Mass General Brigham AI

• Product ideation
• Clinical needs assessment
• Definition of product features and performance metrics
• Deployment considerations and workflow analysis
• Preparation of initial quality documentation (e.g., user needs assessment, design and development plan)

• Definition of inclusion and exclusion criteria for cohort selection
• Dataset creation, including (but not limited to) EHR, imaging and waveform data elements
• Data aggregation, curation, and de-identification
• Data annotation and QA

• Model training
• Model verification/testing
• Model containerization
• Software engineering
• GPU computing infrastructure

• Pre-submission (Q-Sub)
• Pilot and pivotal study design
• Scientific publication roadmap
• Clinical implementation strategy

• Standalone performance assessment

  • Image processing/quantification
  • CADt (triage)
  • CADe (detection)
  • CADx (diagnosis)

• Clinical reader study (CADe, CADx)

• Ground truth and reads by U.S. board certified sub-specialty physicians
• Shadow-mode ‘real-world’ performance analysis
• Clinical workflow impact assessment
• Patient outcome and economic benefit
• Monitoring and post-market surveillance with potential for product enhancement

Publications

• Glazer DI, Bizzo BC, Fuentes DT, Mayo-Smith WW. Artificial intelligence in adrenal imaging. Magn Reson Imaging Clin N Am. 2025 Jul. doi:10.1016/j.mric.2025.06.007. Epub 2025 Jul.
• Gowda V, Bizzo BC, Dreyer KJ. Regulating generative AI in radiology practice: a trilaminar approach to balancing risk with innovation. Acad Radiol. 2025 Jun 4:S1076-6332(25)00460-X. doi: 10.1016/j.acra.2025.05.032. Epub ahead of print. PMID: 40473565.
• Hillis JM, Bizzo BC, Mercaldo SF, Ghatak A, MacDonald AL, Halle MA, Schultz AS, L'Italien E, Tam V, Bart NK, Moura FA, Awad AM, Bargiela D, Dagen S, Toland D, Blood AJ, Gross DA, Jering KS, Lopes MS, Marston NA, Nauffal VD, Dreyer KJ, Scirica BM, Ho CY. Detection of hypertrophic cardiomyopathy on electrocardiogram using artificial intelligence. Circ Heart Fail. 2025 May 14:e012667. doi: 10.1161/CIRCHEARTFAILURE.124.012667. Epub ahead of print. PMID: 40365710.
• Moassefi M, Houshmand S, Faghani S, Chang PD, Sun SH, Khosravi B, Triphati AG, Rasool G, Bhatia NK, Folio L, Andriole KP, Gichoya JW, Erickson BJ. Cross-institutional evaluation of large language models for radiology diagnosis extraction: A prompt-engineering perspective. J Digit Imaging. 2025 May 8. doi: 10.1007/s10278-025-01523-5. Epub ahead of print. PMID: 40341981.
• S Krishna N, Garza-Frias E, Dasegowda G, Kaviani P, Karout L, Fahimi R, Bizzo B, Dreyer KJ, Kalra MK, Digumarthy S. Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study. Radiat Prot Dosimetry. 2025 Apr 22;201(6):441-449. doi: 10.1093/rpd/ncaf018. PMID: 40197806.
• Tripathi S, Mutter L, Muppuri M, Dheer S, Garza-Frias E, Awan K, Jha A, Dezube M, Tabari A, Bizzo BC, Dreyer KJ, Bridge CP, Daye D. PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care. Eur J Radiol. 2025 Apr 16;110210. doi: 10.1016/j.ejrad.2025.112124. Epub ahead of print.
• Glazer DI, Viator M, Sharp A, Patel JB, Dabiri BE, Bridge CP, Barletta JA, Pianykh OS, Mayo-Smith WW. Using interpretable rule-learning artificial intelligence to optimally differentiate adrenal pheochromocytomas from adenomas with CT radiomics. Abdom Radiol (NY). 2025 Mar 26. doi: 10.1007/s00261-025-04893-0. Epub ahead of print. PMID: 40137949.
• Yatim K, Ribas GT, Elton DC, Rockenbach MABC, Al Jurdi A, Pickhardt PJ, Garrett JW, Dreyer KJ, Bizzo BC, Riella LV. Applying artificial intelligence to quantify body composition on abdominal CTs and better predict kidney transplantation wait-list mortality. J Am Coll Radiol. 2025 Mar;22(3):332-341. doi:10.1016/j.jacr.2025.01.004. PMID: 40044312.
• Niu C, Lyu Q, Carothers CD, Kaviani P, Tan J, Yan P, Kalra MK, Whitlow CT, Wang G. Medical multimodal multitask foundation model for lung cancer screening. Nat Commun. 2025 Feb 11;16(1):1523. doi: 10.1038/s41467-025-56822-w. PMID: 39934138; PMCID: PMC11814333.
• Alkawadri R, Hillis JM, Asano E. Editorial: Exploring the future of neurology: how AI is revolutionizing diagnoses, treatments, and beyond. Front Neurol. 2025 Feb 5;16:1556510. doi: 10.3389/fneur.2025.1556510. PMID: 39974367; PMCID: PMC11835669.
• Hillis JM, Cliff ERS, Vokinger KN. AI devices in neurology-moving from diagnosis to prognosis. JAMA Neurol. 2025 Feb 1;82(2):117-118. doi: 10.1001/jamaneurol.2024.3835. PMID: 39556390.
• Dorfner FJ, Patel JB, Kalpathy-Cramer J, Gerstner ER, Bridge CP. A review of deep learning for brain tumor analysis in MRI. NPJ Precis Oncol. 2025 Jan 3;9(1):2. doi: 10.1038/s41698-024-00789-2. PMID: 39753730; PMCID: PMC11698745.

