Please use this identifier to cite or link to this item: https://doi.org/10.1136/bmjopen-2023-077219
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dc.titleCURATE.AI COR-Tx platform as a digital therapy and digital diagnostic for cognitive function in patients with brain tumour postradiotherapy treatment: Protocol for a prospective mixed-methods feasibility clinical trial
dc.contributor.authorRemus, A
dc.contributor.authorTadeo, X
dc.contributor.authorKai, GNS
dc.contributor.authorBlasiak, A
dc.contributor.authorKee, T
dc.contributor.authorVijayakumar, S
dc.contributor.authorNguyen, L
dc.contributor.authorRaczkowska, MN
dc.contributor.authorChai, QY
dc.contributor.authorAliyah, F
dc.contributor.authorRusalovski, Y
dc.contributor.authorTeo, K
dc.contributor.authorYeo, TT
dc.contributor.authorWong, ALA
dc.contributor.authorChia, D
dc.contributor.authorAsplund, CL
dc.contributor.authorHo, D
dc.contributor.authorVellayappan, BA
dc.date.accessioned2024-01-08T00:18:11Z
dc.date.available2024-01-08T00:18:11Z
dc.date.issued2023-10-24
dc.identifier.citationRemus, A, Tadeo, X, Kai, GNS, Blasiak, A, Kee, T, Vijayakumar, S, Nguyen, L, Raczkowska, MN, Chai, QY, Aliyah, F, Rusalovski, Y, Teo, K, Yeo, TT, Wong, ALA, Chia, D, Asplund, CL, Ho, D, Vellayappan, BA (2023-10-24). CURATE.AI COR-Tx platform as a digital therapy and digital diagnostic for cognitive function in patients with brain tumour postradiotherapy treatment: Protocol for a prospective mixed-methods feasibility clinical trial. BMJ Open 13 (10) : e077219-. ScholarBank@NUS Repository. https://doi.org/10.1136/bmjopen-2023-077219
dc.identifier.issn2044-6055
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/246644
dc.description.abstractIntroduction Conventional interventional modalities for preserving or improving cognitive function in patients with brain tumour undergoing radiotherapy usually involve pharmacological and/or cognitive rehabilitation therapy administered at fixed doses or intensities, often resulting in suboptimal or no response, due to the dynamically evolving patient state over the course of disease. The personalisation of interventions may result in more effective results for this population. We have developed the CURATE.AI COR-Tx platform, which combines a previously validated, artificial intelligence-derived personalised dosing technology with digital cognitive training. Methods and analysis This is a prospective, single-centre, single-arm, mixed-methods feasibility clinical trial with the primary objective of testing the feasibility of the CURATE.AI COR-Tx platform intervention as both a digital intervention and digital diagnostic for cognitive function. Fifteen patient participants diagnosed with a brain tumour requiring radiotherapy will be recruited. Participants will undergo a remote, home-based 10-week personalised digital intervention using the CURATE.AI COR-Tx platform three times a week. Cognitive function will be assessed via a combined non-digital cognitive evaluation and a digital diagnostic session at five time points: preradiotherapy, preintervention and postintervention and 16-weeks and 32-weeks postintervention. Feasibility outcomes relating to acceptability, demand, implementation, practicality and limited efficacy testing as well as usability and user experience will be assessed at the end of the intervention through semistructured patient interviews and a study team focus group discussion at study completion. All outcomes will be analysed quantitatively and qualitatively. Ethics and dissemination This study has been approved by the National Healthcare Group (NHG) DSRB (DSRB2020/00249). We will report our findings at scientific conferences and/or in peer-reviewed journals. Trial registration number NCT04848935.
dc.publisherBMJ
dc.sourceElements
dc.subjectclinical trial
dc.subjectfeasibility studies
dc.subjectradiotherapy
dc.subjecttelemedicine
dc.subjectHumans
dc.subjectArtificial Intelligence
dc.subjectBrain Neoplasms
dc.subjectCognition
dc.subjectFeasibility Studies
dc.subjectProspective Studies
dc.typeArticle
dc.date.updated2024-01-04T01:49:51Z
dc.contributor.departmentBIOMEDICAL ENGINEERING
dc.contributor.departmentLIFE SCIENCES INSTITUTE
dc.contributor.departmentSURGERY
dc.contributor.departmentMEDICINE
dc.contributor.departmentYALE-NUS COLLEGE
dc.description.doi10.1136/bmjopen-2023-077219
dc.description.sourcetitleBMJ Open
dc.description.volume13
dc.description.issue10
dc.description.pagee077219-
dc.published.statePublished
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