<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Morrison SL</submitter><funding>NEI NIH HHS</funding><pagination>401-409</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8931675</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>140(4)</volume><pubmed_abstract>&lt;h4>Importance&lt;/h4>Artificial intelligence (AI)-based retinopathy of prematurity (ROP) screening may improve ROP care, but its cost-effectiveness is unknown.&lt;h4>Objective&lt;/h4>To evaluate the relative cost-effectiveness of autonomous and assistive AI-based ROP screening compared with telemedicine and ophthalmoscopic screening over a range of estimated probabilities, costs, and outcomes.&lt;h4>Design, setting, and participants&lt;/h4>A cost-effectiveness analysis of AI ROP screening compared with ophthalmoscopy and telemedicine via economic modeling was conducted. Decision trees created and analyzed modeled outcomes and costs of 4 possible ROP screening strategies: ophthalmoscopy, telemedicine, assistive AI with telemedicine review, and autonomous AI with only positive screen results reviewed. A t</pubmed_abstract><journal>JAMA ophthalmology</journal><pubmed_title>Cost-effectiveness of Artificial Intelligence-Based Retinopathy of Prematurity Screening.</pubmed_title><pmcid>PMC8931675</pmcid><funding_grant_id>R01 EY031331</funding_grant_id><funding_grant_id>R01 EY019474</funding_grant_id><pubmed_authors>Chan RVP</pubmed_authors><pubmed_authors>Morrison SL</pubmed_authors><pubmed_authors>Chiang MF</pubmed_authors><pubmed_authors>Campbell JP</pubmed_authors><pubmed_authors>Dukhovny D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Cost-effectiveness of Artificial Intelligence-Based Retinopathy of Prematurity Screening.</name><description>&lt;h4>Importance&lt;/h4>Artificial intelligence (AI)-based retinopathy of prematurity (ROP) screening may improve ROP care, but its cost-effectiveness is unknown.&lt;h4>Objective&lt;/h4>To evaluate the relative cost-effectiveness of autonomous and assistive AI-based ROP screening compared with telemedicine and ophthalmoscopic screening over a range of estimated probabilities, costs, and outcomes.&lt;h4>Design, setting, and participants&lt;/h4>A cost-effectiveness analysis of AI ROP screening compared with ophthalmoscopy and telemedicine via economic modeling was conducted. Decision trees created and analyzed modeled outcomes and costs of 4 possible ROP screening strategies: ophthalmoscopy, telemedicine, assistive AI with telemedicine review, and autonomous AI with only positive screen results reviewed. A t</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Apr</publication><modification>2025-04-04T12:28:57.092Z</modification><creation>2025-04-04T12:28:57.092Z</creation></dates><accession>S-EPMC8931675</accession><cross_references><pubmed>35297945</pubmed><doi>10.1001/jamaophthalmol.2022.0223</doi></cross_references></HashMap>