• Brink L, Romero RA, Coombs L, Tilkin M, Mazaheri S, Gichoya J, Zaiman Z, Trivedi H, Medina A, Bizzo BC, Chang K, Kalpathy-Cramer J, Kalra MK, Astuto B, Ramirez C, Majumdar S, Lee AY, Lee CI, Cross NM, Chen PH, Ciancibello M, Chiunda A, Nachand D, Shah C, Wald C. Multi-institutional evaluation and training of breast density classification AI algorithm using ACR connect and AI-LAB. J Am Coll Radiol. 2024 Nov 15:S1546-1440(24)00912-8. doi: 10.1016/j.jacr.2024.11.003. PMID: 39551328.
• Hillis JM, Payne K. Health AI needs meaningful human involvement: lessons from war. Nat Med. 2024 Oct 16. doi: 10.1038/s41591-024-03311-0. PMID: 39415024.
• Dorfner FJ, Jürgensen L, Donle L, Al Mohamad F, Bodenmann TR, Cleveland MC, Busch F, Adams LC, Sato J, Schultz T, Kim AE, Merkow J, Bressem KK, Bridge CP. Comparing commercial and open-source large language models for labeling chest radiograph reports. Radiology. 2024 Oct;313(1):e241139. doi: 10.1148/radiol.241139. PMID: 39470431.
• Ghatak A, Hillis JM, Mercaldo SF, Newbury-Chaet I, Chin JK, Digumarthy SR, Rodriguez K, Muse VV, Andriole KP, Dreyer KJ, Kalra MK, Bizzo BC. The potential clinical utility of an artificial intelligence model for identification of vertebral compression fractures in chest radiographs. J Am Coll Radiol. 2024 Sep 17:S1546-1440(24)00766-X. doi: 10.1016/j.jacr.2024.08.026. PMID: 39299617.
• Dasegowda G, Sato JY, Elton DC, Garza-Frias E, Schultz T, Bridge CP, Bizzo BC, Kalra MK, Dreyer KJ. No code machine learning: validating the approach on use-case for classifying clavicle fractures. Clin Imaging. 2024 Aug;112:110207. doi: 10.1016/j.clinimag.2024.110207. Epub 2024 May 31. PMID: 38838448.
• Eltorai AEM, McKinney SE, Rockenbach MABC, Karuppiah S, Bizzo BC, Andriole KP. Primary care provider perspectives on the value of opportunistic CT screening. Clin Imaging. 2024 Aug;112:110210. doi: 10.1016/j.clinimag.2024.110210. Epub 2024 Jun 1. PMID: 38850710.
• Newbury-Chaet I, Mercaldo SF, Chin JK, Ghatak A, Halle MA, MacDonald AL, Buch K, Conklin J, Mehan WA Jr, Pomerantz S, Rincon S, Dreyer KJ, Bizzo BC, Hillis JM. Evaluation of an artificial intelligence model for identification of mass effect and vasogenic edema on CT of the head. AJNR Am J Neuroradiol. 2024 Aug 15. doi: 10.3174/ajnr.A8358. Epub ahead of print. PMID: 38806239.
• Bredella MA, Fintelmann FJ, Iafrate AJ, Dagogo-Jack I, Dreyer KJ, Louis DN, Brink JA, Lennerz JK. Administrative alignment for integrated diagnostics leads to shortened time to diagnose and service optimization. Radiology. 2024 Jul;312(1):e240335. doi: 10.1148/radiol.240335. PMID: 39078305; PMCID: PMC11294756.
• Kathait AS, Garza-Frias E, Sikka T, Schultz TJ, Bizzo B, Kalra MK, Dreyer KJ. Assessing laterality errors in radiology: comparing generative AI and natural language processing. J Am Coll Radiol. 2024 Jul 1:S1546-1440(24)00591-X. doi: 10.1016/j.jacr.2024.06.014. PMID: 38960083.
• Garza-Frias E, Kaviani P, Karout L, Fahimi R, Hosseini S, Putha P, Tadepalli M, Kiran S, Arora C, Robert D, Bizzo B, Dreyer KJ, Kalra MK, Digumarthy SR. Early detection of heart failure with autonomous AI-based model using chest radiographs: a multicenter study. Diagnostics (Basel). 2024 Jul 30;14(15):1635. doi: 10.3390/diagnostics14151635. PMID: 39125511; PMCID: PMC11311468.
• Hillis JM, Bizzo BC, Newbury‐Chaet I, Mercaldo SF, Chin JK, Ghatak A, Halle MA, L'Italien E, MacDonald AL, Schultz AS, Buch K, Conklin J, Pomerantz S, Rincon S, Dreyer KJ, Mehan WA. Evaluation of an Artificial Intelligence Model for Identification of Intracranial Hemorrhage Subtypes on Computed Tomography of the Head. Stroke: Vascular and Interventional Neurology. 2024;4(4):e001223. doi: 10.1161/SVIN.123.001223.
• Jiang Z, Song W, Yan Y, Li A, Shen Y, Lu S, Lv T, Li X, Li T, Zhang X, Wang X, Qi Y, Hua W, Tang M, Liu T. Automated valvular heart disease detection using heart sound with a deep learning algorithm. Int J Cardiol Heart Vasc. 2024 Mar 5;51:101368. doi: 10.1016/j.ijcha.2024.101368. PMID: 38482387; PMCID: PMC10933456.
• Hillis JM, Visser JJ, Cliff ERS, van der Geest-Aspers K, Bizzo BC, Dreyer KJ, Adams-Prassl J, Andriole KP. The lucent yet opaque challenge of regulating artificial intelligence in radiology. NPJ Digit Med. 2024 Mar 15;7(1):69. doi: 10.1038/s41746-024-01071-2. PMID:38491126; PMCID: PMC10942968.
• Kim S, Ren H, Charton J, Hu J, Maraboto Gonzalez CA, Khambhati J, Cheng J, DeFrancesco J, Waheed AA, Marciniak S, Moura F, Cardoso RN, Lima BB, McKinney S, Picard MH, Li X, Li Q. Assessment of valve regurgitation severity via contrastive learning and multi-view video integration. Phys Med Biol. 2024 Feb 12;69(4). doi: 10.1088/1361-6560/ad22a4. PMID: 38271727.

