{"id":"AIBD-0613","title":"Transpara-supported mammography screening cut screen-reading workload by 44% and found more cancers in the Swedish MASAI randomized trial","summary":"In the MASAI trial of 105,934 women in Sweden, Transpara-guided triage cut screen readings by 44.2% and raised cancer detection from 5.0 to 6.4 per 1,000.","date_observed":"2022-12-07","date_basis":"event","date_precision":"day","benefit_status":"reported","source_collection":null,"source_entry":null,"account":"The MASAI trial randomized 105,934 women screened at four sites in southwest Sweden (Malmö, Lund, Landskrona and Trelleborg) between 12 April 2021 and 7 December 2022. In the intervention arm, Transpara version 1.7.0 scored each examination, and the score decided whether one or two radiologists read it. The software also marked suspicious findings. The control arm used standard double reading without AI. The AI arm needed 61,248 screen readings against 109,692 in the control arm, a 44.2% reduction in workload. Cancer detection was 6.4 per 1,000 women with AI support and 5.0 per 1,000 without, with more small node-negative invasive cancers found. A later analysis found that the interval cancer rate with AI was non-inferior and that sensitivity was higher (80.5% against 73.8%), with equal specificity. Lund University researchers led the trial with funding from the Swedish Cancer Society and Swedish government research funds.","category":"general benefit","unexpected":false,"purpose":"Transpara is built to score mammograms for cancer risk and mark suspicious findings. Using its score to triage exams to single or double reading was the trial's way of cutting workload, which is a stated aim.","system":"Transpara","model_version":"Transpara version 1.7.0","developer":"ScreenPoint Medical","deployer":"Swedish national breast screening programme at Skåne University Hospital and Unilabs mammography units (MASAI trial, Lund University)","location":"Four screening sites in southwest Sweden: Malmö, Lund, Landskrona and Trelleborg","domain":"Healthcare","segment":null,"benefit_type":"Improved Organizational Efficiency","taxonomy_note":null,"registry_ids":{},"ratings":[{"group":"organizational","depth":2,"reason":"Screen-reading workload fell by 44.2% (61,248 against 109,692 readings)."},{"group":"personal","depth":2,"reason":"Cancer detection rose from 5.0 to 6.4 per 1,000 women screened, and sensitivity rose from 73.8% to 80.5%."}],"ai_role":{"status":"assessed","statement":"Women were randomized by the picture archive system to AI-supported reading or standard double reading, so the trial isolates the AI-supported protocol. The protocol combines triage with detection marks, and the trial does not separate the two."},"evidence":[{"kind":"peer-reviewed study","citation":"Ciurescu S, Buciu V, Ilaș DG, et al. Ten Years of Artificial Intelligence in Screening Mammography: A Systematic Review and Meta-Analysis of Diagnostic Accuracy and Clinical Implementation (Literature Published 2015-2025). Diagnostics 2026;16:3045. doi:10.3390/diagnostics16183045. Independent review by authors at Victor Babeș University, Timișoara.","title":"Ten Years of Artificial Intelligence in Screening Mammography: A Systematic Review and Meta-Analysis of Diagnostic Accuracy and Clinical Implementation","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13605948/","date":"2026-09-25","written_by":"independent","quote":"with the MASAI randomised trial alone reporting 1.29 (1.09-1.51) and a 44% reduction in screen reading"},{"kind":"peer-reviewed study","citation":"Hernström V, Josefsson V, Sartor H, et al. Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, single-blinded, screening accuracy study. Lancet Digital Health 2025;7(3):e175-e183. Written by Lund University and Skåne University Hospital radiologists who ran the screening; abstract read. Co-author Solveig Hofvind heads BreastScreen Norway at the Cancer Registry of Norway, which the authors declare has a research agreement with ScreenPoint Medical.","title":"Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI)","url":"https://europepmc.org/abstract/MED/39904652","date":"2025-03-01","written_by":"deployer","quote":"There were 61 248 screen readings in the intervention group and 109 692 in the control group, resulting in a 44·2% reduction in the screen-reading workload."},{"kind":"peer-reviewed study","citation":"Gommers J, Hernström V, Josefsson V, et al. Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study. The Lancet 2026. doi:10.1016/S0140-6736(25)02464-X. Abstract read. Co-author Solveig Hofvind heads BreastScreen Norway at the Cancer Registry of Norway, which the authors declare has a research agreement with ScreenPoint Medical.","title":"Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study","url":"https://europepmc.org/abstract/MED/41620232","date":"2026-01-01","written_by":"deployer","quote":"Sensitivity was higher in the intervention group (80·5% [95% CI 76·4-84·2]) than the control group (73·8% [68·9-78·3]; p=0·031)"}],"replication":{"produced_by":["Transpara scores decided whether one or two radiologists read each examination.","Radiologists saw the software's marks on suspicious findings."],"must_hold":["A screening programme with standard double reading to replace.","Radiologists act on the risk score and marks."],"echoes":[{"date":null,"setting":"Reina Sofía University Hospital, Córdoba, Spain, paired trial of Transpara triage and reading support (one author from ScreenPoint Medical)","model_version":null,"outcome":"recurred","source":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13099413/"}]},"paired_incident":null,"headline":"*Transpara* cut mammogram reading work in a Swedish randomized trial","metric":"a 44.2% reduction in workload","comparator":{"against":"Women randomized to standard double reading without AI","before":"109,692 screen readings","after":"61,248 screen readings","basis":"measured","quote":"There were 61 248 screen readings in the intervention group and 109 692 in the control group, resulting in a 44·2% reduction in the screen-reading workload.","url":"https://europepmc.org/abstract/MED/39904652"},"later":{"status":"persisted","date":"2026-01-01","note":"The interval cancer analysis found a non-inferior interval cancer rate and higher sensitivity with AI support.","quote":"Sensitivity was higher in the intervention group (80·5% [95% CI 76·4-84·2]) than the control group (73·8% [68·9-78·3]; p=0·031)","url":"https://europepmc.org/abstract/MED/41620232"},"value":null,"developer_country":"Netherlands","deployer_country":"Sweden","unrated_because":null,"brief_notes":null,"brief":null,"revisions":[{"date":"2026-10-29","change":"Added the case.","source":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13605948/","editor":"AIBD"}],"confidence":"studied","shade":"high","claim_status":"Independently studied","claim_basis":"Sources: one independent peer-reviewed study and two peer-reviewed studies from the deployer. 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