These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

472 related articles for article (PubMed ID: 35750400)

  • 21. External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence.
    Hsu W; Hippe DS; Nakhaei N; Wang PC; Zhu B; Siu N; Ahsen ME; Lotter W; Sorensen AG; Naeim A; Buist DSM; Schaffter T; Guinney J; Elmore JG; Lee CI
    JAMA Netw Open; 2022 Nov; 5(11):e2242343. PubMed ID: 36409497
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study.
    Elhakim MT; Stougaard SW; Graumann O; Nielsen M; Lång K; Gerke O; Larsen LB; Rasmussen BSB
    Cancer Imaging; 2023 Dec; 23(1):127. PubMed ID: 38124111
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis.
    Yoon JH; Strand F; Baltzer PAT; Conant EF; Gilbert FJ; Lehman CD; Morris EA; Mullen LA; Nishikawa RM; Sharma N; Vejborg I; Moy L; Mann RM
    Radiology; 2023 Jun; 307(5):e222639. PubMed ID: 37219445
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection.
    Marinovich ML; Wylie E; Lotter W; Pearce A; Carter SM; Lund H; Waddell A; Kim JG; Pereira GF; Lee CI; Zackrisson S; Brennan M; Houssami N
    BMJ Open; 2022 Jan; 12(1):e054005. PubMed ID: 34980622
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study.
    Saha A; Bosma JS; Twilt JJ; van Ginneken B; Bjartell A; Padhani AR; Bonekamp D; Villeirs G; Salomon G; Giannarini G; Kalpathy-Cramer J; Barentsz J; Maier-Hein KH; Rusu M; Rouvière O; van den Bergh R; Panebianco V; Kasivisvanathan V; Obuchowski NA; Yakar D; Elschot M; Veltman J; Fütterer JJ; de Rooij M; Huisman H;
    Lancet Oncol; 2024 Jul; 25(7):879-887. PubMed ID: 38876123
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.
    Shen Y; Shamout FE; Oliver JR; Witowski J; Kannan K; Park J; Wu N; Huddleston C; Wolfson S; Millet A; Ehrenpreis R; Awal D; Tyma C; Samreen N; Gao Y; Chhor C; Gandhi S; Lee C; Kumari-Subaiya S; Leonard C; Mohammed R; Moczulski C; Altabet J; Babb J; Lewin A; Reig B; Moy L; Heacock L; Geras KJ
    Nat Commun; 2021 Sep; 12(1):5645. PubMed ID: 34561440
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation.
    Romero-Martín S; Elías-Cabot E; Raya-Povedano JL; Gubern-Mérida A; Rodríguez-Ruiz A; Álvarez-Benito M
    Radiology; 2022 Mar; 302(3):535-542. PubMed ID: 34904872
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study.
    Dembrower K; Crippa A; Colón E; Eklund M; Strand F;
    Lancet Digit Health; 2023 Oct; 5(10):e703-e711. PubMed ID: 37690911
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study.
    Lee JH; Kim KH; Lee EH; Ahn JS; Ryu JK; Park YM; Shin GW; Kim YJ; Choi HY
    Korean J Radiol; 2022 May; 23(5):505-516. PubMed ID: 35434976
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation.
    Hendrix N; Lowry KP; Elmore JG; Lotter W; Sorensen G; Hsu W; Liao GJ; Parsian S; Kolb S; Naeim A; Lee CI
    J Am Coll Radiol; 2022 Oct; 19(10):1098-1110. PubMed ID: 35970474
    [TBL] [Abstract][Full Text] [Related]  

  • 31. AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation.
    Raya-Povedano JL; Romero-Martín S; Elías-Cabot E; Gubern-Mérida A; Rodríguez-Ruiz A; Álvarez-Benito M
    Radiology; 2021 Jul; 300(1):57-65. PubMed ID: 33944627
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Differences and similarities in false interpretations by AI CAD and radiologists in screening mammography.
    Salim M; Dembrower K; Eklund M; Smith K; Strand F
    Br J Radiol; 2023 Nov; 96(1151):20230210. PubMed ID: 37660400
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.
    Rodríguez-Ruiz A; Krupinski E; Mordang JJ; Schilling K; Heywang-Köbrunner SH; Sechopoulos I; Mann RM
    Radiology; 2019 Feb; 290(2):305-314. PubMed ID: 30457482
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis.
    Kizildag Yirgin I; Koyluoglu YO; Seker ME; Ozkan Gurdal S; Ozaydin AN; Ozcinar B; Cabioğlu N; Ozmen V; Aribal E
    Technol Cancer Res Treat; 2022; 21():15330338221075172. PubMed ID: 35060413
    [No Abstract]   [Full Text] [Related]  

  • 35. Identifying normal mammograms in a large screening population using artificial intelligence.
    Lång K; Dustler M; Dahlblom V; Åkesson A; Andersson I; Zackrisson S
    Eur Radiol; 2021 Mar; 31(3):1687-1692. PubMed ID: 32876835
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Performance of artificial intelligence in 7533 consecutive prevalent screening mammograms from the BreastScreen Australia program.
    Waugh J; Evans J; Miocevic M; Lockie D; Aminzadeh P; Lynch A; Bell RJ
    Eur Radiol; 2024 Jun; 34(6):3947-3957. PubMed ID: 37955669
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Performance of an Artificial Intelligence System for Breast Cancer Detection on Screening Mammograms from BreastScreen Norway.
    Larsen M; Olstad CF; Lee CI; Hovda T; Hoff SR; Martiniussen MA; Mikalsen KØ; Lund-Hanssen H; Solli HS; Silberhorn M; Sulheim ÅØ; Auensen S; Nygård JF; Hofvind S
    Radiol Artif Intell; 2024 May; 6(3):e230375. PubMed ID: 38597784
    [TBL] [Abstract][Full Text] [Related]  

  • 38. AI-enhanced Mammography With Digital Breast Tomosynthesis for Breast Cancer Detection: Clinical Value and Comparison With Human Performance.
    Resch D; Lo Gullo R; Teuwen J; Semturs F; Hummel J; Resch A; Pinker K
    Radiol Imaging Cancer; 2024 Jul; 6(4):e230149. PubMed ID: 38995172
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Protocol for evaluating the fitness for purpose of an artificial intelligence product for radiology reporting in the BreastScreen New South Wales breast cancer screening programme.
    Warner-Smith M; Ren K; Mistry C; Walton R; Roder D; Bhola N; McGill S; O'Brien TA
    BMJ Open; 2024 May; 14(5):e082350. PubMed ID: 38806433
    [TBL] [Abstract][Full Text] [Related]  

  • 40.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 24.