196 related articles for article (PubMed ID: 37740080)
1. Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM.
Kocak B; Keles A; Akinci D'Antonoli T
Eur Radiol; 2024 Apr; 34(4):2805-2815. PubMed ID: 37740080
[TBL] [Abstract][Full Text] [Related]
2. Self-reported checklists and quality scoring tools in radiomics: a meta-research.
Kocak B; Akinci D'Antonoli T; Ates Kus E; Keles A; Kala A; Kose F; Kadioglu M; Solak S; Sunman S; Temiz ZH
Eur Radiol; 2024 Jan; ():. PubMed ID: 38180530
[TBL] [Abstract][Full Text] [Related]
3. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
4. The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms.
Belue MJ; Harmon SA; Lay NS; Daryanani A; Phelps TE; Choyke PL; Turkbey B
J Am Coll Radiol; 2023 Feb; 20(2):134-145. PubMed ID: 35922018
[TBL] [Abstract][Full Text] [Related]
5. Reporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong Prominence in Asia.
Kim DY; Oh HW; Suh CH
Korean J Radiol; 2023 Dec; 24(12):1179-1189. PubMed ID: 38016678
[TBL] [Abstract][Full Text] [Related]
6. Consolidated standards of reporting trials (CONSORT) and the completeness of reporting of randomised controlled trials (RCTs) published in medical journals.
Turner L; Shamseer L; Altman DG; Weeks L; Peters J; Kober T; Dias S; Schulz KF; Plint AC; Moher D
Cochrane Database Syst Rev; 2012 Nov; 11(11):MR000030. PubMed ID: 23152285
[TBL] [Abstract][Full Text] [Related]
7. Adherence to the Guideline for Reporting Evidence-based practice Educational interventions and Teaching (GREET) of studies on evidence-based healthcare e-learning: a cross-sectional study.
Bała MM; Poklepović Peričić T; Žuljević MF; Bralić N; Zając J; Motaze NV; Rohwer A; Gajdzica M; Young T
BMJ Evid Based Med; 2024 Jun; ():. PubMed ID: 38862202
[TBL] [Abstract][Full Text] [Related]
8. The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.
Zrubka Z; Kertész G; Gulácsi L; Czere J; Hölgyesi Á; Nezhad HM; Mosavi A; Kovács L; Butte AJ; Péntek M
J Med Internet Res; 2024 Jan; 26():e47430. PubMed ID: 38241075
[TBL] [Abstract][Full Text] [Related]
9. Checklist for Artificial Intelligence in Medical Imaging Reporting Adherence in Peer-Reviewed and Preprint Manuscripts With the Highest Altmetric Attention Scores: A Meta-Research Study.
Sivanesan U; Wu K; McInnes MDF; Dhindsa K; Salehi F; van der Pol CB
Can Assoc Radiol J; 2023 May; 74(2):334-342. PubMed ID: 36301600
[No Abstract] [Full Text] [Related]
10. Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM).
Si L; Zhong J; Huo J; Xuan K; Zhuang Z; Hu Y; Wang Q; Zhang H; Yao W
Eur Radiol; 2022 Feb; 32(2):1353-1361. PubMed ID: 34347157
[TBL] [Abstract][Full Text] [Related]
11. Meta-research on reporting guidelines for artificial intelligence: are authors and reviewers encouraged enough in radiology, nuclear medicine, and medical imaging journals?
Koçak B; Keleş A; Köse F
Diagn Interv Radiol; 2024 Feb; ():. PubMed ID: 38375627
[TBL] [Abstract][Full Text] [Related]
12. Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review.
Lans A; Pierik RJB; Bales JR; Fourman MS; Shin D; Kanbier LN; Rifkin J; DiGiovanni WH; Chopra RR; Moeinzad R; Verlaan JJ; Schwab JH
Artif Intell Med; 2022 Oct; 132():102396. PubMed ID: 36207080
[TBL] [Abstract][Full Text] [Related]
13. Psychometric properties of self-report concussion scales and checklists.
McLeod TC; Leach C
J Athl Train; 2012; 47(2):221-3. PubMed ID: 22488289
[TBL] [Abstract][Full Text] [Related]
14. Characteristics, methodological, and reporting quality of scoping reviews published in nursing journals: A systematic review.
Woo BFY; Tam WWS; Williams MY; Ow Yong JQY; Cheong ZY; Ong YC; Poon SN; Goh YS
J Nurs Scholarsh; 2023 Jul; 55(4):874-885. PubMed ID: 36494752
[TBL] [Abstract][Full Text] [Related]
15. Quality of reporting of diagnostic accuracy studies on pelvic floor three-dimensional transperineal ultrasound: a systematic review.
Grob ATM; van der Vaart LR; Withagen MIJ; van der Vaart CH
Ultrasound Obstet Gynecol; 2017 Oct; 50(4):451-457. PubMed ID: 28000958
[TBL] [Abstract][Full Text] [Related]
16. The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study.
Zhong J; Xing Y; Lu J; Zhang G; Mao S; Chen H; Yin Q; Cen Q; Jiang R; Hu Y; Ding D; Ge X; Zhang H; Yao W
BMC Med Res Methodol; 2023 Dec; 23(1):292. PubMed ID: 38093215
[TBL] [Abstract][Full Text] [Related]
17. Preferred reporting items for systematic reviews and meta-analyses in ecology and evolutionary biology: a PRISMA extension.
O'Dea RE; Lagisz M; Jennions MD; Koricheva J; Noble DWA; Parker TH; Gurevitch J; Page MJ; Stewart G; Moher D; Nakagawa S
Biol Rev Camb Philos Soc; 2021 Oct; 96(5):1695-1722. PubMed ID: 33960637
[TBL] [Abstract][Full Text] [Related]
18. Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM).
Bhandari A; Scott L; Weilbach M; Marwah R; Lasocki A
Neuroradiology; 2023 May; 65(5):907-913. PubMed ID: 36746792
[TBL] [Abstract][Full Text] [Related]
19. Consolidated Health Economic Evaluation Reporting Standards (CHEERS)--explanation and elaboration: a report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force.
Husereau D; Drummond M; Petrou S; Carswell C; Moher D; Greenberg D; Augustovski F; Briggs AH; Mauskopf J; Loder E;
Value Health; 2013; 16(2):231-50. PubMed ID: 23538175
[TBL] [Abstract][Full Text] [Related]
20. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.
Collins GS; Dhiman P; Andaur Navarro CL; Ma J; Hooft L; Reitsma JB; Logullo P; Beam AL; Peng L; Van Calster B; van Smeden M; Riley RD; Moons KG
BMJ Open; 2021 Jul; 11(7):e048008. PubMed ID: 34244270
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]