2021
DOI: 10.5492/wjccm.v10.i4.112
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Abstract: Artificial intelligence (AI) and digital twin models of various systems have long been used in industry to test products quickly and efficiently. Use of digital twins in clinical medicine caught attention with the development of Archimedes, an AI model of diabetes, in 2003. More recently, AI models have been applied to the fields of cardiology, endocrinology, and undergraduate medical education. The use of digital twins and AI thus far has focused mainly on chronic disease management, their application in the … Show more

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Cited by 9 publications
(5 citation statements)
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“…The application of the DT in medicine is mainly focused on chronic disease management. For example, in neurocritical care, current digital technologies focus on interpreting electroencephalogram (EEG), monitoring intracranial pressure, and simulating prognosis ( 36 ). It can interpret EEG by helping annotation tracking, detecting seizures, and identifying brain activation in unresponsive patients.…”
Section: Current Applications Of the Digital Twin In Medicinementioning
confidence: 99%
“…The application of the DT in medicine is mainly focused on chronic disease management. For example, in neurocritical care, current digital technologies focus on interpreting electroencephalogram (EEG), monitoring intracranial pressure, and simulating prognosis ( 36 ). It can interpret EEG by helping annotation tracking, detecting seizures, and identifying brain activation in unresponsive patients.…”
Section: Current Applications Of the Digital Twin In Medicinementioning
confidence: 99%
“…There also remain areas of potential testing that can further improve the development process and regulatory oversight of SaMDs. Some of these areas include: (I) self-awareness of limitations (AI algorithms if not trained appropriately, lack the concept of contextualizing and can often disregard important cues when those lay at or outside the limit of their competencies); (II) transparent logic ( 7 , 25 , 40 ) (moving away from black-box algorithms and providing a transparent interface to build clinical trust and engagement); and (III) auditability or accountability (providing independent means to evaluate the software’s continuing performance). The suggestions made above are by no means an extensive or complete list and there remains a plethora of issues that need close regulatory oversight.…”
Section: Current Oversight Overview Standards and Recommendations For...mentioning
confidence: 99%
“…Our group has previously created a digital twin model to predict acute response to the treatment of sepsis. It has identified the potential for applying such models to augment clinical education and potentially clinical decision-making in the field of NCC [ 28 , 29 ]. This project expands on our previous work by demonstrating the methodical use of DELPHI consensus to establish a foundational set of expert rules for use in developing a similar causal digital twin model of acute ischemic stroke in the Neuro Critical Care unit that will be based on a transparent mechanistic understanding of underlying pathophysiology.…”
Section: Introductionmentioning
confidence: 99%