Gallifant, Jack

The TRIPOD-LLM reporting guideline for studies using large language models

Gallifant, J., Afshar, M., Ameen, S., Aphinyanaphongs, Y., Chen, S., Cacciamani, G., Demner-Fushman, D., Dligach, D., Daneshjou, R., Fernandes, C., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 615

The effect of using a large language model to respond to patient messages

Chen, S., Guevara, M., Moningi, S., Hoebers, F., Elhalawani, H., Kann, B. H., Chipidza, F. E., Leeman, J., Aerts, H. J. W. L., Miller, T., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 147

When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior

Chen, S., Gao, M., Sasse, K., Hartvigsen, T., Anthony, B., Fan, L., Aerts, H., Gallifant, J., & Bitterman, D. S. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 112

Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias

Gallifant, J., Zhang, J., del Pilar Arias Lopez, M., Zhu, T., Camporota, L., Celi, L. A., & Formenti, F. (2022) · British Journal of Anaesthesia

Respiratory Support and MechanismsArtificial Intelligence in Healthcare and Education

Cited by 72

A Closer Look at AUROC and AUPRC under Class Imbalance

McDermott, M. B. A., Zhang, H., Hansen, L. H., Angelotti, G., & Gallifant, J. (2024) · arXiv

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 65

Quantifying digital health inequality across a national healthcare system

Zhang, J., Gallifant, J., Pierce, R. L., Fordham, A., Teo, J., Celi, L., & Ashrafian, H. (2023) · BMJ Health & Care Informatics

Health disparities and outcomesTechnology Use by Older Adults

Cited by 52

Critical Bias in Critical Care Devices

Charpignon, M.-L., Byers, J., Cabral, S., Celi, L. A., Fernandes, C., Gallifant, J., Lough, M. E., Mlombwa, D., Moukheiber, L., Ong, B. A., et al. (2023) · Critical Care Clinics

Healthcare Technology and Patient MonitoringNon-Invasive Vital Sign Monitoring

Cited by 35

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

Gallifant, J., Chen, S., Moreira, P. J. F., Munch, N., Gao, M., Pond, J., Celi, L. A., Aerts, H., Hartvigsen, T., & Bitterman, D. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 19

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

Gallifant, J., Chen, S., Moreira, P., Munch, N., Gao, M., Pond, J., Celi, L. A., Aerts, H., Hartvigsen, T., & Bitterman, D. (2024) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 19

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use

Chen, S., Moreira, P., Xiao, Y., Schmidgall, S., Warner, J., Aerts, H., Hartvigsen, T., Gallifant, J., & Bitterman, D. S. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationInformation Retrieval and Search Behavior

Cited by 0