• Bizzo BC, Dasegowda G, Bridge C, Miller B, Hillis JM, Kalra MK, Durniak K, Stout M, Schultz T, Alkasab T, Dreyer KJ. Addressing the challenges of implementing artificial intelligence tools in clinical practice: principles from experience. J Am Coll Radiol. 2023 Mar;20(3):352-360. doi: 10.1016/j.jacr.2023.01.002. PMID: 36922109.
• Ebrahimian S, Digumarthy SR, Bizzo BC, Dreyer KJ, Kalra MK. Automatic segmentation and measurement of tracheal collapsibility in tracheomalacia. Clin Imaging. 2023 Mar;95:47-51. doi: 10.1016/j.clinimag.2022.11.020. Epub 2022 Dec 7. PMID: 36610270.
• Robinson-Weiss C, Patel J, Bizzo BC, Glazer DI, Bridge CP, Andriole KP, Dabiri B, Chin JK, Dreyer K, Kalpathy-Cramer J, Mayo-Smith WW. Machine learning for adrenal gland segmentation and classification of normal and adrenal masses at CT. Radiology. 2023 Feb;306(2).
• Kaviani P, Primak A, Bizzo B, Ebrahimian S, Saini S, Dreyer KJ, Kalra MK. Performance of threshold-based stone segmentation and radiomics for determining the composition of kidney stones from single-energy CT. Jpn J Radiol. 2023 Feb;41,194-200.
• Dasegowda G, Bizzo BC, Kaviani P, Karout L, Ebrahimian S, Digumarthy SR, Neumark N, Hillis JM, Kalra MK, Dreyer KJ. Auto-detection of motion artifacts on CT pulmonary angiograms with a physician-trained AI algorithm. Diagnostics (Basel). 2023 Feb 18;13(4):778. doi: 10.3390/diagnostics13040778. PMID: 36832266; PMCID: PMC9955317.
• Gauriau R, Bizzo BC, Comeau DS, Hillis JM, Bridge CP, Chin JK, Pawar J, Pourvaziri A, Sesic I, Sharaf E, Cao J, Noro FTC, Wiggins WF, Caton MT, Kitamura F, Dreyer KJ, Kalafut JF, Andriole KP, Pomerantz SR, Gonzalez RG, Lev MH. Head CT deep learning model is highly accurate for early infarct estimation. Sci Rep. 2023 Jan 5;13(1):189. doi: 10.1038/s41598-023-27496-5. PMID: 36604467; PMCID: PMC9814956.
• Haber MA, Biondetti GP, Gauriau R, Levy S, Cha J, Mowla A, Ormachea J, Lev MH, Pomerantz SR, Andriole KP, Dreyer KJ, Kalafut JF, Bizzo BC. Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network. Neural Comput & Appl. 2023;35(13):9907-9915. doi: 10.1007/s00521-023-08225-5

