177 related articles for article (PubMed ID: 35084352)
1. Technology-Enabled, Evidence-Driven, and Patient-Centered: The Way Forward for Regulating Software as a Medical Device.
Carolan JE; McGonigle J; Dennis A; Lorgelly P; Banerjee A
JMIR Med Inform; 2022 Jan; 10(1):e34038. PubMed ID: 35084352
[TBL] [Abstract][Full Text] [Related]
2. Methodology for Conducting Post-Marketing Surveillance of Software as a Medical Device Based on Artificial Intelligence Technologies.
Zinchenko VV; Arzamasov KM; Chetverikov SF; Maltsev AV; Novik VP; Akhmad ES; Sharova DE; Andreychenko AE; Vladzymyrskyy AV; Morozov SP
Sovrem Tekhnologii Med; 2022; 14(5):15-23. PubMed ID: 37181834
[TBL] [Abstract][Full Text] [Related]
3. Changes in software as a medical device based on artificial intelligence technologies.
Zinchenko V; Chetverikov S; Akhmad E; Arzamasov K; Vladzymyrskyy A; Andreychenko A; Morozov S
Int J Comput Assist Radiol Surg; 2022 Oct; 17(10):1969-1977. PubMed ID: 35691995
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device.
Prabhakar B; Singh RK; Yadav KS
Comput Med Imaging Graph; 2021 Jan; 87():101818. PubMed ID: 33307283
[TBL] [Abstract][Full Text] [Related]
5. The need for a system view to regulate artificial intelligence/machine learning-based software as medical device.
Gerke S; Babic B; Evgeniou T; Cohen IG
NPJ Digit Med; 2020; 3():53. PubMed ID: 32285013
[TBL] [Abstract][Full Text] [Related]
6. The current status of breakthrough devices designation in the United States and innovative medical devices designation in Korea for digital health software.
Woo JH; Kim EC; Kim SM
Expert Rev Med Devices; 2022 Mar; 19(3):213-228. PubMed ID: 35255755
[TBL] [Abstract][Full Text] [Related]
7. Artificial Intelligence and Machine Learning Applied at the Point of Care.
Angehrn Z; Haldna L; Zandvliet AS; Gil Berglund E; Zeeuw J; Amzal B; Cheung SYA; Polasek TM; Pfister M; Kerbusch T; Heckman NM
Front Pharmacol; 2020; 11():759. PubMed ID: 32625083
[TBL] [Abstract][Full Text] [Related]
8. Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging.
Wellnhofer E
Front Cardiovasc Med; 2022; 9():890809. PubMed ID: 35935648
[TBL] [Abstract][Full Text] [Related]
9. Clinical Simulation in the Regulation of Software as a Medical Device: An eDelphi Study.
O'Driscoll F; O'Brien N; Guo C; Prime M; Darzi A; Ghafur S
JMIR Form Res; 2024 Jun; 8():e56241. PubMed ID: 38917454
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Minimum labelling requirements for dermatology artificial intelligence-based Software as Medical Device (SaMD): A consensus statement.
Ingvar Å; Oloruntoba A; Sashindranath M; Miller R; Soyer HP; Guitera P; Caccetta T; Shumack S; Abbott L; Arnold C; Lawn C; Button-Sloan A; Janda M; Mar V
Australas J Dermatol; 2024 May; 65(3):e21-e29. PubMed ID: 38419186
[TBL] [Abstract][Full Text] [Related]
12. Translating the regulatory landscape of medical devices to create fit-for-purpose artificial intelligence (AI) cytometry solutions.
Bogdanoski G; Lucas F; Kern W; Czechowska K
Cytometry B Clin Cytom; 2024 Feb; ():. PubMed ID: 38396223
[TBL] [Abstract][Full Text] [Related]
13. Examining labelling guidelines for AI-based software as a medical device: A review and analysis of dermatology mobile applications in Australia.
Oloruntoba A; Ingvar Å; Sashindranath M; Anthony O; Abbott L; Guitera P; Caccetta T; Janda M; Soyer HP; Mar V
Australas J Dermatol; 2024 May; ():. PubMed ID: 38693690
[TBL] [Abstract][Full Text] [Related]
14. Conceptualising Artificial Intelligence as a Digital Healthcare Innovation: An Introductory Review.
Arora A
Med Devices (Auckl); 2020; 13():223-230. PubMed ID: 32904333
[TBL] [Abstract][Full Text] [Related]
15. A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work.
Salman OH; Taha Z; Alsabah MQ; Hussein YS; Mohammed AS; Aal-Nouman M
Comput Methods Programs Biomed; 2021 Sep; 209():106357. PubMed ID: 34438223
[TBL] [Abstract][Full Text] [Related]
16. Critical Care Network in the State of Qatar.
Hijjeh M; Al Shaikh L; Alinier G; Selwood D; Malmstrom F; Hassan IF
Qatar Med J; 2019; 2019(2):2. PubMed ID: 31763205
[TBL] [Abstract][Full Text] [Related]
17. Global Regulatory Frameworks for the Use of Artificial Intelligence (AI) in the Healthcare Services Sector.
Palaniappan K; Lin EYT; Vogel S
Healthcare (Basel); 2024 Feb; 12(5):. PubMed ID: 38470673
[TBL] [Abstract][Full Text] [Related]
18. [Artificial intelligence : A helpful tool for radiologists?].
Schütze B; Schlieter H
Radiologe; 2019 Dec; 59(12):1091-1096. PubMed ID: 31578624
[TBL] [Abstract][Full Text] [Related]
19. Algorithm Change Protocols in the Regulation of Adaptive Machine Learning-Based Medical Devices.
Gilbert S; Fenech M; Hirsch M; Upadhyay S; Biasiucci A; Starlinger J
J Med Internet Res; 2021 Oct; 23(10):e30545. PubMed ID: 34697010
[TBL] [Abstract][Full Text] [Related]
20. Human-Centered Design to Address Biases in Artificial Intelligence.
Chen Y; Clayton EW; Novak LL; Anders S; Malin B
J Med Internet Res; 2023 Mar; 25():e43251. PubMed ID: 36961506
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
