179 related articles for article (PubMed ID: 38477659)
1. Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.
Kitamura FC; Prevedello LM; Colak E; Halabi SS; Lungren MP; Ball RL; Kalpathy-Cramer J; Kahn CE; Richards T; Talbott JF; Shih G; Lin HM; Andriole KP; Vazirabad M; Erickson BJ; Flanders AE; Mongan J
Radiol Artif Intell; 2024 May; 6(3):e230227. PubMed ID: 38477659
[TBL] [Abstract][Full Text] [Related]
2. Artificial Intelligence and Radiology Education.
Tejani AS; Elhalawani H; Moy L; Kohli M; Kahn CE
Radiol Artif Intell; 2023 Jan; 5(1):e220084. PubMed ID: 36721409
[TBL] [Abstract][Full Text] [Related]
3. Current challenges of implementing artificial intelligence in medical imaging.
Saw SN; Ng KH
Phys Med; 2022 Aug; 100():12-17. PubMed ID: 35714523
[TBL] [Abstract][Full Text] [Related]
4. Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
Geis JR; Brady AP; Wu CC; Spencer J; Ranschaert E; Jaremko JL; Langer SG; Kitts AB; Birch J; Shields WF; van den Hoven van Genderen R; Kotter E; Gichoya JW; Cook TS; Morgan MB; Tang A; Safdar NM; Kohli M
J Am Coll Radiol; 2019 Nov; 16(11):1516-1521. PubMed ID: 31585696
[TBL] [Abstract][Full Text] [Related]
5. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA.
Brady AP; Allen B; Chong J; Kotter E; Kottler N; Mongan J; Oakden-Rayner L; Dos Santos DP; Tang A; Wald C; Slavotinek J
Radiol Artif Intell; 2024 Jan; 6(1):e230513. PubMed ID: 38251899
[TBL] [Abstract][Full Text] [Related]
6. Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
Geis JR; Brady AP; Wu CC; Spencer J; Ranschaert E; Jaremko JL; Langer SG; Kitts AB; Birch J; Shields WF; van den Hoven van Genderen R; Kotter E; Gichoya JW; Cook TS; Morgan MB; Tang A; Safdar NM; Kohli M
Can Assoc Radiol J; 2019 Nov; 70(4):329-334. PubMed ID: 31585825
[TBL] [Abstract][Full Text] [Related]
7. Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
Geis JR; Brady AP; Wu CC; Spencer J; Ranschaert E; Jaremko JL; Langer SG; Borondy Kitts A; Birch J; Shields WF; van den Hoven van Genderen R; Kotter E; Wawira Gichoya J; Cook TS; Morgan MB; Tang A; Safdar NM; Kohli M
Radiology; 2019 Nov; 293(2):436-440. PubMed ID: 31573399
[TBL] [Abstract][Full Text] [Related]
8. Image annotation and curation in radiology: an overview for machine learning practitioners.
Galbusera F; Cina A
Eur Radiol Exp; 2024 Feb; 8(1):11. PubMed ID: 38316659
[TBL] [Abstract][Full Text] [Related]
9. Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA.
Brady AP; Allen B; Chong J; Kotter E; Kottler N; Mongan J; Oakden-Rayner L; Pinto Dos Santos D; Tang A; Wald C; Slavotinek J
J Med Imaging Radiat Oncol; 2024 Feb; 68(1):7-26. PubMed ID: 38259140
[TBL] [Abstract][Full Text] [Related]
10. Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning.
Hong GS; Jang M; Kyung S; Cho K; Jeong J; Lee GY; Shin K; Kim KD; Ryu SM; Seo JB; Lee SM; Kim N
Korean J Radiol; 2023 Nov; 24(11):1061-1080. PubMed ID: 37724586
[TBL] [Abstract][Full Text] [Related]
11. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.
Brady AP; Allen B; Chong J; Kotter E; Kottler N; Mongan J; Oakden-Rayner L; Dos Santos DP; Tang A; Wald C; Slavotinek J
Can Assoc Radiol J; 2024 May; 75(2):226-244. PubMed ID: 38251882
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence and medical imaging 2018: French Radiology Community white paper.
; ;
Diagn Interv Imaging; 2018 Nov; 99(11):727-742. PubMed ID: 30470627
[TBL] [Abstract][Full Text] [Related]
13. Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA.
Kohli M; Alkasab T; Wang K; Heilbrun ME; Flanders AE; Dreyer K; Kahn CE
J Am Coll Radiol; 2019 Oct; 16(10):1464-1470. PubMed ID: 31319078
[TBL] [Abstract][Full Text] [Related]
14. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.
Wildman-Tobriner B; Buda M; Hoang JK; Middleton WD; Thayer D; Short RG; Tessler FN; Mazurowski MA
Radiology; 2019 Jul; 292(1):112-119. PubMed ID: 31112088
[TBL] [Abstract][Full Text] [Related]
15. Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI.
Larson DB; Doo FX; Allen B; Mongan J; Flanders AE; Wald C
J Am Coll Radiol; 2024 Jul; 21(7):1119-1129. PubMed ID: 38354844
[TBL] [Abstract][Full Text] [Related]
16. Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations.
Esmaeilzadeh P
Artif Intell Med; 2024 May; 151():102861. PubMed ID: 38555850
[TBL] [Abstract][Full Text] [Related]
17. Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup.
Sammer MBK; Akbari YS; Barth RA; Blumer SL; Dillman JR; Farmakis SG; Frush DP; Gokli A; Halabi SS; Iyer R; Joshi A; Kwon JK; Otero HJ; Sher AC; Sotardi ST; Taragin BH; Towbin AJ; Wald C
J Am Coll Radiol; 2023 Aug; 20(8):730-737. PubMed ID: 37498259
[TBL] [Abstract][Full Text] [Related]
18. A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research.
Dishner KA; McRae-Posani B; Bhowmik A; Jochelson MS; Holodny A; Pinker K; Eskreis-Winkler S; Stember JN
J Magn Reson Imaging; 2024 Feb; 59(2):450-480. PubMed ID: 37888298
[TBL] [Abstract][Full Text] [Related]
19. Collaborations of Industry, Academia, Research and Application Improve the Healthy Development of Medical Imaging Artificial Intelligence Industry in China.
Xiao Y; Liu SY
Chin Med Sci J; 2019 Jun; 34(2):84-88. PubMed ID: 31315748
[TBL] [Abstract][Full Text] [Related]
20. Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement.
Geis JR; Brady A; Wu CC; Spencer J; Ranschaert E; Jaremko JL; Langer SG; Kitts AB; Birch J; Shields WF; van den Hoven van Genderen R; Kotter E; Gichoya JW; Cook TS; Morgan MB; Tang A; Safdar NM; Kohli M
Insights Imaging; 2019 Oct; 10(1):101. PubMed ID: 31571015
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]