Photo of Danielle Bitterman,  MD

Danielle Bitterman, MD

Brigham And Women's Hospital

Brigham And Women's Hospital


danielle_bitterman@dfci.harvard.edu

Danielle Bitterman, MD

Brigham And Women's Hospital

EDUCATIONAL TITLES

  • Assistant Professor, Radiation Oncology, Harvard Medical School
  • Physician, Radiation Oncology, Brigham And Women's Hospital
  • Physician, Radiation Oncology, Dana-Farber Cancer Institute
  • Affiliate Faculty, Computational Health Informatics Program, Boston Children's Hospital

HCC PROGRAM AFFILIATION

Research Abstract

Dr. Bitterman is a physician-scientist with expertise in artificial intelligence and natural language processing. Her research is dedicated to incorporating technological advances in artificial intelligence into intelligent electronic health systems to improve data-driven cancer care. Dr. Bitterman’s laboratory develops natural language processing methods that process vast amounts of data contained within electronic health records that can provide insights individualized to each patient and facilitate more effective communication between patients, caregivers, and clinicians. This work includes automating information extraction from text across multiple clinical and biomedical domains and applying deep learning-based language models to support clinical decision-making and patient education. Dr. Bitterman’s clinical-translational efforts also include prospective clinical trials regarding the use of artificial intelligence technologies in cancer care.

Dr. Bitterman’s team has published multiple high impact articles on these topics in journals such as Nature Medicine, JAMA Oncology, and Lancet Digital Health, and Nature Reviews Clinical Oncology. She served as an expert external reviewer for the World Health Organizations’ framework on generating evidence for artificial intelligence-based medical devices.

Dr. Bitterman received her undergraduate degree at Columbia University, and attended medical school at New York University School of Medicine. She completed an internship in internal medicine at the Brigham and Women's Hospital, and her residency at the Harvard Radiation Oncology Program. She completed her post-doctoral fellowship in natural language processing at the Computational Health Informatics Program at Boston Children’s Hospital.

