Radiomics pode revolucionar a radiologia. Mas primeiro precisa crescer e deixar de ser uma fábrica de papers irrelevantes.
1. Zwanenburg A, et al. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics. Radiology. 2020;295(2):328-338. DOI: 10.1148/radiol.2020191145
2. van Timmeren JE, et al. Radiomics in medical imaging — how-to guide and critical reflection. Insights Imaging. 2020;11:91. DOI: 10.1186/s13244-020-00887-2
3. Park JE, et al. Reproducibility and Generalizability in Radiomics Modeling. Korean J Radiol. 2019;20(7):1124. DOI: 10.3348/kjr.2018.0070
4. Koçak B, et al. Bias in artificial intelligence for medical imaging. Diagn Interv Radiol. 2025;31(2):75-88. DOI: 10.4274/dir.2024.242854
Current workflow
Natural voice
Radiologists speak findings naturally while the platform handles structure, punctuation, and review.
Structured reports
Templates and fields preserve modality standards without blocking physician edits before signature.
Governance
Real adoption depends on access control, auditability, privacy, integrations, and operational traceability.