Using Machine Learning to Predict Response to Inpatient Rehabilitation for FND Patients
Aims: Technology has been rapidly expanding in the medical field, of late, AI has been adopted cautiously and is slowly being integrated to practice. Functional Neurological Disorder (FND) patients have a variety of different presentations and premorbid conditions that greatly affect their response...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2025-06-01
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| Series: | BJPsych Open |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2056472425104493/type/journal_article |
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| Summary: | Aims: Technology has been rapidly expanding in the medical field, of late, AI has been adopted cautiously and is slowly being integrated to practice. Functional Neurological Disorder (FND) patients have a variety of different presentations and premorbid conditions that greatly affect their response to rehabilitation. Currently, there is no admission formula or criteria available that can assist the assessing clinician on suitability for inpatient rehabilitation regarding rehabilitation prognosis. |
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| ISSN: | 2056-4724 |