• Hillis JM, Bizzo BC, Mercaldo S, Chin JK, Newbury-Chaet I, Digumarthy SR, Gilman MD, Muse VV, Bottrell G, Seah JCY, Jones CM, Kalra MK, Dreyer KJ. Evaluation of an artificial intelligence model for detection of pneumothorax and tension pneumothorax in chest radiographs. JAMA Netw Open. 2022 Dec 1;5(12):e2247172. doi: 10.1001/jamanetworkopen.2022.47172. PMID: 36520432; PMCID: PMC9856508.
• Kaviani P, Bizzo BC, Digumarthy SR, Dasegowda G, Karout L, Hillis J, Neumark N, Kalra MK, Dreyer KJ. Radiologist-trained and -tested (R2.2.4) deep learning models for identifying anatomical landmarks in chest CT. Diagnostics (Basel). 2022 Jul 30;12(8):1844. doi: 10.3390/diagnostics12081844. PMID: 36010194; PMCID: PMC9407000.
• Bizzo BC, Ebrahimian S, Walters ME, Michalski MH, Andriole KP. Validation pipeline for machine learning algorithm assessment for multiple vendors. PLos One. 2022 Apr 1;17(4):e0267213. doi: 10.1371/journal.pone.0267213.
• Hillis JM, Bizzo BC. Use of artificial intelligence in clinical neurology. Semin Neurol. 2022 Feb;42(1):39-47. doi: 10.1055/s-0041-1742180. Epub 2022 May 16. PMID: 35576929.
• Bridge CP, Bizzo BC, Hillis JM, Chin JK, Comeau DS, Gauriau R, Macruz F, Pawar J, Noro FTC, Sharaf E, Straus Takahashi M, Wright B, Kalafut JF, Andriole KP, Pomerantz SR, Pedemonte S, González RG. Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging. Sci Rep. 2022 Feb 9;12(1):2154. doi: 10.1038/s41598-022-06021-0. PMID: 35140277; PMCID: PMC8828773.
• Ebrahimian S, Kalra MK, Agarwal S, Bizzo BC, Elkholy M, Wald C, Allen B, Dreyer KJ. FDA-regulated AI algorithms: trends, strengths, and gaps of validation studies. Acad Radiol. 2022 Apr;29(4):559-566. doi: 10.1016/j.acra.2021.09.002. Epub 2021 Dec 27. PMID: 34969610.
• Dasegowda G, Bizzo BC, Gupta RV, Kaviani P, Ebrahimian S, Ricciardelli D, Dreyer KJ. Successful creation of clinical AI without data scientists or software developers: radiologist-trained AI model for identifying suboptimal chest radiographs [preprint]. Res Sq. 2022. doi: 10.21203/rs.3.rs-1570309/v1
• Ebrahimian S, Digumarthy SR, Homayounieh F, Bizzo BC, Dreyer KJ, Kalra MK. Predictive values of AI-based triage model in suboptimal CT pulmonary angiography. Clinical Imaging. 2022 Jun;86:25–30. doi: 10.1016/j.clinimag.2022.03.011
• Ebrahimian S, Kalra MK, Agarwal S, Bizzo BC, Elkholy M, Wald C, Allen B, Dreyer KJ. FDA-regulated AI algorithms: trends, strengths, and gaps of validation studies. Acad Radiol. 2022 Apr;29(4):559-566. doi: 10.1016/j.acra.2021.09.002. Epub 2021 Dec 27. PMID: 34969610.
• Bridge CP, Best TD, Wrobel MM, Marquardt JP, Magudia K, Javidan C, Chung JH, Kalpathy‑Cramer J, Andriole KP, Fintelmann FJ. A fully automated deep learning pipeline for multi‑vertebral level quantification and characterization of muscle and adipose tissue on chest CT scans. Radiol Artif Intell. 2022 Jan;4(1):e210080. doi: 10.1148/ryai.210080. PMID: 35146434; PMCID: PMC8823460.
• Kim D, Chung J, Choi J, Succi MD, Conklin J, Longo MGF, Ackman JB, Little BP, Petranovic M, Kalra MK, Lev MH, Do S. Accurate auto-labeling of chest X‑ray images based on quantitative similarity to an explainable AI model. Nat Commun. 2022 Dec;13(1):1867. doi: 10.1038/s41467-022-29437-8. PMID: 35388010; PMCID: PMC8986787.
• Traub S, Pianykh OS. An alternative to the black box: strategy learning. PLoS One. 2022 Mar 18;17(3):e0264485. doi: 10.1371/journal.pone.0264485. PMID: 35302996; PMCID: PMC8932616.
