Artificial intelligence
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Artificial intelligence (AI) is the "branch of computer science dealing with the simulation of intelligent behaviour in computers" 1. AI algorithms and in particular deep learning (part of machine learning) aim to either assist humans with solving a problem or solve the problem without human input. The exponential increase in computational processing and memory capability has opened up the potential for AI to handle much larger datasets, including those required in radiology.
The term AI encompasses numerous other specific approaches, including:
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computer-aided diagnosis (CAD): commonly used broadly to include both computer-aided detection and computer-aided diagnosis
- computer-aided detection (CADe): can be used to mark specific areas of images and often assists in highlighting areas which may seem abnormal in the data (including pathological findings)
- computer-aided diagnosis (CADx): helps a practitioner identify and classify pathology in medical data such as medical images
- machine learning
- natural language processing
- rule-based expert systems
- radiomics
- reduction of noise and optimisation of image acquisition
-<p><strong>Artificial intelligence (AI) </strong>is the "branch of computer science dealing with the simulation of intelligent behaviour in computers" <sup>1</sup>. AI algorithms and in particular deep learning (part of <a href="/articles/machine-learning-1">machine learning</a>) aim to either assist humans with solving a problem or solve the problem without human input. The exponential increase in computational processing and memory capability has opened up the potential for AI to handle much larger datasets, including those required in radiology.</p><p>The term AI encompasses numerous other specific approaches, including: </p><ul>- +<p><strong>Artificial intelligence (AI) </strong>is the "branch of computer science dealing with the simulation of intelligent behaviour in computers" <sup>1</sup>. AI algorithms and in particular deep learning (part of <a title="Machine learning" href="/articles/machine-learning-1">machine learning</a>) aim to either assist humans with solving a problem or solve the problem without human input. The exponential increase in computational processing and memory capability has opened up the potential for AI to handle much larger datasets, including those required in radiology.</p><p>The term AI encompasses numerous other specific approaches, including: </p><ul>
-<a href="/articles/computer-aided-diagnosis-1">computer-aided diagnosis (CAD)</a>: commonly used broadly to include both computer-aided detection and computer-aided diagnosis<ul>- +<a title="Computer-aided diagnosis (CAD)" href="/articles/computer-aided-diagnosis-1">computer-aided diagnosis (CAD)</a>: commonly used broadly to include both computer-aided detection and computer-aided diagnosis<ul>
-<li><a href="/articles/natural-language-processing">machine learning</a></li>-<li><a href="/articles/rule-based-expert-systems">natural language processing</a></li>-<li><a href="/articles/radiomics">rule-based expert systems</a></li>-<li><a href="/articles/radiomics">radiomics</a></li>- +<li><a title="Machine learning" href="/articles/machine-learning-1">machine learning</a></li>
- +<li><a title="Natural language processing" href="/articles/natural-language-processing">natural language processing</a></li>
- +<li><a title="Rule-based expert systems" href="/articles/rule-based-expert-systems">rule-based expert systems</a></li>
- +<li><a title="Radiomics" href="/articles/radiomics">radiomics</a></li>
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