Suryakala Buddha
Sourced from institutional research profiles (UAMS TRI or ARA).
Researcher
Graduate Student Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Suryakala Buddha's research focuses on medical imaging and its application in diagnosing various medical conditions. Her work includes the external validation of artificial intelligence algorithms for prostate cancer detection, comparing their performance with radiologists using PI-RADS scoring. Buddha has also investigated the spectrum of pancreatic imaging in hereditary syndromes and the radiological presentation of vaginal cuff lesions. Additionally, she has studied imaging findings of pulmonary infections encountered in emergency departments during the post-COVID-19 era, encompassing common, rare, and exotic bacterial and viral causes. Her research interests also extend to rare case reports, such as xanthogranulomatous peritonitis mimicking ovarian cancer. Buddha collaborates with researchers at the University of Arkansas for Medical Sciences, including Roopa Ram, Neriman Gökden, and Ahmet Murat Aydın.
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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