most citedEvaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception

28 citations · 29 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

The Value of System 1 Models in Medicine

Xiufeng Yang, Konstantinos Vrettos, Zeineb Ben Chaaben +17

Many clinical decisions are a choice among a few fixed options, taken quickly and in large numbers. Such decisions also need an uncertainty estimate to know when to defer to a clin…

cs.LG2026

Routine laboratory trajectories encode the onset of organ-level complications in cancer

Jannik Lübberstedt, Krischan Braitsch, Jacqueline Lammert +21

Routine laboratory panels drawn during cancer treatment constitute longitudinal physiological recordings of organ function, yet their temporal structure is discarded by single-time…

cs.CL2026

Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial

Lisa C. Adams, Linus Marx, Erik Thiele Orberg +8

Question: Does atomic fact-checking, which decomposes AI treatment recommendations into individually verifiable claims linked to source guideline documents, increase clinician trus…

cs.AI2026

Agentic clinical reasoning over longitudinal myeloma records: a retrospective evaluation against expert consensus

Johannes Moll, Jannik Lübberstedt, Christoph Nuernbergk +21

Multiple myeloma is managed through sequential lines of therapy over years to decades, with each decision depending on cumulative disease history distributed across dozens to hundr…

cs.CL2023★ 28 cited

Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception

Sebastian Ziegelmayer, Alexander W. Marka, Nicolas Lenhart +7

The remarkable generative capabilities of multimodal foundation models are currently being explored for a variety of applications. Generating radiological impressions is a challeng…

cs.CV2023★ 1 cited

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Alina F. Dima, Veronika A. Zimmer, Martin J. Menten +8

Automated segmentation of the blood vessels in 3D volumes is an essential step for the quantitative diagnosis and treatment of many vascular diseases. 3D vessel segmentation is bei…