Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Georgia Institute of Technology · The Wallace H. Coulter Department of Biomedical Engineering · +3 more institutions
Abstract
This review delves into the most recent advancements in applying artificial intelligence (AI) within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors that represent a significant global health issue. AI has brought transformative innovations to brain tumor management, utilizing imaging, histopathological, and genomic tools for efficient detection, categorization, outcome prediction, and treatment planning. Assessing its influence across all facets of malignant brain tumor management- diagnosis, prognosis, and therapy- AI models outperform human evaluations in terms of accuracy and specificity. Their ability to discern molecular aspects from imaging may reduce reliance on…
Citation impact
- FWCI
- 92.38
- Percentile
- 100%
- References
- 134
Authors
6- SKSirvan Khalighi
Georgia Institute of Technology, The Wallace H. Coulter Department of Biomedical Engineering
- KRKartik Reddy
Emory University
- AMAbhishek Midya
Georgia Institute of Technology, The Wallace H. Coulter Department of Biomedical Engineering
- KPKrunal Pandav
Georgia Institute of Technology, The Wallace H. Coulter Department of Biomedical Engineering
- AMAnant Madabhushi
Georgia Institute of Technology, The Wallace H. Coulter Department of Biomedical Engineering, Atlanta Medical Center, Atlanta VA Medical Center
Topics & keywords
- Transformative learning
- Artificial intelligence
- Precision medicine
- Medical diagnosis
- Deep learning
- Transparency (behavior)
- Computer science
- Medicine
- Gender equality
Funding
- UDU.S. Department of DefenseAwards: W81XWH-19-1-0668, W81XWH, W81XWH-15-1, W81XWH-18-1-0440, W81XWH-18-1-0404, W81XWH-20-1-0595, W81XWH-15-1-0558, W81XWH-18
- UDU.S. Department of Veterans AffairsAward: IBX004121A
- ELEli Lilly and Company
- AAstraZeneca
- EUEmory UniversityAward: 00128909
- NINational Institutes of HealthAwards: P50 CA116201, R01CA202752, 1U01CA239055-01, R01CA216579-01A1, R01CA202752-01A1, CA116201, 1U54CA254566-01, 1U01CA248226-01, R01CA220581-01A1, C06 RR12463, R01CA208236-01A1, W81XWH, 1 C06 RR12463-01
- NCNational Cancer InstituteAwards: R01CA216579-01A1, P50 CA116201, R01CA249992, R01CA257612-01A1, R01CA220581, 1U54CA254566-01, CA116201, 1U01CA239055-01, 1U01CA248226-01, R01CA208236, R01CA216579, R01CA202752, R01CA257612, R01CA249992-01A1, R01CA220581-01A1, R01CA202752-01A1, R01CA208236-01A1, 1U01CA248226
- NCNational Center for Research ResourcesAwards: C06 RR12463-01, IBX004121A, 1 C06 RR12463-01
- DPDOD Prostate Cancer Research ProgramAwards: W81XWH-21-1-0160, W81XWH-20-1-0851, W81XWH-15-1-0558