Our different clinical perspectives are brought together by an interest in how medical AI earns trust.
Our team brings together experience in clinical AI evaluation, neuroradiology, respiratory medicine and quantitative imaging.
Medical imaging and Clinical AI research
Lakshmi is a physician-researcher whose work connects medical imaging and machine learning. She leads CalibRAItion and researches radiomics, scanner robustness and the calibration of clinical models. Her interests include examining how an apparently promising model behaves beyond its original evaluation setting.
Neuroradiology and Clinical AI research
Shreyas is pursuing a neuroradiology fellowship at Rush University Medical Center. He has an interest in both paediatric and adult neuroradiology. His research interests span neuroinflammation, neuro-oncology, epilepsy imaging, advanced MRI, functional connectomics and artificial intelligence in neuroradiology.
Respiratory medicine and Clinical AI research
Pallavi is a physician and clinician–AI researcher interested in how medical experience can shape useful AI systems. She contributes to clinical data curation, model evaluation, interpretation and scientific communication, including work involving AI-supported research tools and rare lung diseases.
Radiology and Clinical AI research
Viswanathan works as an assistant professor and consultant radiologist. His interests include medical imaging, radiogenomics and artificial intelligence, with research into imaging-based predictive models and the translation of quantitative imaging into clinically meaningful applications.
Paediatric imaging and Clinical AI research
Divya is a radiologist with a special interest in paediatric imaging, artificial intelligence and imaging informatics. Her interests include imaging research, AI model evaluation and exploring how AI can support radiology.
Read the approach, evidence and limitations together.