Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning
Temporal deep learning enables high-performing longitudinal medical imaging analysis and point-of-care decision support for pediatric brain tumors. Temporal learning may be broadly adaptable to track and predict risk in patients with other cancers and chronic diseases undergoing surveillance imaging. (Funded in part by the National Institutes of Health/National Cancer Institute (U54 CA274516 and P50 CA165962), and Botha-Chan Low Grade Glioma Consortium.).
Authors
- Hugo J.W.L. Aerts (ORCID: https://orcid.org/0000-0002-2122-2003)
- Tina Young Poussaint (ORCID: https://orcid.org/0000-0002-0814-0791)
- Ariana Familiar (ORCID: https://orcid.org/0000-0002-9315-8653)
- Kevin X. Liu (ORCID: https://orcid.org/0000-0003-2071-5137)
- Benjamin H. Kann (ORCID: https://orcid.org/0000-0002-4313-2754)
- Sridhar Vajapeyam (ORCID: https://orcid.org/0000-0002-1782-1919)
- Sanjay P. Prabhu (ORCID: https://orcid.org/0000-0003-0871-115X)
- Anna Zapaishchykova (ORCID: https://orcid.org/0000-0001-6860-9160)
- Tafadzwa L. Chaunzwa (ORCID: https://orcid.org/0000-0001-7216-159X)
- Ali Nabavizadeh (ORCID: https://orcid.org/0000-0002-0380-4552)
- Sabine Mueller (ORCID: https://orcid.org/0000-0002-3452-5150)
- Daphne Adele Haas-Kogan (ORCID: https://orcid.org/0000-0002-2378-4800)
- Pratiti Bandopadhayay (ORCID: https://orcid.org/0000-0002-4175-4760)
- Zezhong Ye (ORCID: https://orcid.org/0000-0003-0369-7432)
- Maryamalsadat Mahootiha (ORCID: https://orcid.org/0000-0003-3964-8114)
- Divyanshu Tak
- Biniam A. Garomsa (ORCID: https://orcid.org/0009-0009-8908-8769)
- Ceilidh Smith
- Juan Carlos Pardo
Institutions
- Broad Institute (US)
- Brigham and Women's Hospital (US)
- Boston Children's Hospital (US)
- Memorial Sloan Kettering Cancer Center (US)
- Children's Hospital of Philadelphia (US)
- Harvard University (US)
- University of California, San Francisco (US)
- Maastricht University (NL)
- Dana-Farber Cancer Institute (US)
- Dana-Farber Brigham Cancer Center (US)
- Artificial Intelligence in Medicine (Canada) (CA)
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center (US)
- Mass General Brigham (US)
- University of Pennsylvania (US)
- Philadelphia University (US)
Publication Details
- Journal
- NEJM AI
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1056/aioa2400703
- Citations
- 2
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.25