Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting.

Publication date: Jul 13, 2023

Advances in artificial intelligence have cultivated a strong interest in developing and validating the clinical utilities of computer-aided diagnostic models. Machine learning for diagnostic neuroimaging has often been applied to detect psychological and neurological disorders, typically on small-scale datasets or data collected in a research setting. With the collection and collation of an ever-growing number of public datasets that researchers can freely access, much work has been done in adapting machine learning models to classify these neuroimages by diseases such as Alzheimer’s, ADHD, autism, bipolar disorder, and so on. These studies often come with the promise of being implemented clinically, but despite intense interest in this topic in the laboratory, limited progress has been made in clinical implementation. In this review, we analyze challenges specific to the clinical implementation of diagnostic AI models for neuroimaging data, looking at the differences between laboratory and clinical settings, the inherent limitations of diagnostic AI, and the different incentives and skill sets between research institutions, technology companies, and hospitals. These complexities need to be recognized in the translation of diagnostic AI for neuroimaging from the laboratory to the clinic.

Open Access PDF

Concepts Keywords
Alzheimer Aided
Autism Artificial
Cultivated Clinical
Hospitals Computer
Neuroimaging Cultivated


Type Source Name
disease MESH neurological disorders
disease MESH ADHD
disease MESH autism
disease MESH bipolar disorder
pathway REACTOME Translation
disease MESH intracranial hemorrhages
drug DRUGBANK Sulodexide
disease MESH brain disorders
drug DRUGBANK Spinosad
disease MESH multiple sclerosis
drug DRUGBANK Coenzyme M
disease MESH neurodegenerative disorders
disease MESH psychiatric disorders
disease MESH dementia
disease MESH tumors
disease MESH hemorrhages
disease MESH anomalies
drug DRUGBANK Nonoxynol-9
disease MESH Mild Cognitive Impairment
disease MESH autism spectrum disorder
disease MESH anxiety disorders
disease MESH psychotic disorders
disease MESH rare diseases
drug DRUGBANK Flunarizine
drug DRUGBANK Trestolone
disease MESH aids
disease MESH cerebral hemorrhage
disease MESH stroke
disease MESH schizophrenia
disease MESH Brain tumor
disease MESH sclerosis
disease MESH uncertainty
disease MESH Alzheimer disease
pathway KEGG Alzheimer disease
disease MESH Lifestyle
disease MESH frontotemporal dementia
disease MESH COVID 19
drug DRUGBANK Etoperidone
disease MESH glioma
pathway KEGG Glioma

Original Article

(Visited 1 times, 1 visits today)

Leave a Comment

Your email address will not be published. Required fields are marked *