• Sankaradar P, Fein AM, Lee KS, Homayounieh F, Bizzo BC, Digumarthy SR, Kalra MK, Dreyer KJ. Artificial intelligence has similar performance to subjective assessment of emphysema severity on chest CT. Acad Radiol. 2022;29(8):1152-1159. doi: 10.1016/j.acra.2021.09.007. PMID: 34657812.
• Ahn JS, Ebrahimian S, McDermott S, Lee S, Naccarato L, Di Capua JF, Wu MY, Zhang EW, Muse V, Miller B, Sabzalipour F, Bizzo BC, Dreyer KJ, Kaviani P, Digumarthy SR, Kalra MK. Association of artificial intelligence-aided chest radiograph interpretation with reader performance and efficiency. JAMA Netw Open. 2022 Aug 1;5(8):e2229289. doi:10.1001/jamanetworkopen.2022.29289. PMID: 36044215; PMCID: PMC9434361.
• Gupta RV, Kalra MK, Ebrahimian S, Kaviani P, Primak A, Bizzo BC, Dreyer KJ. Complex relationship between artificial intelligence and CT radiation dose. Acad Radiol. 2022 Oct;28(11):1709-19. doi: 10.1016/j.acra.2021.10.024. Epub 2021 Nov 24. PMID: 34836775.
• Bizzo BC, Almeida RR, Alkasab TK. Computer‑assisted reporting and decision support in standardized radiology reporting for cancer imaging. JCO Clin Cancer Inform. 2022 Jan;6. doi: 10.1200/CCI.20.00129.
• Ebrahimian S, Kathoat AS, Digumarthy SR, Prakash V, Challa V, Putha P, Modi A, Bizzo BC, Dreyer KJ, Kalra MK. Correlating malignancy risk from an artificial intelligence (ai) algorithm and lung-rads-based classification from screening low-dose ct imaging. Chest. 2022 Oct 1;162(4):A1598–A1599.
• Bridge CP, Bizzo BC, Hillis JM, Chin JK, Comeau DS, Gauriau R, Macruz F, Pawar J, Noro FTC, Sharaf E, Takahashi MS, Wright B, Kalafut JF, Andriole KP, Pomerantz SR, Pedemonte S, González RG. Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging. Sci Rep [Internet]. 2022 Feb 9; doi: 10.1038/s41598-022-06021-0.
• Kaviani P, Kalra MK, Digumarthy SR, Gupta RV, Dasegowda G, Jagirdar A, Gupta S, Putha P, Mahajan V, Reddy B, Venugopal VK, Tadepalli M, Bizzo BC, Dreyer KJ. Frequency of missed findings on chest radiographs (CXRs) in an international, multicenter study: application of AI to reduce missed findings. Diagnostics (Basel). 2022 Sep 30;12(10):2382. doi: 10.3390/diagnostics12102382. PMID: 36292071; PMCID: PMC9600490.
• Pourvaziri A, Narayan AK, Tso DK, Baliyan V, Glover M, Bizzo B, Kako B, Succi MD, Lev MH, Flores EJ. Imaging information overload: quantifying the burden of interpretive and non-interpretive tasks for computed tomography angiography for aortic pathologies in emergency radiology. Current Problems in Diagnostic Radiology. 2022 Jun 9;51(4):546–551.
• Daye D, Wiggins WF, Lungren MP, Alkasab T, Kottler N, Allen B, Roth CJ, Bizzo BC, Durniak K, Brink JA, Larson DB, Dreyer KJ, Langlotz CP. Implementation of clinical artificial intelligence in radiology: who decides and how?. Radiology. 2022 Dec;305(3)555-563.
• Bridge CP, Fredriksson A, Guan J, Bryson S, Hillis JM, Mercaldo S, Morley RJ, Li MD, Li X, L’Italien E, Sack D, Zhong A, Dreyer KJ, Flores M, Kalpathy-Cramer J, Li Q, Lamb LR, Lehman CD, Schultz T, Andriole KP, Compas C, Bizzo BC, Haukioja R. Large-scale model validation in healthcare. [Internet]. 2022.
• Kaviani P, Digumarthy SR, Bizzo BC, Reddy B, Tadepalli M, Putha P, Jagirdar A, Ebrahimian S, Kalra MK, Dreyer KJ. Performance of a chest radiography AI algorithm for detection of missed or mislabeled findings: a multicenter study. Diagnostics. 2022 Aug;12(9)2086. https://doi.org/10.3390/diagnostics12092086

