Publications by authors named "Mallorie Gayhart"
Globally, renal cancer (RC) is the 10th most common cancer among men and women. The new era of artificial intelligence (AI) and radiomics have allowed the development of AI-based computer-aided diagnostic/prediction (AI-based CAD/CAP) systems, which have shown promise for the diagnosis of RC (i.e.
View Article and Find Full Text PDFArticle Synopsis
- Wilms' tumor is the most common kidney cancer in children and has a serious risk of recurrence; its treatment often involves surgery, chemotherapy, and sometimes radiation.
- The study aimed to create a computer-aided prediction system to assess how Wilms' tumors would respond to preoperative chemotherapy, involving imaging analysis of 63 patients.
- Using advanced imaging techniques and machine learning, the system achieved high accuracy (95.24%) in predicting treatment responses, which could help tailor individualized treatment plans for patients.