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.
7. Interventional Radiology ex-machina: impact of Artificial Intelligence on practice. Gurgitano M; Angileri SA; Rodà GM; Liguori A; Pandolfi M; Ierardi AM; Wood BJ; Carrafiello G Radiol Med; 2021 Jul; 126(7):998-1006. PubMed ID: 33861421 [TBL] [Abstract][Full Text] [Related]
8. Toward Augmented Radiologists: Changes in Radiology Education in the Era of Machine Learning and Artificial Intelligence. Tajmir SH; Alkasab TK Acad Radiol; 2018 Jun; 25(6):747-750. PubMed ID: 29599010 [TBL] [Abstract][Full Text] [Related]
9. Implementing Machine Learning in Radiology Practice and Research. Kohli M; Prevedello LM; Filice RW; Geis JR AJR Am J Roentgenol; 2017 Apr; 208(4):754-760. PubMed ID: 28125274 [TBL] [Abstract][Full Text] [Related]
10. Machine learning concepts, concerns and opportunities for a pediatric radiologist. Moore MM; Slonimsky E; Long AD; Sze RW; Iyer RS Pediatr Radiol; 2019 Apr; 49(4):509-516. PubMed ID: 30923883 [TBL] [Abstract][Full Text] [Related]
11. Applications and challenges of artificial intelligence in diagnostic and interventional radiology. Waller J; O'Connor A; Rafaat E; Amireh A; Dempsey J; Martin C; Umair M Pol J Radiol; 2022; 87():e113-e117. PubMed ID: 35280945 [TBL] [Abstract][Full Text] [Related]
12. Current issues of interventional radiology in Canada: a national survey by the Canadian Interventional Radiology Association. Baerlocher MO; Asch MR; Hayeems E Can Assoc Radiol J; 2005 Jun; 56(3):129-39. PubMed ID: 16144272 [TBL] [Abstract][Full Text] [Related]
13. Role of Big Data and Machine Learning in Diagnostic Decision Support in Radiology. Syeda-Mahmood T J Am Coll Radiol; 2018 Mar; 15(3 Pt B):569-576. PubMed ID: 29502585 [TBL] [Abstract][Full Text] [Related]
14. Current Applications and Future Impact of Machine Learning in Radiology. Choy G; Khalilzadeh O; Michalski M; Do S; Samir AE; Pianykh OS; Geis JR; Pandharipande PV; Brink JA; Dreyer KJ Radiology; 2018 Aug; 288(2):318-328. PubMed ID: 29944078 [TBL] [Abstract][Full Text] [Related]
16. Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods. Handelman GS; Kok HK; Chandra RV; Razavi AH; Huang S; Brooks M; Lee MJ; Asadi H AJR Am J Roentgenol; 2019 Jan; 212(1):38-43. PubMed ID: 30332290 [TBL] [Abstract][Full Text] [Related]
17. How and why should the radiologist look at the placenta? Siauve N Eur Radiol; 2019 Nov; 29(11):6149-6151. PubMed ID: 31392479 [TBL] [Abstract][Full Text] [Related]
18. Artificial Intelligence and Machine Learning in Radiology: Current State and Considerations for Routine Clinical Implementation. Wichmann JL; Willemink MJ; De Cecco CN Invest Radiol; 2020 Sep; 55(9):619-627. PubMed ID: 32776769 [TBL] [Abstract][Full Text] [Related]
19. Quality use of artificial intelligence in medical imaging: What do radiologists need to know? Goergen SK; Frazer HM; Reddy S J Med Imaging Radiat Oncol; 2022 Mar; 66(2):225-232. PubMed ID: 35243782 [TBL] [Abstract][Full Text] [Related]
20. A No-Math Primer on the Principles of Machine Learning for Radiologists. Lee MD; Elsayed M; Chopra S; Lui YW Semin Ultrasound CT MR; 2022 Apr; 43(2):133-141. PubMed ID: 35339253 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]