• Bizzo BC, Almeida RR, Alkasab TK. Artificial intelligence enabling radiology reporting. Radiol Clin North Am. 2021 Nov;59(6):1045-1052. doi: 10.1016/j.rcl.2021.07.004. PMID: 34689872.
• Ebrahimian S, Homayounieh F, Rockenbach MABC, Putha P, Raj T, Dayan I, Bizzo BC, Buch V, Wu D, Kim K, Li Q, Digumarthy SR, Kalra MK. Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study. Sci Rep. 2021 Jan 13;11(1):858. doi: 10.1038/s41598-020-79470-0. PMID: 33441578; PMCID: PMC7807029.
• Almeida RR, Bizzo BC, Singh R, Andriole KP, Alkasab TK. Computer-assisted reporting and decision support increases compliance with follow-up imaging and hormonal screening of adrenal incidentalomas. Acad Radiol. 2022 Feb;29(2):236-244. doi: 10.1016/j.acra.2021.01.019. Epub 2021 Feb 12. PMID: 33583714.
• Bizzo BC, Almeida RR, Alkasab TK. Data management in artificial intelligence-assisted radiology reporting. J Am Coll Radiol. 2021 Nov;18(11):1485-1488. doi: 10.1016/j.jacr.2021.09.017. Epub 2021 Oct 6. PMID: 34624236.
• Zhong A, Li X, Wu D, Ren H, Kim K, Kim Y, Buch V, Neumark N, Bizzo B, Tak WY, Park SY, Lee YR, Kang MK, Park JG, Kim BS, Chung WJ, Guo N, Dayan I, Kalra MK, Li Q. Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Med Image Anal. 2021 May;70:101993. doi: 10.1016/j.media.2021.101993. Epub 2021 Feb 7. PMID: 33711739; PMCID: PMC8032481.
• Travis Caton M Jr, Wiggins WF, Pomerantz SR, Andriole KP. Effects of age and sex on the distribution and symmetry of lumbar spinal and neural foraminal stenosis: a natural language processing analysis of 43,255 lumbar MRI reports. Neuroradiology. 2021 Jun;63(6):959-966. doi: 10.1007/s00234-021-02670-6. Epub 2021 Feb 16. PMID: 33594502; PMCID: PMC8128837.
• Dayan I, Roth HR, Zhong A, et al. Federated learning for predicting clinical outcomes in patients with COVID-19. Nat Med. 2021 Oct;27(10):1735-1743. doi: 10.1038/s41591-021-01506-3. Epub 2021 Sep 15. PMID: 34526699; PMCID: PMC9157510.
• Ebrahimian S, Oliveira Bernardo M, Alberto Moscatelli A, Tapajos J, Leitão Tapajós L, Jamil Khoury H, Babaei R, Karimi Mobin H, Mohseni I, Arru C, Carriero A, Falaschi Z, Pasche A, Saba L, Homayounieh F, Bizzo BC, Vassileva J, Kalra MK. Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: mitigating key radioprotection issues. Phys Med. 2021 Apr;84:125-131. doi: 10.1016/j.ejmp.2021.04.001. Epub 2021 Apr 21. PMID: 33894582; PMCID: PMC8058535.
• Alkasab TK, Bizzo BC. Lessons learned from the front lines of artificial intelligence implementation. J Am Coll Radiol. 2021 Nov;18(11):1474-1475. doi: 10.1016/j.jacr.2021.09.019. Epub 2021 Oct 9. PMID: 34637776.
• Caton MT Jr, Wiggins WF, Pomerantz SR, Andriole KP. Lumbar MRI reporting efficiency for trainees over the academic year: an opportunity for improving clinical workflows in academic medical centers. J Am Coll Radiol. 2021 Mar;18(3 Pt A):428-434. doi: 10.1016/j.jacr.2020.08.006. Epub 2020 Sep 8. PMID: 32916156.
• Homayounieh F, Bezerra Cavalcanti Rockenbach MA, Ebrahimian S, Doda Khera R, Bizzo BC, Buch V, Babaei R, Karimi Mobin H, Mohseni I, Mitschke M, Zimmermann M, Durlak F, Rauch F, Digumarthy SR, Kalra MK. Multicenter assessment of CT pneumonia analysis prototype for predicting disease severity and patient outcome. J Digit Imaging. 2021 Apr;34(2):320-329. doi: 10.1007/s10278-021-00430-9. Epub 2021 Feb 25. PMID: 33634416; PMCID: PMC7906242.
• Homayounieh F, Doda Khera R, Bizzo BC, Ebrahimian S, Primak A, Schmidt B, Saini S, Kalra MK. Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study. Abdom Radiol (NY). 2021 May;46(5):2097-2106. doi: 10.1007/s00261-020-02865-0. Epub 2020 Nov 26. PMID: 33242099; PMCID: PMC7690335.
• Caton MT Jr, Wiggins WF, Pomerantz SR, Andriole KP. The composite severity score for lumbar spine MRI: a metric of cumulative degenerative disease predicts time spent on interpretation and reporting. J Digit Imaging. 2021 Aug;34(4):811-819. doi: 10.1007/s10278-021-00462-1. Epub 2021 May 23. PMID: 34027590; PMCID: PMC8455764.
• Magudia K, Bridge CP, Andriole KP, Rosenthal MH. The trials and tribulations of assembling large medical imaging datasets for machine learning applications. J Digit Imaging. 2021 Dec;34(6):1424-1429. doi: 10.1007/s10278-021-00505-7. Epub 2021 Oct 4. PMID: 34608591; PMCID: PMC8669054.
• Lacson RC, Baker B, Suresh H, Andriole K, Szolovits P, Lacson E Jr. Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients. Clin Kidney J. 2018 Jul 3;12(2):206-212. doi: 10.1093/ckj/sfy049. PMID: 30976397; PMCID: PMC6452173.

