{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["26"],"submitter":["Chan PZ"],"pubmed_abstract":["<h4>Background</h4>Current blood glucose monitoring (BGM) methods are often invasive and require repetitive pricking of a finger to obtain blood samples, predisposing individuals to pain, discomfort, and infection. Noninvasive blood glucose monitoring (NIBGM) is ideal for minimizing discomfort, reducing the risk of infection, and increasing convenience.<h4>Objective</h4>This review aimed to map the use cases of artificial intelligence (AI) in NIBGM.<h4>Methods</h4>A systematic scoping review was conducted according to the Arksey O'Malley five-step framework. Eight electronic databases (CINAHL, Embase, PubMed, Web of Science, Scopus, The Cochrane-Central Library, ACM Digital Library, and IEEE Xplore) were searched from inception until February 8, 2023. Study selection was conducted by 2 ind"],"journal":["Journal of medical Internet research"],"pagination":["e58892"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11615544"],"repository":["biostudies-literature"],"pubmed_title":["AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review."],"pmcid":["PMC11615544"],"pubmed_authors":["Jin E","Chan PZ","Chew HSJ","Jansson M"],"additional_accession":[]},"is_claimable":false,"name":"AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review.","description":"<h4>Background</h4>Current blood glucose monitoring (BGM) methods are often invasive and require repetitive pricking of a finger to obtain blood samples, predisposing individuals to pain, discomfort, and infection. Noninvasive blood glucose monitoring (NIBGM) is ideal for minimizing discomfort, reducing the risk of infection, and increasing convenience.<h4>Objective</h4>This review aimed to map the use cases of artificial intelligence (AI) in NIBGM.<h4>Methods</h4>A systematic scoping review was conducted according to the Arksey O'Malley five-step framework. Eight electronic databases (CINAHL, Embase, PubMed, Web of Science, Scopus, The Cochrane-Central Library, ACM Digital Library, and IEEE Xplore) were searched from inception until February 8, 2023. Study selection was conducted by 2 ind","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Nov","modification":"2025-04-27T02:15:58.141Z","creation":"2025-04-06T18:32:04.094Z"},"accession":"S-EPMC11615544","cross_references":{"pubmed":["39561353"],"doi":["10.2196/58892"]}}