Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgement.

CONCLUSIONS: The study proves that the algorithm can efficiently guide clinical practice and improve the accuracy of the diagnosis of FTD whilst making the process of auditing faster and more economically viable. PMID: 30952029 [PubMed - as supplied by publisher]
Source: Advances in Medical Sciences - Category: Biomedical Science Authors: Tags: Adv Med Sci Source Type: research