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1. Three artificial intelligence data challenges based on CT and MRI

2. Artificial intelligence solution to classify pulmonary nodules on CT

3. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

7. Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI

8. 6O Subcutaneous fat mass predicts progression-free survival in patients treated with antibody drug conjugates in early phase clinical trials

9. Selection of an early biomarker for vascular normalization using dynamic contrast-enhanced ultrasonography to predict outcomes of metastatic patients treated with bevacizumab

12. Better than RECIST and faster than iRECIST: Defining the immunotherapy progression decision score to better manage progressive tumors on immunotherapy

21. Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers (Jan , 10.1007/s00330-020-07598-8, 2021)

22. Incorporating radiomics into clinical trials: expert consensus on considerations for data-driven compared to biologically driven quantitative biomarkers

23. Prolonged SARS-CoV-2 RNA virus shedding and lymphopenia are hallmarks of COVID-19 in cancer patients with poor prognosis

29. Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers

30. Incorporating radiomics into clinical trials: expert consensus on considerations for data-driven compared to biologically driven quantitative biomarkers

39. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

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