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editorial
. 2024 Mar 1;21(1-3):10–12.

TABLE 1.

Advantages and myths about artificial intelligence (AI) in the neurorehabilitation field

ADVANTAGES/MYTHS DESCRIPTION
Advantages
Remote monitoring and telemedicine Telemedicine is the first test field to protect the most fragile patients from the risks of prolonged hospitalization. Telemedicine platforms integrated with AI can provide real-time consultations, reducing travel burdens for patients and facilitating access to specialized care.
Customized treatment plans AI algorithms can address specific needs and optimize outcomes.
Predictive analytics AI can be used to predict demographics and resource allocation.
Objective assessment Accelerated engineering and analysis can help in expediting the processing of data-rich workflows.
Myths
AI is a single technology. AI is an umbrella term that encompasses a wide range of technologies and techniques, including machine learning, natural language processing, and robotics.
AI can think and act like humans. While AI can perform tasks that were previously thought to require human intelligence, it does so in a different way than humans do. AI systems are designed to perform specific tasks and do not have the ability to think or act outside of their programming.
AI will replace all jobs. AI is a supportive tool that enhances the capabilities of human clinicians rather than replacing them. It can assist in decision-making and provide valuable insights, but human expertise and judgment remain critical for neurorehabilitation.
AI is infallible. AI systems can make mistakes, and their performance can vary depending on the quality of the data they are trained on and the algorithms they use. It is important to understand the limitations of AI systems and use them in a responsible manner.
AI is only for large corporations. AI technologies are becoming more accessible and affordable, making them increasingly available.
There is a lack of ethical considerations. AI implementation in neurorehabilitation raises ethical concerns, including data privacy, bias, and patient autonomy. These considerations must be addressed and carefully managed to ensure responsible and equitable use of AI technologies.