• Lu C, Strout J, Gauriau R, Wright B, Marcruz FBC, Buch V, Andriole K. An overview and case study of the clinical AI model development life cycle for healthcare systems. 2020. https://doi.org/10.48550/arXiv.2003.07678.
• Homayounieh F, Ebrahimian S, Babaei R, Mobin HK, Zhang E, Bizzo BC, Mohseni I, Digumarthy SR, Kalra MK. CT Radiomics, radiologists, and clinical information in predicting outcome of patients with COVID-19 pneumonia. Radiol Cardiothorac Imaging. 2020 Jul 23;2(4):e200322. doi: 10.1148/ryct.2020200322. PMID: 33778612; PMCID: PMC7380121.
• Roth HR, Chang K, Singh P, et al. Federated learning for breast density classification: a real-world implementation. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. 2020. https://doi.org/10.1007/978-3-030-60548-3_18.
• Li MD, Arun NT, Aggarwal M, Gupta S, Singh P, Little BP, Mendoza DP, Corradi GCA, Takahashi MS, Ferraciolli SF, Succi MD, Lang M, Bizzo BC, Dayan I, Kitamura FC, Kalpathy-Cramer J. Improvement and multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19. medRxiv [Preprint]. 2020 Sep 18:2020.09.15.20195453. doi: 10.1101/2020.09.15.20195453. Update in: Medicine (Baltimore). 2022 Jul 22;101(29):e29587. doi: 10.1097/MD.0000000000029587. PMID: 32995811; PMCID: PMC7523150.
• Magudia K, Bridge CP, Bay CP, Babic A, Fintelmann FJ, Troschel FM, Miskin N, Wrobel WC, Brais LK, Andriole KP, Wolpin BM, Rosenthal MH. Population-scale CT-based body composition analysis of a large outpatient population using deep learning to derive age-, sex-, and race-specific reference curves. Radiology. 2021 Feb;298(2):319-329. doi: 10.1148/radiol.2020201640. Epub 2020 Nov 24. PMID: 33231527; PMCID: PMC8128280.
• Wiggins WF, Caton MT, Magudia K, Glomski SA, George E, Rosenthal MH, Gaviola GC, Andriole KP. Preparing radiologists to lead in the era of artificial intelligence: designing and implementing a focused data science pathway for senior radiology residents. Radiol Artif Intell. 2020 Nov 4;2(6):e200057. doi: 10.1148/ryai.2020200057. PMID: 33937848; PMCID: PMC8082300.
• Wu D, Gong K, Arru CD, Homayounieh F, Bizzo B, Buch V, Ren H, Kim K, Neumark N, Xu P, Liu Z, Fang W, Xie N, Tak WY, Park SY, Lee YR, Kang MK, Park JG, Carriero A, Saba L, Masjedi M, Talari H, Babaei R, Mobin HK, Ebrahimian S, Dayan I, Kalra MK, Li Q. Severity and consolidation quantification of COVID-19 from CT images using deep learning based on hybrid weak labels. IEEE J Biomed Health Inform. 2020 Dec;24(12):3529-3538. doi: 10.1109/JBHI.2020.3030224. Epub 2020 Dec 4. PMID: 33044938; PMCID: PMC8545170.
