Lisa Adams

Dr. Lisa Adams is a Research Fellow at the Technical University of Munich (TUM) and an Attending Radiologist at TUM University Hospital Rechts der Isar, affiliated with the Diagnostic and Interventional Radiology department. She holds an Albrecht Struppler Clinician Scientist Fellowship (2024) and leads research in the Quantitative Imaging Biomarkers for Predictive Healthcare focus group. Adams earned her MD from Charité - Universitätsmedizin Berlin (2016), completed board certification in radiology (2021), and conducted postdoctoral research at Stanford University (2022-2023). She transferred her Habilitation in Experimental Radiology to TUM in 2024.

Her research integrates AI with radiology diagnostics, specializing in:

• Developing machine learning methods for early disease detection and risk assessment
• Advancing quantitative imaging biomarkers across organ systems
• Body composition analysis and biological age estimation
• Multimodal analysis for personalized healthcare
• Ethical implementation of AI in clinical practice

Adams' recent publications demonstrate strong focus on AI applications in radiology, spanning large language models for clinical reporting, deep learning for medical image interpretation, nanoparticle tracking in regenerative medicine, and radiomics for cancer diagnosis. Her work consistently bridges technical innovation with clinical translation.

Awards & Recognition:

• Walter-Friedrich-Prize, Deutsche Röntgengesellschaft (2023)
• Alavi Mandell Award (2021)
• Invest in the Youth Stipend, ECR Vienna (2017)

She actively mentors doctoral candidates, having supervised seven PhD students to completion since 2020 with two more nearing submission. Adams secures substantial research funding from DFG, EU, Wilhelm Sander Foundation, Bayern Innovativ, and Berlin Institute of Health. She serves as Scientific Editor for European Radiology and Trainee Editorial Board Member for Radiology: Artificial Intelligence, while also holding leadership positions in the German Radiological Society.