Publications from Harvard Catalyst Profiles

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  • Lee G, Haugg F, Bontempi D, He J, Zalay O, Bitterman DS, Catalano P, Prudente V, Pai S, Guthier C, Kann BH, De Ruysscher D, Aerts HJWL, Mak RH. FaceAge as a biomarker for prognosis and treatment stratification in large-scale oncology cohort. Journal of the National Cancer Institute 2025. PubMed
  • Kouzy R, Cha EE, Rosen A, Bitterman DS. Review of Large Language Models for Patient and Caregiver Support in Cancer Care Delivery. JCO Clin Cancer Inform 2025; 9:e2500044. PubMed
  • Chen S, Gao M, Sasse K, Hartvigsen T, Anthony B, Fan L, Aerts H, Gallifant J, Bitterman DS. When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior. NPJ Digit Med 2025; 8:605. PubMed
  • Leeman JE, Shin KY, Droznin A, Catalano P, Cagney DN, Singer L, Oniyangi RD, Zhai K, Benham G, Chirmade S, Campbell J, Boyle S, Saranteas A, Williams CL, Huynh E, Han Z, Sudhyadhom A, Hu YH, Ferguson D, Singhrao K, Hsu SH, Bredfeldt J, Martin NE, Mancias JD, Mamon HJ, Van Dams R, Venkatachalam V, Tanguturi SK, Huynh MA, Fitzgerald KJ, Elhalawani H, Bitterman DS, Schoenfeld JD, Nguyen P, Haas-Kogan DA, Mak R. Stereotactic MRI Guided Adaptive Radiotherapy: a pooled analysis of a master prospective trial. Journal of the National Cancer Institute 2025. PubMed
  • Ong JCL, Ning Y, Collins GS, Bitterman DS, Beecy AN, Chang RT, Denniston AK, Freyer O, Gilbert S, de Hond A, Leeuwenberg AM, Zhao L, Lim JCW, Liu M, Liu X, Longhurst CA, Ma Y, Qiu Y, Sarkar R, Sheng B, Singh K, Tan ISK, Tham YC, Thirunavukarasu AJ, Ting DSW, Vogel S, Zhang R, Zhao J, Chapman WW, Shah NH, Moons KGM, Wong TY, Liu N. International partnership for governing generative artificial intelligence models in medicine. Nat Med 2025. PubMed
  • Gallifant J, Chen S, Jain SK, Moreira P, Topaloglu U, Aerts HJWL, Warner JL, La Cava WG, Bitterman DS. Reliability of Large Language Model Knowledge Across Brand and Generic Cancer Drug Names. JCO Clin Cancer Inform 2025; 9:e2400257. PubMed
  • Bontempi D, Zalay O, Bitterman DS, Birkbak N, Shyr D, Haugg F, Qian JM, Roberts H, Perni S, Prudente V, Pai S, Dekker A, Haibe-Kains B, Guthier C, Balboni T, Warren L, Krishan M, Kann BH, Swanton C, De Ruysscher D, Mak RH, Aerts HJWL. FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study. Lancet Digit Health 2025. PubMed
  • Gao M, Varshney A, Chen S, Goddla V, Gallifant J, Doyle P, Novack C, Dillon-Martin M, Perkins T, Correia X, Duhaime E, Isenstein H, Sharon E, Lehmann LS, Kozono D, Anthony B, Dligach D, Bitterman DS. The use of large language models to enhance cancer clinical trial educational materials. JNCI Cancer Spectr 2025. PubMed
  • Khan MA, Ayub U, Naqvi SAA, Khakwani KZR, Sipra ZBR, Raina A, Zhou S, He H, Saeidi A, Hasan B, Rumble RB, Bitterman DS, Warner JL, Zou J, Tevaarwerk AJ, Leventakos K, Kehl KL, Palmer JM, Murad MH, Baral C, Riaz IB. Collaborative large language models for automated data extraction in living systematic reviews. J Am Med Inform Assoc 2025. PubMed
  • Chen D, Parsa R, Swanson K, Nunez JJ, Critch A, Bitterman DS, Liu FF, Raman S. Large language models in oncology: a review. BMJ Oncol 2025; 4:e000759. PubMed
  • Qiao EM, He J, Silos KD, Gasho JO, Belen P, Bitterman DS, McKenzie E, Steers J, Guthier C, Nohria A, Lu MT, Aerts HJWL, Nikolova AP, Mak RH, Atkins KM. Baseline atrial volume indices and major adverse cardiac events following thoracic radiotherapy. Front Cardiovasc Med 2025; 12:1560922. PubMed
  • Chen S, Guevara M, Moningi S, Hoebers F, Elhalawani H, Kann BH, Chipidza FE, Leeman J, Aerts HJWL, Miller T, Savova GK, Gallifant J, Celi LA, Mak RH, Lustberg M, Afshar M, Bitterman DS. The effect of using a large language model to respond to patient messages. Lancet Digit Health 2024; 6:e379-e381. PubMed
  • Guevara M, Chen S, Thomas S, Chaunzwa TL, Franco I, Kann BH, Moningi S, Qian JM, Goldstein M, Harper S, Aerts HJWL, Catalano PJ, Savova GK, Mak RH, Bitterman DS. Large language models to identify social determinants of health in electronic health records. NPJ Digit Med 2024; 7:6. PubMed
  • Hoebers FJP, Wee L, Likitlersuang J, Mak RH, Bitterman DS, Huang Y, Dekker A, Aerts HJWL, Kann BH. Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods. BJR Open 2024; 6:tzae039. PubMed
  • Bitterman DS, Gensheimer MF, Jaffray D, Pryma DA, Jiang SB, Morin O, Ginart JB, Upadhaya T, Vallis KA, Buatti JM, Deasy J, Hsiao HT, Chung C, Fuller CD, Greenspan E, Cloyd-Warwick K, Courdy S, Mao A, Barnholtz-Sloan J, Topaloglu U, Hands I, Maurer I, Terry M, Curran WJ, Le QT, Nadaf S, Kibbe W. Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence-Ready Informatics Ecosystem for Radiation Oncology. JCO Clin Cancer Inform 2023; 7:e2300136. PubMed
  • Chen S, Kann BH, Foote MB, Aerts HJWL, Savova GK, Mak RH, Bitterman DS. Use of Artificial Intelligence Chatbots for Cancer Treatment Information. JAMA Oncol 2023. PubMed
  • Chen S, Guevara M, Ramirez N, Murray A, Warner JL, Aerts HJWL, Miller TA, Savova GK, Mak RH, Bitterman DS. Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy. JCO Clin Cancer Inform 2023; 7:e2300048. PubMed
  • Perni S, Lehmann LS, Bitterman DS. Patients should be informed when AI systems are used in clinical trials. Nat Med 2023. PubMed
  • Derton A, Guevara M, Chen S, Moningi S, Kozono DE, Liu D, Miller TA, Savova GK, Mak RH, Bitterman DS. Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes. JCO Clin Cancer Inform 2023; 7:e2200196. PubMed
  • Bitterman DS, Kamal A, Mak RH. An Oncology Artificial Intelligence Fact Sheet for Cancer Clinicians. JAMA Oncol 2023; 9:612-614. PubMed
  • Bitterman DS, Goldner E, Finan S, Harris D, Durbin EB, Hochheiser H, Warner JL, Mak RH, Miller T, Savova GK. An End-to-End Natural Language Processing System for Automatically Extracting Radiation Therapy Events From Clinical Texts. Int J Radiat Oncol Biol Phys 2023. PubMed
  • Kehayias CE, Yan Y, Bontempi D, Quirk S, Bitterman DS, Bredfeldt JS, Aerts HJWL, Mak RH, Guthier CV. Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology. 2023; 13:1305511. PubMed
  • Chaunzwa TL, Del Rey MQ, Bitterman DS. Clinical Informatics Approaches to Understand and Address Cancer Disparities. Yearb Med Inform 2022; 31:121-130. PubMed
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