In Reply We thank Xiao and Kong for their interest in our cohort study on the ancestry-associated performance variability of open-source AI models for EGFR prediction in lung cancer.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Generalizability and Fairness in Deploying AI for Lung Cancer Biomarker Prediction | 0 | 11.2 | 01-07-2026 |
| 2 | Caution in Interpreting Survival After for Salvage Focal Therapy vs Salvage Radical Prostatectomy—Reply | 0 | 7.28 | 01-07-2026 |
| 3 | Physician and AI Responses to Cancer Questions | 0 | 7.26 | 01-07-2024 |
| 4 | Towards a code of ethics in AI | 0 | 10 | 01-08-2017 |
| 5 | Temporal Trends in Lung Cancer Cases Diagnosed at Early Stage | 0 | 5.63 | 01-07-2026 |
| 6 | Transfer Conformal Predictive Inference for Regression | 0 | 5.02 | 17-08-2026 |
| 7 | Public Acceptance of Artificial Intelligence in Health Care | 0 | 10 | 04-08-2026 |
| 8 | Bridging the Heart Failure Postdischarge Gap With Artificial Intelligence—Reply | 0 | 7.19 | 19-08-2026 |
| 9 | Reassessing Treatment Outcomes Following Immune-Related Adverse Events—Reply | 0 | 10.34 | 01-07-2026 |
| 10 | AI pipelines correctly identify genetic basis for disease even without medical training | 0 | 6.77 | 18-05-2026 |