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CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions: This article overviews ideas as to how to incorporate the range of prior knowledge and instantaneous sensory information from experts, sensors and actuators for use in computer-assisted interventions, as well as learning how to develop a representation of the surgery or intervention among a mixed human-AI team of actors. In addition, the design of interventional systems and associated cognitive shared control schemes for online uncertainty awareness when making decisions in the OR or the IR suite is discussed, and it is noted how this is critical for producing precise and reliable interventions.
Data-driven computational approaches have evolved to enable extraction of information from medical images with reliability, accuracy, and speed, which is already transforming their interpretation and exploitation in clinical practice. While similar benefits are longed for in the field of interventio...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
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IEEE
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952279/ https://www.ncbi.nlm.nih.gov/pubmed/31920208 http://dx.doi.org/10.1109/JPROC.2019.2946993 |