544 related articles for article (PubMed ID: 35251153)
1. Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis.
Baashar Y; Alkawsi G; Alhussian H; Capretz LF; Alwadain A; Alkahtani AA; Almomani M
Comput Intell Neurosci; 2022; 2022():5849995. PubMed ID: 35251153
[TBL] [Abstract][Full Text] [Related]
2. The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses.
Qu C; Luo W; Zeng Z; Lin X; Gong X; Wang X; Zhang Y; Li Y
Heliyon; 2022 Nov; 8(11):e11361. PubMed ID: 36387440
[TBL] [Abstract][Full Text] [Related]
3. Mammography diagnosis of breast cancer screening through machine learning: a systematic review and meta-analysis.
Liu J; Lei J; Ou Y; Zhao Y; Tuo X; Zhang B; Shen M
Clin Exp Med; 2023 Oct; 23(6):2341-2356. PubMed ID: 36242643
[TBL] [Abstract][Full Text] [Related]
4. Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review.
Hansun S; Argha A; Liaw ST; Celler BG; Marks GB
J Med Internet Res; 2023 Jul; 25():e43154. PubMed ID: 37399055
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Machine learning prediction in cardiovascular diseases: a meta-analysis.
Krittanawong C; Virk HUH; Bangalore S; Wang Z; Johnson KW; Pinotti R; Zhang H; Kaplin S; Narasimhan B; Kitai T; Baber U; Halperin JL; Tang WHW
Sci Rep; 2020 Sep; 10(1):16057. PubMed ID: 32994452
[TBL] [Abstract][Full Text] [Related]
8. Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries.
Talpur S; Azim F; Rashid M; Syed SA; Talpur BA; Khan SJ
J Healthc Eng; 2022; 2022():5032435. PubMed ID: 35399834
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis.
Chiasakul T; Lam BD; McNichol M; Robertson W; Rosovsky RP; Lake L; Vlachos IS; Adamski A; Reyes N; Abe K; Zwicker JI; Patell R
Eur J Haematol; 2023 Dec; 111(6):951-962. PubMed ID: 37794526
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic Accuracy of Artificial Intelligence Based on Imaging Data for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.
Zhang J; Huang S; Xu Y; Wu J
Front Oncol; 2022; 12():763842. PubMed ID: 35280776
[TBL] [Abstract][Full Text] [Related]
11. Prediction Models for Intrauterine Growth Restriction Using Artificial Intelligence and Machine Learning: A Systematic Review and Meta-Analysis.
Rescinito R; Ratti M; Payedimarri AB; Panella M
Healthcare (Basel); 2023 Jun; 11(11):. PubMed ID: 37297757
[TBL] [Abstract][Full Text] [Related]
12. The predictive performance of artificial intelligence on the outcome of stroke: a systematic review and meta-analysis.
Yang Y; Tang L; Deng Y; Li X; Luo A; Zhang Z; He L; Zhu C; Zhou M
Front Neurosci; 2023; 17():1256592. PubMed ID: 37746141
[TBL] [Abstract][Full Text] [Related]
13. Cardiac disease prediction using AI algorithms with SelectKBest.
Saeed MH; Hama JI
Med Biol Eng Comput; 2023 Dec; 61(12):3397-3408. PubMed ID: 37679578
[TBL] [Abstract][Full Text] [Related]
14. Diagnostic Performance of Artificial Intelligence-Based Models for the Detection of Early Esophageal Cancers in Barret's Esophagus: A Meta-Analysis of Patient-Based Studies.
Bhatti KM; Khanzada ZS; Kuzman M; Ali SM; Iftikhar SY; Small P
Cureus; 2021 Jun; 13(6):e15447. PubMed ID: 34258114
[TBL] [Abstract][Full Text] [Related]
15. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review.
Singh M; Kumar A; Khanna NN; Laird JR; Nicolaides A; Faa G; Johri AM; Mantella LE; Fernandes JFE; Teji JS; Singh N; Fouda MM; Singh R; Sharma A; Kitas G; Rathore V; Singh IM; Tadepalli K; Al-Maini M; Isenovic ER; Chaturvedi S; Garg D; Paraskevas KI; Mikhailidis DP; Viswanathan V; Kalra MK; Ruzsa Z; Saba L; Laine AF; Bhatt DL; Suri JS
EClinicalMedicine; 2024 Jul; 73():102660. PubMed ID: 38846068
[TBL] [Abstract][Full Text] [Related]
17. Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal.
Abbasgholizadeh Rahimi S; Légaré F; Sharma G; Archambault P; Zomahoun HTV; Chandavong S; Rheault N; T Wong S; Langlois L; Couturier Y; Salmeron JL; Gagnon MP; Légaré J
J Med Internet Res; 2021 Sep; 23(9):e29839. PubMed ID: 34477556
[TBL] [Abstract][Full Text] [Related]
18. Prediction of 5-day biochemical oxygen demand in the Buriganga River of Bangladesh using novel hybrid machine learning algorithms.
Nafsin N; Li J
Water Environ Res; 2022 May; 94(5):e10718. PubMed ID: 35502725
[TBL] [Abstract][Full Text] [Related]
19. Can risk be predicted? An umbrella systematic review of current risk prediction models for cardiovascular diseases, diabetes and hypertension.
Lucaroni F; Cicciarella Modica D; Macino M; Palombi L; Abbondanzieri A; Agosti G; Biondi G; Morciano L; Vinci A
BMJ Open; 2019 Dec; 9(12):e030234. PubMed ID: 31862737
[TBL] [Abstract][Full Text] [Related]
20. Artificial Intelligence in Ophthalmology: A Meta-Analysis of Deep Learning Models for Retinal Vessels Segmentation.
Islam MM; Poly TN; Walther BA; Yang HC; Li YJ
J Clin Med; 2020 Apr; 9(4):. PubMed ID: 32260311
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
