CK
Christopher Kelly
Artificial IntelligenceHeart Defects, Congenitalcongenital heart diseaseBraincs.CVcs.LGMRIartificial intelligencebraincs.AI
On Valency
published · living versionsW_fdd84fab·v1 · currentpublished
Path-dependent triage: Early judgments lead conversational AI chatbots to miss mental-health emergencies
with Veith Weilnhammer, Raymond Dolan, Lennart Luettgau, Virginia Corno +4
1 version
Preprints & journals
78 papers in the corpus · 1992–2026Principles and Guidelines for Randomized Controlled Trials in AI Evaluation2605.02050v2 · Christopher Kelly, Angelica Chowdhury, Alexandra Campili et al.2026 · 0 citationsarXiv
Intrathalamic morphometry in infants with congenital heart disease and infants born preterm10.64898/2026.03.16.26348485v2 · Clayden, B., Gal-Er, B., van der Meijden, M. E. M. et al.2026 · 0 citationsmedRxiv
Impact of using artificial intelligence as a second reader in breast screening including arbitration.41807816 · Warren, Lucy M, Venton, Jenny, Young, Kenneth C et al.2026 · 5 citationsNature cancer. 2026;7(3):507-521
Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studies.41807818 · Kelly, Christopher J, Wilson, Marc, Warren, Lucy M et al.2026 · 16 citationsNature cancer. 2026;7(3):494-506
Cortical scaling of the neonatal brain in typical and altered development.40198710 · Bonthrone, Alexandra F, Cromb, Daniel, Chew, Andrew et al.2025 · 11 citationsProceedings of the National Academy of Sciences of the United States of America. 2025;122(15):e2416423122
Can a Simple Model Have Value Without Validation? A Study to Develop and (Attempt to) Validate a Bovine Caudal Epidural Model and Rubric.39928449 · Bonnema, Hannah, Kelly, Christopher, Hunt, Julie A et al.2026 · 0 citationsJournal of veterinary medical education. 2026;53(1):115-122
Development and Validation of a Bovine Coccygeal Venipuncture Model and Rubric.39945740 · Trantham, Natalie, Kelly, Christopher, Hunt, Julie A et al.2026 · 0 citationsJournal of veterinary medical education. 2026;53(3):311-317
Safety principles for medical summarization using generative AI.39438665 · Obika, Dillon, Kelly, Christopher, Ding, Nicola et al.2026 · 9 citationsNature medicine. 2024;30(12):3417-3419
Rare Incidental Finding of Multiple Pseudoaneurysms After Imaging-Guided Kidney Biopsy in a Patient With Lupus Nephritis: A Case Report and Literature Review.39610601 · Guardado, Katherine E, Harvill, Monte, Mannari, Aniruddh et al.2024 · 0 citationsCureus. 2024;16(10):e72659
Individualized cortical gyrification in neonates with congenital heart disease.39429246 · Cromb, Daniel, Wilson, Siân, Bonthrone, Alexandra F et al.2025 · 10 citationsBrain communications. 2024;6(5):fcae356
Author Correction: Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.39075055 · Martindale, Alexander P L, Llewellyn, Carrie D, de Visser, Richard O et al.2026 · 1 citationNature communications. 2024;15(1):6376
Advancing Multimodal Medical Capabilities of Gemini2405.03162v1 · Lin Yang, Shawn Xu, Andrew Sellergren et al.2024 · 34 citationsarXiv
Attentional development is altered in toddlers with congenital heart disease.39411470 · Bonthrone, Alexandra F, Kyriakopoulou, Vanessa, Mason, Luke et al.2026 · 4 citationsJCPP advances. 2024;4(3):e12232
WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs2403.07944v1 · Deshun Yang, Luhui Hu, Yu Tian et al.2024 · 5 citationsarXiv
Development and Evaluation of Deep Learning Models for Cardiotocography Interpretation10.1101/2024.03.05.24303805v1 · Chiou, N., Young-Lin, N., Kelly, C. et al.2024 · 10 citationsmedRxiv
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.38388497 · Martindale, Alexander P L, Llewellyn, Carrie D, de Visser, Richard O et al.2024 · 53 citationsNature communications. 2024;15(1):1619
