171 related articles for article (PubMed ID: 35260155)
1. Identification of data elements for blood gas analysis dataset: a base for developing registries and artificial intelligence-based systems.
Zare S; Meidani Z; Ouhadian M; Akbari H; Zand F; Fakharian E; Sharifian R
BMC Health Serv Res; 2022 Mar; 22(1):317. PubMed ID: 35260155
[TBL] [Abstract][Full Text] [Related]
2. Development of a core data set for pelvic floor disorder patients registry.
Abdi Reyhan M; Damanabi S; Kalankesh LR; Hajebrahimi S
Low Urin Tract Symptoms; 2021 Jan; 13(1):144-153. PubMed ID: 32939981
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of the Neonatal Abstinence Syndrome Minimum Data Set (NAS-MDS): a systematic review, focus group discussion, and Delphi technique.
Zakerabasali S; Kadivar M; Safdari R; Niakan Kalhori SR; Mokhtaran M; Karbasi Z; Sayarifard A
J Matern Fetal Neonatal Med; 2022 Feb; 35(4):617-624. PubMed ID: 33047642
[TBL] [Abstract][Full Text] [Related]
4. Registries, Databases and Repositories for Developing Artificial Intelligence in Cancer Care.
Wang JW; Williams M
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):e97-e103. PubMed ID: 34922797
[TBL] [Abstract][Full Text] [Related]
5. Development of a National Core Dataset for the Iranian ICU Patients Outcome Prediction; a Comprehensive Approach.
Atashi A; Rahmatinejad Z; Ahmadian L; Miri M; Nazeri N; Eslami S
J Innov Health Inform; 2018 Jun; 25(2):71-76. PubMed ID: 30398448
[TBL] [Abstract][Full Text] [Related]
6. Evaluation Framework for Successful Artificial Intelligence-Enabled Clinical Decision Support Systems: Mixed Methods Study.
Ji M; Genchev GZ; Huang H; Xu T; Lu H; Yu G
J Med Internet Res; 2021 Jun; 23(6):e25929. PubMed ID: 34076581
[TBL] [Abstract][Full Text] [Related]
7. Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.
Simon G; DiNardo CD; Takahashi K; Cascone T; Powers C; Stevens R; Allen J; Antonoff MB; Gomez D; Keane P; Suarez Saiz F; Nguyen Q; Roarty E; Pierce S; Zhang J; Hardeman Barnhill E; Lakhani K; Shaw K; Smith B; Swisher S; High R; Futreal PA; Heymach J; Chin L
Oncologist; 2019 Jun; 24(6):772-782. PubMed ID: 30446581
[TBL] [Abstract][Full Text] [Related]
8. A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.
Hwang J; Lee T; Lee H; Byun S
J Med Internet Res; 2022 Jan; 24(1):e28659. PubMed ID: 35044311
[TBL] [Abstract][Full Text] [Related]
9. The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.
Yuan KC; Tsai LW; Lee KH; Cheng YW; Hsu SC; Lo YS; Chen RJ
Int J Med Inform; 2020 Sep; 141():104176. PubMed ID: 32485555
[TBL] [Abstract][Full Text] [Related]
10. Development a national minimum data set (MDS) of the information management system for disability in Iran.
Ahmadi M; Madani T; Alipour J
Disabil Health J; 2019 Oct; 12(4):641-648. PubMed ID: 31164283
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence applications in the intensive care unit.
Hanson CW; Marshall BE
Crit Care Med; 2001 Feb; 29(2):427-35. PubMed ID: 11269246
[TBL] [Abstract][Full Text] [Related]
12. Beginnings of Artificial Intelligence in Medicine (AIM): Computational Artifice Assisting Scientific Inquiry and Clinical Art - with Reflections on Present AIM Challenges.
Kulikowski CA
Yearb Med Inform; 2019 Aug; 28(1):249-256. PubMed ID: 31022744
[TBL] [Abstract][Full Text] [Related]
13. Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review.
Cresswell K; Callaghan M; Khan S; Sheikh Z; Mozaffar H; Sheikh A
Health Informatics J; 2020 Sep; 26(3):2138-2147. PubMed ID: 31964204
[TBL] [Abstract][Full Text] [Related]
14. Designing a comprehensive minimum dataset for patients with COVID-19 in Iranian hospital information systems.
Salmani H; Sharafi S; Almanie A; Niknam F; Naseri Z; Mobarak S; Jelvay S
Health Inf Manag; 2024 Jan; 53(1):14-19. PubMed ID: 37846732
[TBL] [Abstract][Full Text] [Related]
15. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
16. Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.
Kickingereder P; Isensee F; Tursunova I; Petersen J; Neuberger U; Bonekamp D; Brugnara G; Schell M; Kessler T; Foltyn M; Harting I; Sahm F; Prager M; Nowosielski M; Wick A; Nolden M; Radbruch A; Debus J; Schlemmer HP; Heiland S; Platten M; von Deimling A; van den Bent MJ; Gorlia T; Wick W; Bendszus M; Maier-Hein KH
Lancet Oncol; 2019 May; 20(5):728-740. PubMed ID: 30952559
[TBL] [Abstract][Full Text] [Related]
17. Development of a national core dataset for preoperative assessment.
Ahmadian L; Cornet R; Kalkman C; de Keizer NF;
Methods Inf Med; 2009; 48(2):155-61. PubMed ID: 19283313
[TBL] [Abstract][Full Text] [Related]
18. Augmenting the Transplant Team With Artificial Intelligence: Toward Meaningful AI Use in Solid Organ Transplant.
Clement J; Maldonado AQ
Front Immunol; 2021; 12():694222. PubMed ID: 34177958
[TBL] [Abstract][Full Text] [Related]
19. Developing a national minimum data set for hospital information systems in the Islamic Republic of Iran.
Rampisheh Z; Kameli ME; Zarei J; Barzaki AV; Meraji M; Mohammadi A
East Mediterr Health J; 2020 Apr; 26(4):400-409. PubMed ID: 32338358
[TBL] [Abstract][Full Text] [Related]
20. Dos and don'ts in designing a computerized oral and lip squamous cell cancer registry.
Shahmoradi L; Mahdavi N; Saffar H; Ghalehtaki R; Shirkhoda M; Motiee-Langroudi M; Fard MJK; Rezayi S; Esmaeeli E
BMC Health Serv Res; 2023 Sep; 23(1):1010. PubMed ID: 37726768
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]