Digital Twin for Neurology: An Introduction to a New Frontier in Healthcare
Raheem, Mohamed Mahees Chishti, Mohammad Ahsan Ashraf, Taniya
Raheem, Mohamed Mahees
Chishti, Mohammad Ahsan
Ashraf, Taniya
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2024-03-21
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Abstract
A digital twin (DT) is a virtual representation of a real thing that features two-way interactive links connecting the physical object and its digital twin. Significant improvements in healthcare, notably in the area of neurology, are being made because of DT technology. Clinicians can mimic therapies and track disease progression in real-time using DTs to build a virtual duplicate of the brain and neural systems. Digital twins can also aid scientists and medical professionals in comprehending the progression and onset of neurological illnesses, which can lead to the development of more efficient treatments for ailments. The development of digital twins can help healthcare professionals manage large amounts of patient data by standardizing the integration of data from various sources, implementing individualized clinical pathways, fostering physician-patient communication, and promoting shared decision-making. This paper explores the concept of Digital Twin technology and its key features, as well as the services it offers for healthcare. The focus then shifts to specific applications of DTs in neurology, including Mild Cognitive Impairment and Alzheimer’s Disease, multiple sclerosis, stroke, migraine, and epilepsy. The paper also discusses the challenges of implementing digital twins in healthcare, such as data privacy and security, data management, and ethical concerns as well as the potential future direction of DT in neurology to enhance diagnosis and treatment plans.