An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM2402.10291v2 · Vijayalakshmi Saravanan, Perry Siehien, Shinjae Yoo et al.2024 · 1 citationarXiv
Executive Function in Preschool Children with Congenital Heart Disease and Controls: The Role of a Cognitively Stimulating Home Environment.38171471 · Chew, Andrew T M, Bonthrone, Alexandra F, Alford, Arezoo et al.2024 · 15 citationsThe Journal of pediatrics. 2024;267:113897
Perioperative Brain Injury in Relation to Early Neurodevelopment Among Children with Severe Congenital Heart Disease: Results from a European Collaboration.37995930 · Neukomm, Astrid, Claessens, Nathalie H P, Bonthrone, Alexandra F et al.2024 · 18 citationsThe Journal of pediatrics. 2024;266:113838
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders2308.01317v2 · Shawn Xu, Lin Yang, Christopher Kelly et al.2023 · 19 citationsarXiv
Publisher Correction: Large language models encode clinical knowledge.37500979 · Singhal, Karan, Azizi, Shekoofeh, Tu, Tao et al.2025 · 99 citationsNature. 2023;620(7973):E19
Large language models encode clinical knowledge.37438534 · Singhal, Karan, Azizi, Shekoofeh, Tu, Tao et al.2023 · 4,002 citationsNature. 2023;620(7972):172-180
Individual Assessment of Perioperative Brain Growth Trajectories in Infants With Congenital Heart Disease: Correlation With Clinical and Surgical Risk Factors.37421268 · Cromb, Daniel, Bonthrone, Alexandra F, Maggioni, Alessandra et al.2023 · 19 citationsJournal of the American Heart Association. 2023;12(14):e028565
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians.37460754 · Dvijotham, Krishnamurthy Dj, Winkens, Jim, Barsbey, Melih et al.2023 · 124 citationsNature medicine. 2023;29(7):1814-1820
Comparing predictive performance of pulmonary embolism risk stratification tools for acute clinical deterioration.37251351 · Weekes, Anthony J, Raper, Jaron D, Esener, Dasia et al.2024 · 9 citationsJournal of the American College of Emergency Physicians open. 2023;4(3):e12983
Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence.36626192 · Hogg, Henry David Jeffry, Al-Zubaidy, Mohaimen, Technology Enhanced Macular Services Study Reference Group et al.2023 · 162 citationsJournal of medical Internet research. 2023;25:e39742
The effects of exercise interventions on sleep disturbances and cancer related fatigue for female breast cancer survivors- A quantitative systematic review (Protocol)q7tm3_v1 · Anna Rose McGrorry, Amy Paterson, Andrew Canning et al.2022 · 0 citationsPsyArXiv
Risk Factors for Perioperative Brain Lesions in Infants With Congenital Heart Disease: A European Collaboration.36300371 · Bonthrone, Alexandra F, Stegeman, Raymond, Feldmann, Maria et al.2022 · 41 citationsStroke. 2022;53(12):3652-3661
Neonatal frontal-limbic connectivity is associated with externalizing behaviours in toddlers with Congenital Heart Disease.35987179 · Bonthrone, Alexandra F, Chew, Andrew, Bhroin, Megan Ní et al.2022 · 6 citationsNeuroImage. Clinical. 2022;36:103153
A Uniform Description of Perioperative Brain MRI Findings in Infants with Severe Congenital Heart Disease: Results of a European Collaboration.34674999 · Stegeman, R, Feldmann, M, Claessens, N H P et al.2021 · 48 citationsAJNR. American journal of neuroradiology. 2021;42(11):2034-2039
Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning.34236406 · Wilson, Marc, Chopra, Reena, Wilson, Megan Z et al.2022 · 42 citationsJAMA ophthalmology. 2021;139(9):964-973
MRI studies of brain size and growth in individuals with congenital heart disease.34584889 · Bonthrone, Alexandra F, Kelly, Christopher J, Ng, Isabel H X et al.2025 · 27 citationsTranslational pediatrics. 2021;10(8):2171-2181
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study.34255661 · Nikolov, Stanislav, Blackwell, Sam, Zverovitch, Alexei et al.2021 · 367 citationsJournal of medical Internet research. 2021;23(7):e26151
