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Research Square|December 8, 2025
Generative AI-Enhanced Microcalcification Detection in Full-Field Digital Mammography: Reducing False Positives with High SensitivityKyungsu Kim, Manisha Bahl, Adham Mahmoud Alkhadrawi, et al.
AI in Precision Oncology|April 4, 2025
Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT)Leslie R Lamb, Constance D Lehman, Synho Do, et al.
NPJ Digital Medicine|February 20, 2026
Defining operational safety in clinical artificial intelligence systemsYoung-Tak Kim, Hyunji Kim, Manisha Bahl, et al.
Radiology|July 29, 2025
AI to Reduce the Interval Cancer Rate of Screening Digital Breast TomosynthesisManisha Bahl, Saul Langarica, Leslie R Lamb, et al.
Briefings in Bioinformatics|September 23, 2025
MINERVA-microbiome network research and visualization atlas: a scalable knowledge graph for mapping microbiome-disease associationsSaul Langarica, Young-Tak Kim, Adham Alkhadrawi, et al.
Journal of Imaging Informatics in Medicine|June 25, 2025
ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid VolumeAdham M Alkhadrawi, Valeria Peña-Trujillo, Sebastian Gallo-Bernal, et al.
Ophthalmology Science|March 5, 2026
A Deep Learning Framework for Predicting Teprotumumab Treatment Response in Thyroid Eye DiseaseSaul Langarica, Nahyoung Grace Lee, Adham M Alkhadrawi, et al.
Journal of the Korean Society of Radiology|October 17, 2024
[Explainable & Safe Artificial Intelligence in Radiology]Synho Do
Investigative Ophthalmology & Visual Science|May 2, 2024
Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye DiseaseAdham M Alkhadrawi, Lisa Y Lin, Saul A Langarica, et al.
ACS Nano|April 15, 2026
Targeted Surface-Enhanced Raman Scattering for Highly Accurate Identification of Bacterial Species and Finding Spectral Signatures with Explainable Artificial IntelligenceYoung-Tak Kim, Ju Eun Cho, Min Ji Hwang, et al.
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