• Gauriau R, Bridge C, Chen L, Kitamura F, Tenenholtz NA, Kirsch JE, Andriole KP, Michalski MH, Bizzo BC. Using DICOM metadata for radiological image series categorization: a feasibility study on large clinical brain MRI datasets. J Digit Imaging. 2020 Jun;33(3):747-762. doi: 10.1007/s10278-019-00308-x. PMID: 31950302; PMCID: PMC7256138.
• Prevedello LM, Halabi SS, Shih G, Wu CC, Kohli MD, Chokshi FH, Erickson BJ, Kalpathy-Cramer J, Andriole KP, Flanders AE. Challenges related to artificial intelligence research in medical imaging and the importance of image analysis competitions. Radiol Artif Intell. 2019 Jan 30;1(1):e180031. doi: 10.1148/ryai.2019180031. PMID: 33937783; PMCID: PMC8017381.
• Lu J, Pedemonte S, Bizzo B, Doyle S, Andriole KP, Michalski MH, Gonzalez RG, Pomerantz SR. Deep Spine: Automated lumbar vertebral segmentation, disc-level designation and spinal stenosis grading using deep learning. Proceedings of the 35th International Conference on Machine Learning. 2018. Available from: http://proceedings.mlr.press/v85/lu18a.html.
• Bridge CP, Rosenthal M, Wright B, Kotecha G, Fintelmann F, Troschel F, Miskin N, Desai K, Wrobel W, Babic A, Khalaf N, Brais L, Welch M, Zellers C, Tenenholtz N, Michalski M, Wolpin B, Andriole K. Fully-automated analysis of body composition from CT in cancer patients using convolutional neural networks. Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis. 2018. doi: 10.1007/978-3-030-01201-4_22.
• Herrmann MD, Clunie DA, Fedorov A, Doyle SW, Pieper S, Klepeis V, Le LP, Mutter GL, Milstone DS, Schultz TJ, Kikinis R, Kotecha GK, Hwang DH, Andriole KP, Iafrate AJ, Brink JA, Boland GW, Dreyer KJ, Michalski M, Golden JA, Louis DN, Lennerz JK. Implementing the DICOM standard for digital pathology. J Pathol Inform. 2018 Nov 2;9:37. doi: 10.4103/jpi.jpi_42_18. PMID: 30533276; PMCID: PMC6236926.
• Lakhani P, Prater AB, Hutson RK, Andriole KP, Dreyer KJ, Morey J, Prevedello LM, Clark TJ, Geis JR, Itri JN, Hawkins CM. Machine learning in radiology: applications beyond image interpretation. J Am Coll Radiol. 2018 Feb;15(2):350-359. doi: 10.1016/j.jacr.2017.09.044. Epub 2017 Nov 17. PMID: 29158061.
• Wood MJ, Tenenholtz NA, Geis JR, Michalski MH, Andriole KP. The need for a machine learning curriculum for radiologists. J Am Coll Radiol. 2019 May;16(5):740-742. doi: 10.1016/j.jacr.2018.10.008. Epub 2018 Dec 7. PMID: 30528932.
• Alkasab TK, Bizzo BC, Berland LL, Nair S, Pandharipande PV, Harvey HB. Creation of an open framework for point-of-care computer-assisted reporting and decision support tools for radiologists. J Am Coll Radiol. 2017 Sep;14(9):1184-1189. doi: 10.1016/j.jacr.2017.04.031. Epub 2017 Jun 23. PMID: 28648871.