Massachusetts General Hospital - United States
AUTHOR PROFILE
SCOPUS
ORCID
GOOGLE SCHOLAR
🎓 EARLY ACADEMIC PURSUITS
Parisa Kaviani’s journey into the medical field began with her exceptional academic performance at the National Organization for Development of the Exceptionally Talented (NODET) in Neyshabour, Iran, where she completed her high school education from 2002 to 2006. This strong foundation in a highly competitive environment set the stage for her further academic success. Following her passion for medicine, she pursued her Doctor of Medicine (MD) degree at Arak University of Medical Sciences, Iran, from January 2007 to September 2014. Her dedication and academic excellence were evident throughout her medical education, culminating in her graduation with commendable results.
📚 PROFESSIONAL ENDEAVORS
After earning her MD, Parisa Kaviani embarked on a career in clinical practice. She served as a general physician in various emergency departments across Iran from 2014 to 2019, including Fadisheh and Barzanon Health and Treatment Center in Neyshabour, Salmaniyeh Health and Treatment Center in Jiroft, Soltan Abad Hospital, and Davarzan Hospital in Sabzevar. Her roles involved diagnosing and treating patients, managing emergency cases, and providing critical care.
🧠️ CONTRIBUTIONS AND RESEARCH FOCUS
Parisa Kaviani's research career took a significant leap in January 2020 when she joined the Department of Radiology at the University of Southern California Keck School of Medicine as a postdoctoral research fellow. Here, she focused on cancer screening projects aimed at early detection of lung cancer. Continuing her research trajectory, she became a postdoctoral research Radiology fellow at the Department of Radiology, Massachusetts General Hospital, in February 2021. Her research interests pivoted towards the integration of Artificial Intelligence (AI) in radiology, with a particular focus on radiomics and improving radiology quality through deep learning algorithms. Her work in this area contributes to the advancement of AI applications in medical imaging and diagnostics.
🏆 ACCOLADES AND RECOGNITION
Parisa Kaviani’s dedication to the medical field has been acknowledged through various platforms. While specific awards and recognitions are not listed, her progression to prestigious Radiology institutions like Massachusetts General Hospital and Harvard Medical School underscores her expertise and the respect she commands in her field.
🔄 IMPACT AND INFLUENCE
Dr. Kaviani’s work, particularly in AI-driven radiology, has the potential to significantly impact the medical community. By enhancing the accuracy and efficiency of diagnostic imaging, her Radiology contributions aid in early disease detection and improved patient outcomes. Her involvement in high-impact research projects at leading institutions places her at the forefront of medical innovation.
🔮 LEGACY AND FUTURE CONTRIBUTIONS
Parisa Kaviani’s ongoing research and clinical practice continue to pave the way for future advancements in radiology and medical AI. Her commitment to leveraging technology to improve healthcare services ensures that her legacy will be one of innovation and enhanced medical care. As she progresses in her career, her influence is expected to grow, inspiring new methodologies and practices within the medical community.
NOTABLE PUBLICATIONS
- Title: Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports
Authors: Mahmood, R.; Wong, K.C.L.; Reyes, D.M.; D’Souza, N.; Shi, L.; Wu, J.; Kaviani, P.; Kalra, M.; Wang, G.; Yan, P.
Journal: arXiv
- Title: Artificial Intelligence Diagnostic Accuracy in Fracture Detection from Plain Radiographs and Comparing it with Clinicians: A Systematic Review and Meta-Analysis
Authors: Nowroozi, A.; Salehi, M.A.; Shobeiri, P.; Agahi, S.; Momtazmanesh, S.; Kaviani, P.; Kalra, M.K.
Journal: Clinical Radiology
- Title: Artificial Intelligence-Generated Smart Impression from 9.8-Million Radiology Reports as Training Datasets from Multiple Sites and Imaging Modalities
Authors: Kaviani, P.; Kalra, M.K.; Digumarthy, S.R.; Rodriguez, K.; Agarwal, S.; Brooks, R.; En, S.; Alkasab, T.; Bizzo, B.C.; Dreyer, K.J.
Journal: medRxiv
- Title: Development and Validation of a Dynamic-Template-Constrained Large Language Model for Generating Fully-Structured Radiology Reports
Authors: Niu, C.; Kaviani, P.; Lyu, Q.; Kalra, M.K.; Whitlow, C.T.; Wang, G.
Journal: arXiv
- Title: Evaluating Automated Radiology Report Quality Through Fine-Grained Phrasal Grounding of Clinical Findings
Authors: Mahmood, R.; Yan, P.; Reyes, D.M.; Wang, G.; Kalra, M.K.; Kaviani, P.; Wu, J.T.; Syeda-Mahmood, T.
Journal: arXiv