Christoph Wald to Societies, Medical
This is a "connection" page, showing publications Christoph Wald has written about Societies, Medical.
Connection Strength
1.977
-
Wald C, Patti JW, Tilkin M, Dreyer K. ACR introduction to the ACR Imaging IT Reference Guide. J Am Coll Radiol. 2014 Dec; 11(12 Pt B):1195-6.
Score: 0.362
-
Duszak R, Haines GR, Van Duyn Wear V, Lexa FJ, Bashir M, D'Souza S, Carlos R, Chen JY, King BF, Wald C. White paper from the ACR Task Force on Print Media in Radiology. J Am Coll Radiol. 2011 Oct; 8(10):692-702.
Score: 0.291
-
Chen PH, Desjardins B, Strassner B, Forghani R, Bodak R, Gichoya J, Whitfill J, Ehman EC, Wald C. Protecting Radiology Data and Devices Against Cybersecurity Threats: A Joint White Paper of the ACR and Society for Imaging Informatics in Medicine. J Am Coll Radiol. 2025 10; 22(10):1160-1172.
Score: 0.190
-
Chen PH, Desjardins B, Strassner B, Forghani R, Bodak R, Gichoya J, Whitfill J, Ehman EC, Wald C. Protecting Radiology Data and Devices Against Cybersecurity Threats: A Joint White Paper of the American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM). J Imaging Inform Med. 2026 Apr; 39(2):1052-1063.
Score: 0.190
-
Larson DB, Bhargavan-Chatfield M, Tilkin M, Coombs L, Wald C. The Road Map for ACR Practice Accreditation for Radiology Artificial Intelligence. J Am Coll Radiol. 2025 05; 22(5):586-592.
Score: 0.184
-
Larson DB, Doo FX, Allen B, Mongan J, Flanders AE, Wald C. Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI. J Am Coll Radiol. 2024 07; 21(7):1119-1129.
Score: 0.171
-
Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Dos Santos DP, Tang A, Wald C, Slavotinek J. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA. Can Assoc Radiol J. 2024 May; 75(2):226-244.
Score: 0.171
-
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. Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup. J Am Coll Radiol. 2023 08; 20(8):730-737.
Score: 0.165
-
Fleishon HB, Wald C, Korn R, Rosenthal S, Fredericks N. The Clinical Research Center: a vital part of the ACR mission. J Am Coll Radiol. 2011 Jun; 8(6):422-7.
Score: 0.071
-
Coombs LP, Brink L, Kim W, Wald C, Schmidt K, Tilkin M, Dreyer K, Cook TS, Bizzo B. ACR's Assess-AI: A Registry for Real-World Performance Monitoring of Clinical Imaging Artificial Intelligence. J Am Coll Radiol. 2026 Aug; 23(8):1557-1566.
Score: 0.050
-
Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O'Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz N. Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Med Phys. 2025 Oct; 52(10):e17779.
Score: 0.048
-
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. Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA. J Med Imaging Radiat Oncol. 2024 Feb; 68(1):7-26.
Score: 0.043
-
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. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA. J Am Coll Radiol. 2024 08; 21(8):1292-1310.
Score: 0.043