280 related articles for article (PubMed ID: 36629285)
1. Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare.
Gill SK; Karwath A; Uh HW; Cardoso VR; Gu Z; Barsky A; Slater L; Acharjee A; Duan J; Dall'Olio L; El Bouhaddani S; Chernbumroong S; Stanbury M; Haynes S; Asselbergs FW; Grobbee DE; Eijkemans MJC; Gkoutos GV; Kotecha D;
Eur Heart J; 2023 Mar; 44(9):713-725. PubMed ID: 36629285
[TBL] [Abstract][Full Text] [Related]
2. A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness.
Kidwai-Khan F; Wang R; Skanderson M; Brandt CA; Fodeh S; Womack JA
J Biomed Inform; 2024 Jun; 154():104654. PubMed ID: 38740316
[TBL] [Abstract][Full Text] [Related]
3. Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis.
Vo V; Chen G; Aquino YSJ; Carter SM; Do QN; Woode ME
Soc Sci Med; 2023 Dec; 338():116357. PubMed ID: 37949020
[TBL] [Abstract][Full Text] [Related]
4. Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review.
Wang H; Zu Q; Chen J; Yang Z; Ahmed MA
Adv Ther; 2021 Oct; 38(10):5078-5086. PubMed ID: 34528221
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence in healthcare: a primer for medical education in radiomics.
Waldman CE; Hermel M; Hermel JA; Allinson F; Pintea MN; Bransky N; Udoh E; Nicholson L; Robinson A; Gonzalez J; Suhar C; Nayak K; Wesbey G; Bhavnani SP
Per Med; 2022 Sep; 19(5):445-456. PubMed ID: 35880428
[TBL] [Abstract][Full Text] [Related]
6. Ethics and governance of trustworthy medical artificial intelligence.
Zhang J; Zhang ZM
BMC Med Inform Decis Mak; 2023 Jan; 23(1):7. PubMed ID: 36639799
[TBL] [Abstract][Full Text] [Related]
7. Artificial intelligence-based methods for fusion of electronic health records and imaging data.
Mohsen F; Ali H; El Hajj N; Shah Z
Sci Rep; 2022 Oct; 12(1):17981. PubMed ID: 36289266
[TBL] [Abstract][Full Text] [Related]
8. Key challenges for delivering clinical impact with artificial intelligence.
Kelly CJ; Karthikesalingam A; Suleyman M; Corrado G; King D
BMC Med; 2019 Oct; 17(1):195. PubMed ID: 31665002
[TBL] [Abstract][Full Text] [Related]
9. Feasibility of artificial intelligence its current status, clinical applications, and future direction in cardiovascular disease.
Sandeep B; Liu X; Huang X; Wang X; Mao L; Xiao Z
Curr Probl Cardiol; 2024 Feb; 49(2):102349. PubMed ID: 38103818
[TBL] [Abstract][Full Text] [Related]
10. Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review.
Huang JD; Wang J; Ramsey E; Leavey G; Chico TJA; Condell J
Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298352
[TBL] [Abstract][Full Text] [Related]
11. Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review.
Farah L; Davaze-Schneider J; Martin T; Nguyen P; Borget I; Martelli N
Artif Intell Med; 2023 Jun; 140():102547. PubMed ID: 37210155
[TBL] [Abstract][Full Text] [Related]
12. Potential Role of Artificial Intelligence in Cardiac Magnetic Resonance Imaging: Can It Help Clinicians in Making a Diagnosis?
Cau R; Cherchi V; Micheletti G; Porcu M; Mannelli L; Bassareo P; Suri JS; Saba L
J Thorac Imaging; 2021 May; 36(3):142-148. PubMed ID: 33769416
[TBL] [Abstract][Full Text] [Related]
13. A scoping review of fair machine learning techniques when using real-world data.
Huang Y; Guo J; Chen WH; Lin HY; Tang H; Wang F; Xu H; Bian J
J Biomed Inform; 2024 Mar; 151():104622. PubMed ID: 38452862
[TBL] [Abstract][Full Text] [Related]
14. Fairness of artificial intelligence in healthcare: review and recommendations.
Ueda D; Kakinuma T; Fujita S; Kamagata K; Fushimi Y; Ito R; Matsui Y; Nozaki T; Nakaura T; Fujima N; Tatsugami F; Yanagawa M; Hirata K; Yamada A; Tsuboyama T; Kawamura M; Fujioka T; Naganawa S
Jpn J Radiol; 2024 Jan; 42(1):3-15. PubMed ID: 37540463
[TBL] [Abstract][Full Text] [Related]
15. New Horizons in artificial intelligence in the healthcare of older people.
Shiwani T; Relton S; Evans R; Kale A; Heaven A; Clegg A; ; Todd O
Age Ageing; 2023 Dec; 52(12):. PubMed ID: 38124256
[TBL] [Abstract][Full Text] [Related]
16. The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive Technologies.
Jiang VS; Pavlovic ZJ; Hariton E
Obstet Gynecol Clin North Am; 2023 Dec; 50(4):747-762. PubMed ID: 37914492
[TBL] [Abstract][Full Text] [Related]
17. Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.
Mursch-Edlmayr AS; Ng WS; Diniz-Filho A; Sousa DC; Arnold L; Schlenker MB; Duenas-Angeles K; Keane PA; Crowston JG; Jayaram H
Transl Vis Sci Technol; 2020 Oct; 9(2):55. PubMed ID: 33117612
[TBL] [Abstract][Full Text] [Related]
18. Artificial Intelligence Bias in Health Care: Web-Based Survey.
Vorisek CN; Stellmach C; Mayer PJ; Klopfenstein SAI; Bures DM; Diehl A; Henningsen M; Ritter K; Thun S
J Med Internet Res; 2023 Jun; 25():e41089. PubMed ID: 37347528
[TBL] [Abstract][Full Text] [Related]
19. Revolutionizing healthcare: the role of artificial intelligence in clinical practice.
Alowais SA; Alghamdi SS; Alsuhebany N; Alqahtani T; Alshaya AI; Almohareb SN; Aldairem A; Alrashed M; Bin Saleh K; Badreldin HA; Al Yami MS; Al Harbi S; Albekairy AM
BMC Med Educ; 2023 Sep; 23(1):689. PubMed ID: 37740191
[TBL] [Abstract][Full Text] [Related]
20. Machine learning and artificial intelligence in research and healthcare.
Rubinger L; Gazendam A; Ekhtiari S; Bhandari M
Injury; 2023 May; 54 Suppl 3():S69-S73. PubMed ID: 35135685
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
