S
Suryakala Buddha Institution-verified
Sourced from institutional research profiles (UAMS TRI or ARA).
Researcher
unknown
3 h-index
5 pubs
87 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Suryakala Buddha is a graduate student at the University of Arkansas for Medical Sciences. Her research has focused on medical imaging and the application of artificial intelligence in diagnosing diseases. Buddha has co-authored publications on the external validation of AI algorithms for prostate cancer detection, utilizing biparametric MRI and comparing AI performance with conventional PI-RADS scoring and radiologist assessments.
Her work also includes investigations into the cross-sectional imaging spectrum of the pancreas in hereditary syndromes, as well as radiological case series on vaginal cuff lesions. Additionally, Buddha has contributed to research on imaging patterns of pulmonary infections encountered in emergency departments in the post-COVID-19 era, covering bacterial and viral etiologies. She has collaborated with researchers including Roopa Ram, Neriman Gökden, and Ahmet Murat Aydın.
Metrics
- h-index: 3
- Publications: 5
- Citations: 87
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
Shruti Kumar
University of Arkansas for Medical Sciences
2 shared publications
In database
- 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
Joe Jose
University of Arkansas for Medical Sciences (US)
2 shared publications
- 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
Mason J. Belue
University of Arkansas for Medical Sciences (US)
2 shared publications
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Emily Biben
University of Arkansas for Medical Sciences (US)
2 shared publications
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Jackson W. Massey
University of Arkansas for Medical Sciences (US)
2 shared publications
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Vaneeza Mukhtar
University of Arkansas for Medical Sciences (US)
2 shared publications
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Roopa Ram
University of Arkansas for Medical Sciences
2 shared publications
In database
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Neriman Gökden
University of Arkansas for Medical Sciences
2 shared publications
In database
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Timothy Langford
University of Arkansas for Medical Sciences (US)
2 shared publications
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Sumit Shah
University of Arkansas for Medical Sciences (US)
2 shared publications
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Barış Türkbey
National Institutes of Health (US)
2 shared publications
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Ahmet Murat Aydın
University of Arkansas for Medical Sciences
2 shared publications
In database
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
Venkata S. Katabathina
The University of Texas at San Antonio (US)
1 shared publication
- Pancreas in Hereditary Syndromes: Cross-sectional Imaging Spectrum
Hamid Rajebi
The University of Texas Health Science Center at San Antonio (US)
1 shared publication
- Pancreas in Hereditary Syndromes: Cross-sectional Imaging Spectrum
Jignesh Shah
Le Bonheur Children's Hospital (US)
1 shared publication
- Pancreas in Hereditary Syndromes: Cross-sectional Imaging Spectrum
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