BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 38042019)

  • 21. Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs.
    Bennani S; Regnard NE; Ventre J; Lassalle L; Nguyen T; Ducarouge A; Dargent L; Guillo E; Gouhier E; Zaimi SH; Canniff E; Malandrin C; Khafagy P; Koulakian H; Revel MP; Chassagnon G
    Radiology; 2023 Dec; 309(3):e230860. PubMed ID: 38085079
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The impact of artificial intelligence on the reading times of radiologists for chest radiographs.
    Shin HJ; Han K; Ryu L; Kim EK
    NPJ Digit Med; 2023 Apr; 6(1):82. PubMed ID: 37120423
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Artificial intelligence system for identification of false-negative interpretations in chest radiographs.
    Hwang EJ; Park J; Hong W; Lee HJ; Choi H; Kim H; Nam JG; Goo JM; Yoon SH; Lee CH; Park CM
    Eur Radiol; 2022 Jul; 32(7):4468-4478. PubMed ID: 35195744
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net.
    Kim YG; Cho Y; Wu CJ; Park S; Jung KH; Seo JB; Lee HJ; Hwang HJ; Lee SM; Kim N
    Sci Rep; 2019 Dec; 9(1):18738. PubMed ID: 31822774
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT].
    Li X; Guo F; Zhou Z; Zhang F; Wang Q; Peng Z; Su D; Fan Y; Wang Y
    Zhongguo Fei Ai Za Zhi; 2019 Jun; 22(6):336-340. PubMed ID: 31196366
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact.
    Plesner LL; Müller FC; Nybing JD; Laustrup LC; Rasmussen F; Nielsen OW; Boesen M; Andersen MB
    Radiology; 2023 May; 307(3):e222268. PubMed ID: 36880947
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans.
    Armato SG; McNitt-Gray MF; Reeves AP; Meyer CR; McLennan G; Aberle DR; Kazerooni EA; MacMahon H; van Beek EJ; Yankelevitz D; Hoffman EA; Henschke CI; Roberts RY; Brown MS; Engelmann RM; Pais RC; Piker CW; Qing D; Kocherginsky M; Croft BY; Clarke LP
    Acad Radiol; 2007 Nov; 14(11):1409-21. PubMed ID: 17964464
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Effect of Human-AI Interaction on Detection of Malignant Lung Nodules on Chest Radiographs.
    Lee JH; Hong H; Nam G; Hwang EJ; Park CM
    Radiology; 2023 Jun; 307(5):e222976. PubMed ID: 37367443
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning.
    Liang F; Li C; Fu X
    J Healthc Eng; 2021; 2021():9971325. PubMed ID: 34447527
    [TBL] [Abstract][Full Text] [Related]  

  • 30. New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs.
    Schalekamp S; van Ginneken B; Heggelman B; Imhof-Tas M; Somers I; Brink M; Spee M; Schaefer-Prokop C; Karssemeijer N
    Br J Radiol; 2014 Apr; 87(1036):20140015. PubMed ID: 24625084
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Bone Suppression on Chest Radiographs for Pulmonary Nodule Detection: Comparison between a Generative Adversarial Network and Dual-Energy Subtraction.
    Bae K; Oh DY; Yun ID; Jeon KN
    Korean J Radiol; 2022 Jan; 23(1):139-149. PubMed ID: 34983100
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance.
    Schultheiss M; Schmette P; Bodden J; Aichele J; Müller-Leisse C; Gassert FG; Gassert FT; Gawlitza JF; Hofmann FC; Sasse D; von Schacky CE; Ziegelmayer S; De Marco F; Renger B; Makowski MR; Pfeiffer F; Pfeiffer D
    Sci Rep; 2021 Aug; 11(1):15857. PubMed ID: 34349135
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A parameterized logarithmic image processing method with Laplacian of Gaussian filtering for lung nodule enhancement in chest radiographs.
    Chen S; Yao L; Chen B
    Med Biol Eng Comput; 2016 Nov; 54(11):1793-1806. PubMed ID: 27016368
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort.
    Yoo H; Kim EY; Kim H; Choi YR; Kim MY; Hwang SH; Kim YJ; Cho YJ; Jin KN
    Korean J Radiol; 2022 Oct; 23(10):1009-1018. PubMed ID: 36175002
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Performance of Qure.ai automatic classifiers against a large annotated database of patients with diverse forms of tuberculosis.
    Engle E; Gabrielian A; Long A; Hurt DE; Rosenthal A
    PLoS One; 2020; 15(1):e0224445. PubMed ID: 31978149
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study.
    Kaviani P; Digumarthy SR; Bizzo BC; Reddy B; Tadepalli M; Putha P; Jagirdar A; Ebrahimian S; Kalra MK; Dreyer KJ
    Diagnostics (Basel); 2022 Aug; 12(9):. PubMed ID: 36140488
    [No Abstract]   [Full Text] [Related]  

  • 37. Artificial Intelligence for Early Detection of Chest Nodules in X-ray Images.
    Chiu HY; Peng RH; Lin YC; Wang TW; Yang YX; Chen YY; Wu MH; Shiao TH; Chao HS; Chen YM; Wu YT
    Biomedicines; 2022 Nov; 10(11):. PubMed ID: 36359360
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Diagnostic Accuracy and Performance of Artificial Intelligence in Detecting Lung Nodules in Patients With Complex Lung Disease: A Noninferiority Study.
    Abadia AF; Yacoub B; Stringer N; Snoddy M; Kocher M; Schoepf UJ; Aquino GJ; Kabakus I; Dargis D; Hoelzer P; Sperl JI; Sahbaee P; Vingiani V; Mercer M; Burt JR
    J Thorac Imaging; 2022 May; 37(3):154-161. PubMed ID: 34387227
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage.
    Rudolph J; Huemmer C; Ghesu FC; Mansoor A; Preuhs A; Fieselmann A; Fink N; Dinkel J; Koliogiannis V; Schwarze V; Goller S; Fischer M; Jörgens M; Ben Khaled N; Vishwanath RS; Balachandran A; Ingrisch M; Ricke J; Sabel BO; Rueckel J
    Invest Radiol; 2022 Feb; 57(2):90-98. PubMed ID: 34352804
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Impact of Different Artificial Intelligence User Interfaces on Lung Nodule and Mass Detection on Chest Radiographs.
    Tang JSN; Lai JKC; Bui J; Wang W; Simkin P; Gai D; Chan J; Pascoe DM; Heinze SB; Gaillard F; Lui E
    Radiol Artif Intell; 2023 May; 5(3):e220079. PubMed ID: 37293345
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.