125 related articles for article (PubMed ID: 38913244)
21. Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.
Devi S; Kaul Ghanekar R; Pande JA; Dumbre D; Chavan R; Gupta H
Asian Pac J Cancer Prev; 2024 Mar; 25(3):1077-1085. PubMed ID: 38546090
[TBL] [Abstract][Full Text] [Related]
22. Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
Hong N; Wen A; Stone DJ; Tsuji S; Kingsbury PR; Rasmussen LV; Pacheco JA; Adekkanattu P; Wang F; Luo Y; Pathak J; Liu H; Jiang G
J Biomed Inform; 2019 Nov; 99():103310. PubMed ID: 31622801
[TBL] [Abstract][Full Text] [Related]
23. Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT.
Hallinan JTPD; Zhu L; Zhang W; Ge S; Muhamat Nor FE; Ong HY; Eide SE; Cheng AJL; Kuah T; Lim DSW; Low XZ; Yeong KY; AlMuhaish MI; Alsooreti AM; Kumarakulasinghe NB; Teo EC; Yap QV; Chan YH; Lin S; Tan JH; Kumar N; Vellayappan BA; Ooi BC; Quek ST; Makmur A
Front Oncol; 2023; 13():1151073. PubMed ID: 37213273
[TBL] [Abstract][Full Text] [Related]
24. Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI.
Heo TS; Kim YS; Choi JM; Jeong YS; Seo SY; Lee JH; Jeon JP; Kim C
J Pers Med; 2020 Dec; 10(4):. PubMed ID: 33339385
[TBL] [Abstract][Full Text] [Related]
25. CT and MRI imaging in Sweden: retrospective appropriateness analysis of large referral samples.
Ståhlbrandt H; Björnfot I; Cederlund T; Almén A
Insights Imaging; 2023 Aug; 14(1):134. PubMed ID: 37530862
[TBL] [Abstract][Full Text] [Related]
26. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
27. Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma.
Mithun S; Jha AK; Sherkhane UB; Jaiswar V; Purandare NC; Dekker A; Puts S; Bermejo I; Rangarajan V; Zegers CML; Wee L
J Digit Imaging; 2023 Jun; 36(3):812-826. PubMed ID: 36788196
[TBL] [Abstract][Full Text] [Related]
28. Shallow and deep learning classifiers in medical image analysis.
Prinzi F; Currieri T; Gaglio S; Vitabile S
Eur Radiol Exp; 2024 Mar; 8(1):26. PubMed ID: 38438821
[TBL] [Abstract][Full Text] [Related]
29. Clinical decision support system recommendations: how often do radiologists and clinicians accept them?
Saban M; Sosna J; Singer C; Vaknin S; Myers V; Shaham D; Assaf J; Hershko A; Feder-Bubis P; Wilf-Miron R; Luxenburg O
Eur Radiol; 2022 Jun; 32(6):4218-4224. PubMed ID: 35024948
[TBL] [Abstract][Full Text] [Related]
30. Comparison of deep-learning and radiomics-based machine-learning methods for the identification of chronic obstructive pulmonary disease on low-dose computed tomography images.
Guan Y; Zhang D; Zhou X; Xia Y; Lu Y; Zheng X; He C; Liu S; Fan L
Quant Imaging Med Surg; 2024 Mar; 14(3):2485-2498. PubMed ID: 38545077
[TBL] [Abstract][Full Text] [Related]
31. Does clinical decision support system promote expert consensus for appropriate imaging referrals? Chest-abdominal-pelvis CT as a case study.
Markus T; Saban M; Sosna J; Assaf J; Cohen D; Vaknin S; Luxenburg O; Singer C; Shaham D
Insights Imaging; 2023 Mar; 14(1):45. PubMed ID: 36929357
[TBL] [Abstract][Full Text] [Related]
32. Differential Biases and Variabilities of Deep Learning-Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study.
Cha D; Pae C; Lee SA; Na G; Hur YK; Lee HY; Cho AR; Cho YJ; Han SG; Kim SH; Choi JY; Park HJ
JMIR Med Inform; 2021 Dec; 9(12):e33049. PubMed ID: 34889764
[TBL] [Abstract][Full Text] [Related]
33. Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.
Hassanpour S; Langlotz CP; Amrhein TJ; Befera NT; Lungren MP
AJR Am J Roentgenol; 2017 Apr; 208(4):750-753. PubMed ID: 28140627
[TBL] [Abstract][Full Text] [Related]
34. Deep learning-based scan range optimization can reduce radiation exposure in coronary CT angiography.
Demircioğlu A; Bos D; Demircioğlu E; Qaadan S; Glasmachers T; Bruder O; Umutlu L; Nassenstein K
Eur Radiol; 2024 Jan; 34(1):411-421. PubMed ID: 37552254
[TBL] [Abstract][Full Text] [Related]
35. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.
Adamidi ES; Mitsis K; Nikita KS
Comput Struct Biotechnol J; 2021; 19():2833-2850. PubMed ID: 34025952
[TBL] [Abstract][Full Text] [Related]
36. Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT).
Li J; Lin Y; Zhao P; Liu W; Cai L; Sun J; Zhao L; Yang Z; Song H; Lv H; Wang Z
BMC Med Inform Decis Mak; 2022 Jul; 22(1):200. PubMed ID: 35907966
[TBL] [Abstract][Full Text] [Related]
37. Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging.
Abbasi N; Lacson R; Kapoor N; Licaros A; Guenette JP; Burk KS; Hammer M; Desai S; Eappen S; Saini S; Khorasani R
AJR Am J Roentgenol; 2023 Sep; 221(3):377-385. PubMed ID: 37073901
[No Abstract] [Full Text] [Related]
38. Ethical impact of suboptimal referrals on delivery of care in radiology department.
Chilanga CC; Lysdahl KB
J Med Ethics; 2022 Dec; 48(12):1020-1025. PubMed ID: 34429384
[TBL] [Abstract][Full Text] [Related]
39. Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization.
Zaman S; Vimalesvaran K; Chappell D; Varela M; Peters NS; Shiwani H; Knott KD; Davies RH; Moon JC; Bharath AA; Linton NW; Francis DP; Cole GD; Howard JP
J Cardiovasc Magn Reson; 2024 Summer; 26(1):101040. PubMed ID: 38522522
[TBL] [Abstract][Full Text] [Related]
40. Efficient labelling for efficient deep learning: the benefit of a multiple-image-ranking method to generate high volume training data applied to ventricular slice level classification in cardiac MRI.
Zaman S; Vimalesvaran K; Howard JP; Chappell D; Varela M; Peters NS; Francis DP; Bharath AA; Linton NWF; Cole GD
J Med Artif Intell; 2023 Apr; 6():4. PubMed ID: 37346802
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]