Danielle S Bitterman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Radical Prostatectomy

Artificial Intelligence

Radiation Induced

Top Venues

JCO clinical cancer informatics

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Nature medicine

Nature reviews. Clinical oncology

This page only lists publications with an associated author ORCID identifier.

Publications

Danielle S Bitterman, Andrea Downing, Julia Maués, Maryam Lustberg
Promise and Perils of Large Language Models for Cancer Survivorship and Supportive Care. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 42 (14) (2024)
Danielle S Bitterman, Andrea Downing, Julia Maués, Maryam Lustberg
Promise and Perils of Large Language Models for Cancer Survivorship and Supportive Care. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 42 (14) (2024)
Jack Gallifant, Leo Anthony Celi, Elad Sharon, Danielle S Bitterman
Navigating the Complexities of Artificial Intelligence-Enabled Real-World Data Collection for Oncology Pharmacovigilance. JCO clinical cancer informatics 8 (2024)
Danielle S Bitterman, Andrea Downing, Julia Maués, Maryam Lustberg
Promise and Perils of Large Language Models for Cancer Survivorship and Supportive Care. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 42 (14) (2024)
Danielle S Bitterman, Andrea Downing, Julia Maués, Maryam Lustberg
Promise and Perils of Large Language Models for Cancer Survivorship and Supportive Care. Journal of clinical oncology : official journal of the American Society of Clinical Oncology (2024)
Shan Chen, Marco Guevara, Nicolas Ramirez, Arpi Murray, Jeremy L Warner, Hugo J W L Aerts, Timothy A Miller, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy. JCO clinical cancer informatics 7 (2023)
Danielle S Bitterman, Michael F Gensheimer, David A Jaffray, Daniel A Pryma, Steve B Jiang, Olivier Morin, Jorge Barrios Ginart, Taman Upadhaya, Katherine A Vallis, John M Buatti, Joseph Deasy, H Timothy Hsiao, Caroline Chung, Clifton David Fuller, Emily Greenspan, Kristy Cloyd-Warwick, Samir Courdy, Allen Mao, Jill S Barnholtz-Sloan, Umit Topaloglu, Isaac Hands, Ian Maurer, May Terry, Walter J Curran, Quynh-Thu Le, Sorena Nadaf, Warren A Kibbe
Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence-Ready Informatics Ecosystem for Radiation Oncology. JCO clinical cancer informatics 7 (2023)
Subha Perni, Lisa Soleymani Lehmann, Danielle S Bitterman
Patients should be informed when AI systems are used in clinical trials. Nature medicine (2023)
Abigail Derton, Marco Guevara, Shan Chen, Shalini Moningi, David E Kozono, Dianbo Liu, Timothy A Miller, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes. JCO clinical cancer informatics 7 (2023)
Katelyn M Atkins, Jakob Weiss, Roman Zeleznik, Danielle S Bitterman, Tafadzwa L Chaunzwa, Elizabeth Huynh, Christian Guthier, David E Kozono, John H Lewis, Balaji K Tamarappoo, Anju Nohria, Udo Hoffmann, Hugo J W L Aerts, Raymond H Mak
Elevated Coronary Artery Calcium Quantified by a Validated Deep Learning Model From Lung Cancer Radiotherapy Planning Scans Predicts Mortality. JCO clinical cancer informatics 6 (2022)
Danielle S Bitterman, Ming-Hui Chen, Jing Wu, Andrew A Renshaw, Marian Loffredo, Philip W Kantoff, Eric J Small, Anthony V D'Amico
Prostate-specific antigen nadir and testosterone level at prostate-specific antigen failure following radiation and androgen suppression therapy for unfavorable-risk prostate cancer and the risk of all-cause and prostate cancer-specific mortality. Cancer 127 (15) (2021)
Elizabeth Huynh, Ahmed Hosny, Christian Guthier, Danielle S Bitterman, Steven F Petit, Daphne A Haas-Kogan, Benjamin Kann, Hugo J W L Aerts, Raymond H Mak
Artificial intelligence in radiation oncology. Nature reviews. Clinical oncology 17 (12) (2020)