 Connection
Kaustav Bera to Artificial Intelligence
This is a "connection" page, showing publications Kaustav Bera has written about Artificial Intelligence.
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Connection Strength |
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2.908 |
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Bera K, O'Connor G, Jiang S, Tirumani SH, Ramaiya N. Analysis of ChatGPT publications in radiology: Literature so far. Curr Probl Diagn Radiol. 2024 Mar-Apr; 53(2):215-225.
Score: 0.680
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Bera K, Braman N, Gupta A, Velcheti V, Madabhushi A. Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nat Rev Clin Oncol. 2022 02; 19(2):132-146.
Score: 0.592
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Bera K, Katz I, Madabhushi A. Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology. JCO Clin Cancer Inform. 2020 11; 4:1039-1050.
Score: 0.554
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Bera K, Schalper KA, Rimm DL, Velcheti V, Madabhushi A. Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology. Nat Rev Clin Oncol. 2019 11; 16(11):703-715.
Score: 0.509
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Jiang S, Bukhari SMA, Krishnan A, Bera K, Sharma A, Caovan D, Rosipko B, Gupta A. Deployment of Artificial Intelligence in Radiology: Strategies for Success. AJR Am J Roentgenol. 2025 Feb; 224(2):e2431898.
Score: 0.183
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Hunter JG, Bera K, Shah N, Bukhari SMA, Marshall C, Caovan D, Rosipko B, Gupta A. Real-World Performance of Pneumothorax-Detecting Artificial Intelligence Algorithm and its Impact on Radiologist Reporting Times. Acad Radiol. 2025 Mar; 32(3):1165-1174.
Score: 0.183
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Doddi S, Hibshman T, Salichs O, Bera K, Tippareddy C, Ramaiya N, Tirumani SH. Assessing appropriate responses to ACR urologic imaging scenarios using ChatGPT and Bard. Curr Probl Diagn Radiol. 2024 Mar-Apr; 53(2):226-229.
Score: 0.170
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Hiremath A, Bera K, Yuan L, Vaidya P, Alilou M, Furin J, Armitage K, Gilkeson R, Ji M, Fu P, Gupta A, Lu C, Madabhushi A. Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study. IEEE J Biomed Health Inform. 2021 11; 25(11):4110-4118.
Score: 0.037
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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