Melina Hosseiny, MD, University of California, San Diego, for her work on “Multi-task Ensemble Deep Learning for Differential Diagnosis of Pneumonia and Pulmonary Edema on Chest Radiograph.” 

Hosseiny is diagnostic radiology resident at UCSD, deeply engaged in AI and medical imaging research, notably leading a Radiological Society of North America (RSNA) grant focusing on deep learning in oncologic imaging. Recognized with awards from esteemed scientific societies like SAR and SABI, her research findings are widely acknowledged and cited in the scientific community. Hosseiny also holds leadership positions within the radiology field, including chairing committees and contributing to editorial boards of leading journals, driven by her passion for advancing the field inspired by mentors at UCSD.

Ahmed Taher, MD, University of Texas Health Science Center at Houston, for his work on “Safety and Efficacy of Zilretta Administered to Patients with Greater Trochanteric Bursitis.”

Taher is a radiology resident at UTHealth Houston. He boasts a rich academic and clinical background, including research stints at institutions like MD Anderson Cancer Center and the University of Alabama, Birmingham. Through his decade-long career, he has contributed significantly to peer-reviewed articles, book chapters and presentations at prestigious radiology conferences. Taher's commitment extends beyond medicine, actively participating in community service initiatives while his diverse interests in soccer, literature, music and culinary arts reflect a well-rounded professional dedicated to advancing healthcare and enriching lives.

Hana L. Haver, MD, Massachusetts General Hospital for her work on “Large Language Models to Assist Breast Imaging Reporting: A Comparison of GPT-3.5 Versus GPT-4 in Assigning BI-RADS Final Assessment Categories.”

Haver is a fellow at Massachusetts General Hospital, specializing in breast imaging. She has a diverse educational background, including a master's degree in infectious diseases, vaccinology and drug discovery. She completed her diagnostic radiology residency at the University of Maryland Medical Center after attending the University of Massachusetts Medical School. Haver's research expertise lies in artificial intelligence, particularly in utilizing large language models to enhance patient-centered communications for breast and lung cancer, as well as improving the reporting of breast imaging examinations.

Jessica T. Wen, MD, PhD, Stanford University for her work on “Alpha-Fetoprotein Response Patterns After Y-90 Radioembolization for Intermediate-to-Advanced Hepatocellular Carcinoma Predicts Disease Progression and Survival.”

Wen is a PGY-4 diagnostic/interventional radiology resident at Stanford University who transitioned to medicine from pursuing a PhD in bioengineering after her father's diagnosis of liver cirrhosis secondary to occult hepatitis B infection highlighted health disparities among Asian Americans. Since then, her research interests have centered on hepatocellular carcinoma and liver disease, advocating for health equity through initiatives like Research with Inclusion, Social Justice, and Equity (RISE), which aims to raise awareness about the necessity for disaggregated cohort reporting by race/ethnicity in medical research.

Hosseiny, Taher, Haver and Wen will present their research findings during the 124th ARRS Annual Meeting at John B. Hynes Veterans Memorial Convention Center in Boston on May 5-9.