 Connection
Harrison Bai to Artificial Intelligence
This is a "connection" page, showing publications Harrison Bai has written about Artificial Intelligence.
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Connection Strength |
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3.836 |
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Zhao L, Imami MR, Wang Y, Mao Y, Hsu WC, Chen R, Mena E, Li Y, Tang J, Wu J, Voter AF, Amindarolzarbi A, Kargilis D, Afyouni S, Gafita A, Chen J, Chin BB, Leal JP, Du Y, Lin G, Jiao Z, Choyke PL, Rowe SP, Pomper MG, Liao W, Bai HX. Artificial intelligence-based lesion characterization and outcome prediction of prostate cancer on [18F]DCFPyL PSMA imaging. Radiother Oncol. 2026 01; 214:111265.
Score: 0.647
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Eweje FR, Byun S, Chandra R, Hu F, Kamel I, Zhang P, Jiao Z, Bai HX. Translatability Analysis of National Institutes of Health-Funded Biomedical Research That Applies Artificial Intelligence. JAMA Netw Open. 2022 01 04; 5(1):e2144742.
Score: 0.496
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Thomasian NM, Kamel IR, Bai HX. Machine intelligence in non-invasive endocrine cancer diagnostics. Nat Rev Endocrinol. 2022 02; 18(2):81-95.
Score: 0.491
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Jiao Z, Choi JW, Halsey K, Tran TML, Hsieh B, Wang D, Eweje F, Wang R, Chang K, Wu J, Collins SA, Yi TY, Delworth AT, Liu T, Healey TT, Lu S, Wang J, Feng X, Atalay MK, Yang L, Feldman M, Zhang PJL, Liao WH, Fan Y, Bai HX. Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study. Lancet Digit Health. 2021 05; 3(5):e286-e294.
Score: 0.470
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Bai HX, Wang R, Xiong Z, Hsieh B, Chang K, Halsey K, Tran TML, Choi JW, Wang DC, Shi LB, Mei J, Jiang XL, Pan I, Zeng QH, Hu PF, Li YH, Fu FX, Huang RY, Sebro R, Yu QZ, Atalay MK, Liao WH. Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology. 2020 09; 296(3):E156-E165.
Score: 0.441
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Dai Y, Zhong Z, Qin Y, Wang Y, Yu G, Kobets A, Swenson DW, Boxerman JL, Li G, Robinson S, Bai H, Yang L, Liao W, Jiao Z. AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study. Hum Brain Mapp. 2025 Oct 01; 46(14):e70363.
Score: 0.161
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Hsieh C, Laguna A, Ikeda I, Maxwell AWP, Chapiro J, Nadolski G, Jiao Z, Bai HX. Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma. Radiology. 2023 11; 309(2):e222891.
Score: 0.141
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Santhanam P, Nath T, Peng C, Bai H, Zhang H, Ahima RS, Chellappa R. Artificial intelligence and body composition. Diabetes Metab Syndr. 2023 Mar; 17(3):102732.
Score: 0.134
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Meng S, Tran TML, Hu M, Wang P, Yi T, Zhong Z, Wang L, Vogt B, Jiao Z, Barman A, Cetintemel U, Chang K, Nguyen DT, Hui FK, Pan I, Xiao B, Yang L, Zhou H, Bai HX. End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study. J Stroke Cerebrovasc Dis. 2022 Nov; 31(11):106753.
Score: 0.130
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Chapiro J, Allen B, Abajian A, Wood B, Kothary N, Daye D, Bai H, Sedrakyan A, Diamond M, Simonyan V, McLennan G, Abi-Jaoudeh N, Pua B. Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside. J Vasc Interv Radiol. 2022 09; 33(9):1113-1120.
Score: 0.129
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Hu R, Li H, Horng H, Thomasian NM, Jiao Z, Zhu C, Zou B, Bai HX. Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI. Sci Rep. 2022 05 13; 12(1):7924.
Score: 0.127
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Yi T, Pan I, Collins S, Chen F, Cueto R, Hsieh B, Hsieh C, Smith JL, Yang L, Liao WH, Merck LH, Bai H, Merck D. DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. J Digit Imaging. 2021 12; 34(6):1405-1413.
Score: 0.122
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Wang R, Jiao Z, Yang L, Choi JW, Xiong Z, Halsey K, Tran TML, Pan I, Collins SA, Feng X, Wu J, Chang K, Shi LB, Yang S, Yu QZ, Liu J, Fu FX, Jiang XL, Wang DC, Zhu LP, Yi XP, Healey TT, Zeng QH, Liu T, Hu PF, Huang RY, Li YH, Sebro RA, Zhang PJL, Wang J, Atalay MK, Liao WH, Fan Y, Bai HX. Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data. Eur Radiol. 2022 Jan; 32(1):205-212.
Score: 0.120
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Bai HX, Thomasian NM. RICORD: A Precedent for Open AI in COVID-19 Image Analytics. Radiology. 2021 04; 299(1):E219-E220.
Score: 0.116
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Wang R, Cai Y, Lee IK, Hu R, Purkayastha S, Pan I, Yi T, Tran TML, Lu S, Liu T, Chang K, Huang RY, Zhang PJ, Zhang Z, Xiao E, Wu J, Bai HX. Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging. Eur Radiol. 2021 Jul; 31(7):4960-4971.
Score: 0.114
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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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