Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation.
Saved in:
| Title: | Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation. |
|---|---|
| Authors: | Kazerooni AF; Center for Data-Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: fathikazea@chop.edu., Familiar AM; Center for Data-Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA., Aboian M; Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA., Brüningk SC; Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland., Vossough A; Center for Data-Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA., Linguraru MG; Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA; School of Medicine and Health Sciences, George Washington University, Washington, DC, USA., Huang RY; Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA., Hargrave D; Great Ormond Street Institute of Child Health, University College London, London, UK., Peet AC; Department of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK; Oncology Department, Birmingham Children's Hospital, Birmingham, UK., Resnick AC; Center for Data-Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Storm PB; Center for Data-Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Mirsky D; Department of Radiology, Children's Hospital Colorado, University of Colorado, CO, USA., Yeom KW; Division of Neuroradiology, Department of Radiology, Stanford University, Stanford, CA, USA., Weller M; Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland., Prados M; Department of Neurology and Pediatrics, University of California San Francisco, San Francisco, CA, USA., Chang SM; Division of Neuro-Oncology, Department of Neurosurgery, University of California, San Francisco, CA, USA., Mueller S; Department of Neurology and Pediatrics, University of California San Francisco, San Francisco, CA, USA., Villanueva-Meyer JE; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Bakas S; Division of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA; Department of Computer Science, Luddy School of Informatics, Computing, Engineering, Indiana University, Indianapolis, IN, USA; Medical Research Group, MLCommons, San Francisco, CA, USA., Fangusaro J; The Aflac Cancer Center, Children's Healthcare of Atlanta and the Emory University School of Medicine, Atlanta, GA, USA., Kann BH; Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, USA; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Artificial Intelligence in Medicine Program, Mass General Brigham, Boston, MA, USA; Boston Children's Hospital, Boston, MA, USA., Nabavizadeh A; Center for Data-Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. |
| Corporate Authors: | Response Assessment in Pediatric Neuro-Oncology (RAPNO) group |
| Source: | The Lancet. Oncology [Lancet Oncol] 2025 Nov; Vol. 26 (11), pp. e607-e618. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Lancet Pub. Group Country of Publication: England NLM ID: 100957246 Publication Model: Print Cited Medium: Internet ISSN: 1474-5488 (Electronic) Linking ISSN: 14702045 NLM ISO Abbreviation: Lancet Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
