{"id":"AIBD-1124","title":"Region Skåne's priority council backs AI grading of eye photos in diabetes screening, expecting about 1,400 staff hours a year to be freed","summary":"Region Skåne's council backed AI grading of eye photos for people with diabetes and no known retinopathy. It judged the AI as precise as manual review and able to free about 1,400 hours a year.","date_observed":"2026-04-22","date_basis":"source publication","date_precision":"day","benefit_status":"mixed","source_collection":null,"source_entry":null,"account":"Region Skåne's Method and Priority Council asked whether the region should use AI to grade fundus photos of people with diabetes and no known retinopathy. It drew on a December 2025 review by HTA South, the assessment center for southern Sweden's health care region. On 22 April 2026, the council recommended that the region may use the software to pick out people who can keep their ordinary screening interval. It judged that the software can replace manual review with at least equal precision. That finding rests on four studies, which HTA South rated as low in certainty. Two used DAIRET by Retmarker, one used Aireen and one used an in-house model. The council expected about 1,400 hours a year to be freed for other eye care across four regions. It expected little or no change for the people screened. It could draw no conclusions on vision loss, blindness, recalls or cost-effectiveness. 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AI-baserad bildanalys vid screening för diabetesretinopati: en systematisk översikt och utvärdering av medicinska, hälsoekonomiska, etiska och organisatoriska aspekter. Rapport 2025:4, Lund, 17 December 2025. English abstract, Key Message.","title":"AI-baserad bildanalys vid screening för diabetesretinopati","url":"https://vardgivare.skane.se/siteassets/3.-kompetens-och-utveckling/sakkunniggrupper/hta/rapporter/2025/ai-baserad-bildanalys-vid-screening-for-diabetesretinopati.pdf","date":"2025-12-17","written_by":"independent","quote":"The health economic analysis assessed a scenario where replacing manual grading with AI could save 1,400 staff hours annually in the Southern Healthcare Region."}]}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["evidence"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"},"sources[].id":{"state":"value_present","value":{"kind":"identifiers","identifiers":["AIBD-1124-source-0001","AIBD-1124-source-0002"],"role":"Existing evidence items, in their original order"},"provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"review_state":"record_mapped","coverage":"complete"},"sources[].language":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"sources[].relationship":{"state":"value_present","value":{"kind":"record_fields","fields":{"evidence":[{"kind":"assessment report","citation":"Region Skåne, Metod- och prioriteringsrådet. Yttrande: AI-utvecklad automatiserad bildanalys av ögonbottenfotografier vid screening för diabetesretinopati. Dnr 2026-O000003, 22 April 2026. Metod- och prioriteringsrådets ställningstagande.","title":"AI-utvecklad automatiserad bildanalys av ögonbottenfotografier vid screening för diabetesretinopati","url":"https://vardgivare.skane.se/siteassets/3.-kompetens-och-utveckling/sakkunniggrupper/metod-och-prioriteringsradet/yttranden/yttrande-ai-bildanalys-retinopati-2026-04-22_jp.pdf","date":"2026-04-22","written_by":"independent","quote":"Region Skånes Metod- och prioriteringsråd rekommenderar att AI-utvecklad automatiserad bildanalys av ögonbottenfotografier kan användas vid screening av personer med diabetes utan tidigare känd diabetesretinopati för att identifiera personer som skall fortsätta kontroller med ordinarie screeningintervall."},{"kind":"assessment report","citation":"HTA syd (HTA South), Region Skåne. 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It judged the AI as precise as manual review and able to free about 1,400 hours a year.","account":"Region Skåne's Method and Priority Council asked whether the region should use AI to grade fundus photos of people with diabetes and no known retinopathy. It drew on a December 2025 review by HTA South, the assessment center for southern Sweden's health care region. On 22 April 2026, the council recommended that the region may use the software to pick out people who can keep their ordinary screening interval. It judged that the software can replace manual review with at least equal precision. That finding rests on four studies, which HTA South rated as low in certainty. Two used DAIRET by Retmarker, one used Aireen and one used an in-house model. The council expected about 1,400 hours a year to be freed for other eye care across four regions. It expected little or no change for the people screened. It could draw no conclusions on vision loss, blindness, recalls or cost-effectiveness. 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The council rated the evidence as low to moderate in quality and asked for structured follow-up of any adoption.","replication":{"produced_by":["The software graded fundus photographs that a nurse or ophthalmologist would otherwise review.","The studies compared the software's grading with grading by at least one person with relevant specialist competence."],"must_hold":["Each clinic integrates the software with its cameras and its medical records system.","The region follows up any adoption to track recalls, treatment and vision loss over time."],"echoes":[]}}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["account","replication"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"}},"summary":{"total":91,"addressed":91,"known":28,"reviewed":2,"reviewed_complete":2,"reviewed_partial":0,"record_mapped":26,"review_not_assessed":63,"not_assessed":0,"complete":false,"by_state":{"value_present":28,"not_reported":0,"unresolved":63,"not_assessed":0,"not_applicable":0,"withheld":0,"source_unavailable":0}}},"presentation_version":"f379daaeed0be7012e2199038c81cc5603ffd22e50fbba3e77adc3b10dcdd30f"}
