These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
25. Artificial intelligence in cardiovascular CT: Current status and future implications. Lin A; Kolossváry M; Motwani M; Išgum I; Maurovich-Horvat P; Slomka PJ; Dey D J Cardiovasc Comput Tomogr; 2021; 15(6):462-469. PubMed ID: 33812855 [TBL] [Abstract][Full Text] [Related]
26. The role of artificial intelligence in clinical imaging and workflows. Wilson DU; Bailey MQ; Craig J Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():897-902. PubMed ID: 36514227 [TBL] [Abstract][Full Text] [Related]
27. A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support. Romero-Brufau S; Wyatt KD; Boyum P; Mickelson M; Moore M; Cognetta-Rieke C Int J Med Inform; 2020 May; 137():104072. PubMed ID: 32200295 [TBL] [Abstract][Full Text] [Related]
28. Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve. van Assen M; Banerjee I; De Cecco CN J Thorac Imaging; 2020 May; 35 Suppl 1():S3-S10. PubMed ID: 32073539 [TBL] [Abstract][Full Text] [Related]
29. Artificial intelligence in stroke imaging: Current and future perspectives. Yedavalli VS; Tong E; Martin D; Yeom KW; Forkert ND Clin Imaging; 2021 Jan; 69():246-254. PubMed ID: 32980785 [TBL] [Abstract][Full Text] [Related]
31. Using AI-generated suggestions from ChatGPT to optimize clinical decision support. Liu S; Wright AP; Patterson BL; Wanderer JP; Turer RW; Nelson SD; McCoy AB; Sittig DF; Wright A J Am Med Inform Assoc; 2023 Jun; 30(7):1237-1245. PubMed ID: 37087108 [TBL] [Abstract][Full Text] [Related]
32. [Applications of machine learning in clinical decision support in the omic era]. Zhao XT; Yang YD; Qu HZ; Fang XD Yi Chuan; 2018 Sep; 40(9):693-703. PubMed ID: 30369474 [TBL] [Abstract][Full Text] [Related]
33. Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence. Do HM; Spear LG; Nikpanah M; Mirmomen SM; Machado LB; Toscano AP; Turkbey B; Bagheri MH; Gulley JL; Folio LR Acad Radiol; 2020 Jan; 27(1):96-105. PubMed ID: 31818390 [TBL] [Abstract][Full Text] [Related]
34. Artificial Intelligence in Radiology: Some Ethical Considerations for Radiologists and Algorithm Developers. Mazurowski MA Acad Radiol; 2020 Jan; 27(1):127-129. PubMed ID: 31818378 [TBL] [Abstract][Full Text] [Related]
35. Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department. Jalal S; Parker W; Ferguson D; Nicolaou S Can Assoc Radiol J; 2021 Feb; 72(1):167-174. PubMed ID: 32309989 [TBL] [Abstract][Full Text] [Related]
36. Current and emerging artificial intelligence applications for pediatric interventional radiology. Desai SB; Pareek A; Lungren MP Pediatr Radiol; 2022 Oct; 52(11):2173-2177. PubMed ID: 33978793 [TBL] [Abstract][Full Text] [Related]
37. Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy. Tack C Musculoskelet Sci Pract; 2019 Feb; 39():164-169. PubMed ID: 30502096 [TBL] [Abstract][Full Text] [Related]
38. Artificial intelligence model for tumoral clinical decision support systems. Iglesias G; Talavera E; Troya J; Díaz-Álvarez A; García-Remesal M Comput Methods Programs Biomed; 2024 Aug; 253():108228. PubMed ID: 38810378 [TBL] [Abstract][Full Text] [Related]
39. Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence. Bates DW; Auerbach A; Schulam P; Wright A; Saria S Ann Intern Med; 2020 Jun; 172(11 Suppl):S137-S144. PubMed ID: 32479180 [TBL] [Abstract][Full Text] [Related]
40. [Structured reporting and artificial intelligence]. Hempel JM; Pinto Dos Santos D Radiologe; 2021 Nov; 61(11):999-1004. PubMed ID: 34605945 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]