Suryakala Buddha
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Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Suryakala Buddha's research focuses on medical imaging techniques and their application in disease diagnosis. Her work includes investigating the diagnostic accuracy of contrast-enhanced digital mammography for breast cancer detection, comparing it with other imaging modalities like tomosynthesis and ultrasound, particularly in women with dense breasts. She has also explored the imaging spectrum of pancreatic conditions in hereditary syndromes and the radiological features of urachal anomalies. More recently, her research has extended to the external validation of artificial intelligence algorithms for prostate cancer detection using biparametric MRI, and the simulation of their integration with conventional PI-RADS scoring. Her publications cover a range of medical case reports, including diverse vaginal cuff lesions and xanthogranulomatous peritonitis, as well as imaging of pulmonary infections in the post-COVID-19 era.
Metrics
- h-index: 1
- Publications: 2
- Citations: 2
Selected Publications
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A rare case report of Xanthogranulomatous peritonitis mimicking ovarian cancer (2026)
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A radiological case series of diverse vaginal cuff lesions (2025)
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External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection (2025)
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Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral (2024)
Collaboration Network
Top Collaborators
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- A radiological case series of diverse vaginal cuff lesions
- A rare case report of Xanthogranulomatous peritonitis mimicking ovarian cancer
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- Imaging of pulmonary infections encountered in the emergency department in post-COVID 19 era– common, rare and exotic. Bacterial and viral
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
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