Artificial Intelligence in Radiology

Artificial Intelligence (AI), also called Machine intelligence, is a field of computer science which demonstrate the intelligence of machines that work and act like the natural intelligence displayed by humans and other animals. They are designed to mimic the cognitive functions of human minds, such as speech recognition, learning, planning, and problem-solving. In the field of radiology, Artificial Intelligence (AI) has brought remarkable changes just as it has modified many other aspects of our lives. Earlier, the radiologists visually assessed medical images for the detection and monitoring of diseases but through AI methods, it has become possible for automatic recognition of complex patterns in medical imaging data and providing quantitative, instead of subjective, assessments of radiographic characteristics. Within oncology, radiomics tools with AI assist for clinical decision making related to the diagnosis and risk stratification of different cancers. Initial steps are already in place using this technology but deeply integrated use of artificial intelligence (AI) tools throughout all of the radiology are still years away.

 

  • Medical imaging such as computed tomography (CT), positron emission tomography (PET) and magnetic resonance imaging (MRI)
  • Computer-aided detection (CADe) systems for detection of cancer

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