Individualized brain development and cognitive outcome in infants with congenital heart disease.33860226 · Bonthrone, Alexandra F, Dimitrova, Ralica, Chew, Andrew et al.2025 · 41 citationsBrain communications. 2021;3(2):fcab046
Cognitive function in toddlers with congenital heart disease: The impact of a stimulating home environment.33210418 · Bonthrone, Alexandra F, Chew, Andrew, Kelly, Christopher J et al.2021 · 44 citationsInfancy : the official journal of the International Society on Infant Studies. 2021;26(1):184-199
Addendum: International evaluation of an AI system for breast cancer screening.33057216 · McKinney, Scott Mayer, Sieniek, Marcin, Godbole, Varun et al.2026 · 42 citationsNature. 2020;586(7829):E19
Reply to: Transparency and reproducibility in artificial intelligence.33057218 · McKinney, Scott Mayer, Karthikesalingam, Alan, Tse, Daniel et al.2021 · 30 citationsNature. 2020;586(7829):E17-E18
Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning.32980396 · Moraes, Gabriella, Fu, Dun Jack, Wilson, Marc et al.2021 · 129 citationsOphthalmology. 2021;128(5):693-705
Investigating altered brain development in infants with congenital heart disease using tensor-based morphometry.32913193 · Ng, Isabel H X, Bonthrone, Alexandra F, Kelly, Christopher J et al.2020 · 33 citationsScientific reports. 2020;10(1):14909
Predicting conversion to wet age-related macular degeneration using deep learning.32424211 · Yim, Jason, Chopra, Reena, Spitz, Terry et al.2020 · 297 citationsNature medicine. 2020;26(6):892-899
Insights into Systemic Disease through Retinal Imaging-Based Oculomics.32704412 · Wagner, Siegfried K, Fu, Dun Jack, Faes, Livia et al.2021 · 308 citationsTranslational vision science & technology. 2020;9(2):6
International evaluation of an AI system for breast cancer screening.31894144 · McKinney, Scott Mayer, Sieniek, Marcin, Godbole, Varun et al.2020 · 3,256 citationsNature. 2020;577(7788):89-94
Reduced structural connectivity in cortico-striatal-thalamic network in neonates with congenital heart disease.32987301 · Ní Bhroin, Megan, Abo Seada, Samy, Bonthrone, Alexandra F et al.2021 · 22 citationsNeuroImage. Clinical. 2020;28:102423
Key challenges for delivering clinical impact with artificial intelligence.31665002 · Kelly, Christopher J, Karthikesalingam, Alan, Suleyman, Mustafa et al.2020 · 3,079 citationsBMC medicine. 2019;17(1):195
Neuroimaging findings in newborns with congenital heart disease prior to surgery: an observational study.31243012 · Kelly, Christopher J, Arulkumaran, Sophie, Tristão Pereira, Catarina et al.2020 · 67 citationsArchives of disease in childhood. 2019;104(11):1042-1048
Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer.31015159 · Kosmin, M, Ledsam, J, Romera-Paredes, B et al.2020 · 137 citationsRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 2019;135:130-140
Abnormal Microstructural Development of the Cerebral Cortex in Neonates With Congenital Heart Disease Is Associated With Impaired Cerebral Oxygen Delivery.30821171 · Kelly, Christopher J, Christiaens, Daan, Batalle, Dafnis et al.2020 · 72 citationsJournal of the American Heart Association. 2019;8(5):e009893
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy1809.04430v3 · Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch et al.2018 · 239 citationsarXiv
Systematic Review of Mobile Health Applications in Rehabilitation.30171827 · Nussbaum, Ryan, Kelly, Christopher, Quinby, Eleanor et al.2019 · 157 citationsArchives of physical medicine and rehabilitation. 2019;100(1):115-127
Recent advances in diffusion neuroimaging: applications in the developing preterm brain.30210783 · Pecheva, Diliana, Kelly, Christopher, Kimpton, Jessica et al.2019 · 63 citationsF1000Research. 2018;7
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