Banerjee, Imon

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

Huang, S.-C., Pareek, A., Seyyedi, S., Banerjee, I., & Lungren, M. P. (2020) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 934

AI recognition of patient race in medical imaging: a modelling study

Gichoya, J. W., Banerjee, I., Bhimireddy, A. R., Burns, J. L., Celi, L. A., Chen, L.-C., Correa, R., Dullerud, N., Ghassemi, M., Huang, S.-C., et al. (2022) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 611

AI pitfalls and what not to do: mitigating bias in AI

Gichoya, J. W., Thomas, K., Celi, L. A., Safdar, N., Banerjee, I., Banja, J. D., Seyyed-Kalantari, L., Trivedi, H., & Purkayastha, S. (2023) · The British Journal of Radiology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 277

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Huang, S.-C., Pareek, A., Zamanian, R., Banerjee, I., & Lungren, M. P. (2020) · Scientific Reports

Machine Learning in HealthcareRadiomics and Machine Learning in Medical Imaging

Cited by 246

Multi-institutional validation of a mammography-based breast cancer risk model

Yala, A., Mikhael, P. G., Strand, F., Lin, G., Satuluru, S., Kim, T., Banerjee, I., Gichoya, J., Trivedi, H., Lehman, C. D., et al. (2022) · Journal of Clinical Oncology

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 204

Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports

Li, H., Moon, J. T., Iyer, D., Balthazar, P., Krupinski, E. A., Bercu, Z. L., Newsome, J. M., Banerjee, I., Gichoya, J. W., & Trivedi, H. M. (2023) · Clinical Imaging

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 118

Optimizing risk-based breast cancer screening policies with reinforcement learning

Yala, A., Mikhael, P. G., Lehman, C., Lin, G., Strand, F., Wan, Y.-L., Hughes, K., Satuluru, S., Kim, T., Banerjee, I., et al. (2022) · Nature Medicine

AI in cancer detectionGlobal Cancer Incidence and Screening

Cited by 103

The EMory BrEast imaging Dataset (EMBED): a racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images

Jeong, J. J., Vey, B. L., Bhimireddy, A., Kim, T., Santos, T., Correa, R., Dutt, R., Mosunjac, M., Oprea-Ilies, G., Smith, G., et al. (2023) · Radiology Artificial Intelligence

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 92

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence

Tariq, A., Purkayastha, S., Padmanaban, G. P., Krupinski, E., Trivedi, H., Banerjee, I., & Gichoya, J. W. (2020) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 63

A large language model–based generative natural language processing framework fine‐tuned on clinical notes accurately extracts headache frequency from electronic health records

Chiang, C., Luo, M., Dumkrieger, G., Trivedi, S., Chen, Y., Chao, C., Schwedt, T. J., Sarker, A., & Banerjee, I. (2024) · Headache: The Journal of Head and Face Pain

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 53

Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions

Luo, M., Warren, C. J., Cheng, L., Abdul-Muhsin, H. M., & Banerjee, I. (2024) · 2024 IEEE International Conference on Big Data (BigData)

Artificial Intelligence in Healthcare and EducationEmpathy and Medical Education

Cited by 36

MedShift: identifying shift data for medical dataset curation

Guo, X., Gichoya, J. W., Trivedi, H., Purkayastha, S., & Banerjee, I. (2021) · arXiv

Anomaly Detection Techniques and ApplicationsMachine Learning and Data Classification

Cited by 2

Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset

Luo, M., Peterson, B., Gan, R., Ramalingame, H., Gangrade, N., Dimarogona, A., Banerjee, I., & Howard, P. (2025) · arXiv

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 1