newer approaches are employing <a href="/articles/machine-learning-1">machine learning</a> to discover latent features within imaging data.</p><p>The term is commonly used broadly to both computer-aided detection and computer-aided diagnosis <sup>3</sup>:</p><ul>
- +<li>computer-aided detection (CADe): marks specific areas of images that may seem abnormal, designed to reduce missing pathologies of interest</li>
- +<li>computer-aided diagnosis (CADx): helps a practitioner assess and classify pathology in medical images</li>
- +</ul>
References changed:
- 1. Doi K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. (2007) Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 31 (4-5): 198-211. <a href="https://doi.org/10.1016/j.compmedimag.2007.02.002">doi:10.1016/j.compmedimag.2007.02.002</a> - <a href="https://www.ncbi.nlm.nih.gov/pubmed/17349778">Pubmed</a> <span class="ref_v4"></span>
- 2. European Society of Radiology. What the radiologist should know about artificial intelligence - an ESR white paper. (2019) Insights into imaging. 10 (1): 44. <a href="https://doi.org/10.1186/s13244-019-0738-2">doi:10.1186/s13244-019-0738-2</a> - <a href="https://www.ncbi.nlm.nih.gov/pubmed/30949865">Pubmed</a> <span class="ref_v4"></span>
- 3. Takahashi R, Kajikawa Y. Computer-aided diagnosis: A survey with bibliometric analysis. (2017) International journal of medical informatics. 101: 58-67. <a href="https://doi.org/10.1016/j.ijmedinf.2017.02.004">doi:10.1016/j.ijmedinf.2017.02.004</a> - <a href="https://www.ncbi.nlm.nih.gov/pubmed/28347448">Pubmed</a> <span class="ref_v4"></span>
- 1. Doi K. Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. Computerized Medical Imaging and Graphics. 2007;31(4-5):198-211. doi:10.1016/j.compmedimag.2007.02.002
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