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241. Prediction of mortality, bleeding, and ischaemic events in patients with cancer and acute coronary syndrome: a model development and validation study.
作者: Florian A Wenzl.;Kok Weng Ow.;Matthijs A Velders.;Freya Tyrer.;Lizz Paley.;Jennifer Lai.;Maria A Smolle.;Victor Schweiger.;Emil Hagström.;Mark A de Belder.;Peizhi Wang.;Antanas Gasys.;Moa Simonsson.;Clive Weston.;Davide Di Vece.;Christian Templin.;Hans Rickli.;Dragana Radovanovic.;Thomas M Suter.;Lorenz Räber.;Michael D Peake.;John Deanfield.;Stefan James.;David Adlam.;Thomas F Lüscher.
来源: Lancet. 2026年407卷10527期515-528页
Accurate assessment of mortality, bleeding, and atherothrombotic risk in patients with cancer and acute coronary syndrome could inform novel personalised treatment strategies, but no standardised tools for this purpose exist. We aimed to develop and validate a clinically applicable risk score for mortality, bleeding, and ischaemic events in patients with cancer and acute coronary syndrome.
242. Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial.
作者: Jessie Gommers.;Veronica Hernström.;Viktoria Josefsson.;Hanna Sartor.;David Schmidt.;Annie Hjelmgren.;Anna-Maria Larsson.;Solveig Hofvind.;Ingvar Andersson.;Aldana Rosso.;Oskar Hagberg.;Kristina Lång.
来源: Lancet. 2026年407卷10527期505-514页
Evidence indicates that artificial intelligence (AI) can improve mammography screening by increasing cancer detection and reducing screen reading workload, but its effect on interval cancers (primary breast cancers diagnosed between two screening rounds or within 2 years after the last scheduled screening that were not detected at screening) is unknown. We aimed to compare the interval cancer rate in AI-supported mammography screening with standard double reading without AI.
255. Winner of the 2025 Wakley-Wu Lien Teh Prize: beyond precision medicine.
作者: Esther Lau.;Helena Hui Wang.;Yuanyuan Wang.;Shangrong Han.;Jiefang Huang.;Pingyue Jin.;Haoyu Wang.;Peng Zhang.;Baoguo Jiang.;Richard Horton.
来源: Lancet. 2026年407卷10527期477-478页 259. Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER) in the UK: a cluster-randomised controlled implementation trial.
作者: Mihir A Kelshiker.;Patrik Bächtiger.;Camille F Petri.;Saloni Nakhare.;Josephine Mansell.;Karanjot Chhatwal.;Abdullah Alrumayh.;Jahed Zaman.;Moulesh Shah.;Holly Young.;Helena Roy.;Melanie T Almonte.;Céire Costelloe.;Yasmin Razak.;Azeem Majeed.;James P Howard.;Carys Barton.;Daniel B Kramer.;Carla M Plymen.;Nicholas S Peters.
来源: Lancet. 2026年407卷10529期704-715页
Early detection of cardiovascular disease is a global public health priority. Artificial intelligence (AI)-enabled stethoscopes offer robust performance characteristics in point-of-care detection of heart failure, atrial fibrillation, and valvular heart disease (VHD). We conducted a pragmatic, cluster-randomised controlled implementation trial to determine the real-world effect and implementation challenges of AI-stethoscopes.
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