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.
184 related articles for article (PubMed ID: 37493248)
21. Artificial intelligence in radiation oncology: A review of its current status and potential application for the radiotherapy workforce. Parkinson C; Matthams C; Foley K; Spezi E Radiography (Lond); 2021 Oct; 27 Suppl 1():S63-S68. PubMed ID: 34493445 [TBL] [Abstract][Full Text] [Related]
22. Deep learning for dermatologists: Part II. Current applications. Puri P; Comfere N; Drage LA; Shamim H; Bezalel SA; Pittelkow MR; Davis MDP; Wang M; Mangold AR; Tollefson MM; Lehman JS; Meves A; Yiannias JA; Otley CC; Carter RE; Sokumbi O; Hall MR; Bridges AG; Murphree DH J Am Acad Dermatol; 2022 Dec; 87(6):1352-1360. PubMed ID: 32428608 [TBL] [Abstract][Full Text] [Related]
23. Prime Time for Artificial Intelligence in Interventional Radiology. Seah J; Boeken T; Sapoval M; Goh GS Cardiovasc Intervent Radiol; 2022 Mar; 45(3):283-289. PubMed ID: 35031822 [TBL] [Abstract][Full Text] [Related]
24. Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology. Martín Noguerol T; Paulano-Godino F; Martín-Valdivia MT; Menias CO; Luna A J Am Coll Radiol; 2019 Sep; 16(9 Pt B):1239-1247. PubMed ID: 31492401 [TBL] [Abstract][Full Text] [Related]
25. Artificial intelligence in radiology: the ecosystem essential to improving patient care. Sogani J; Allen B; Dreyer K; McGinty G Clin Imaging; 2020 Jan; 59(1):A3-A6. PubMed ID: 31481284 [TBL] [Abstract][Full Text] [Related]
26. The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement. Chamunyonga C; Edwards C; Caldwell P; Rutledge P; Burbery J J Med Imaging Radiat Sci; 2020 Jun; 51(2):214-220. PubMed ID: 32115386 [TBL] [Abstract][Full Text] [Related]
27. Artificial Intelligence and the Medical Radiation Profession: How Our Advocacy Must Inform Future Practice. Murphy A; Liszewski B J Med Imaging Radiat Sci; 2019 Dec; 50(4 Suppl 2):S15-S19. PubMed ID: 31611013 [TBL] [Abstract][Full Text] [Related]
29. 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]
30. The role of artificial intelligence in veterinary radiation oncology. Leary D; Basran PS Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():903-912. PubMed ID: 36514233 [TBL] [Abstract][Full Text] [Related]
31. 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]
32. Artificial intelligence in oral and maxillofacial radiology: what is currently possible? Heo MS; Kim JE; Hwang JJ; Han SS; Kim JS; Yi WJ; Park IW Dentomaxillofac Radiol; 2021 Mar; 50(3):20200375. PubMed ID: 33197209 [TBL] [Abstract][Full Text] [Related]
34. On the Fuzziness of Machine Learning, Neural Networks, and Artificial Intelligence in Radiation Oncology. El Naqa I; Brock K; Yu Y; Langen K; Klein EE Int J Radiat Oncol Biol Phys; 2018 Jan; 100(1):1-4. PubMed ID: 29254765 [No Abstract] [Full Text] [Related]
35. Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists. Haneberg AG; Pierre K; Winter-Reinhold E; Hochhegger B; Peters KR; Grajo J; Arreola M; Asadizanjani N; Bian J; Mancuso A; Forghani R Semin Roentgenol; 2023 Apr; 58(2):152-157. PubMed ID: 37087135 [TBL] [Abstract][Full Text] [Related]
36. An Educational Graphical User Interface to Construct Convolutional Neural Networks for Teaching Artificial Intelligence in Radiology. Jin H; Wagner MW; Ertl-Wagner B; Khalvati F Can Assoc Radiol J; 2023 Aug; 74(3):526-533. PubMed ID: 36475925 [TBL] [Abstract][Full Text] [Related]
37. 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]
38. [Artificial intelligence applied to radiation oncology]. Bibault JE; Burgun A; Giraud P Cancer Radiother; 2017 May; 21(3):239-243. PubMed ID: 28433591 [TBL] [Abstract][Full Text] [Related]
39. Artificial intelligence in oncology: From bench to clinic. Elkhader J; Elemento O Semin Cancer Biol; 2022 Sep; 84():113-128. PubMed ID: 33915289 [TBL] [Abstract][Full Text] [Related]
40. A brief introduction to concepts and applications of artificial intelligence in dental imaging. Pauwels R Oral Radiol; 2021 Jan; 37(1):153-160. PubMed ID: 32803680 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]