3 papers
cs.CL2026
ChronoMedKG: A Temporally-Grounded Biomedical Knowledge Graph and Benchmark for Clinical Reasoning
Md Shamim Ahmed, Farzaneh Firoozbakht, Lukas Galke Poech +2
Biomedical knowledge graphs (KGs) treat disease associations as static facts, but temporal information is crucial for clinical reasoning, e.g., a symptom diagnostic of one disease…
cs.CL2026
The Provenance Gap in Clinical AI: Evidence-Traceable Temporal Knowledge Graphs for Rare Disease Reasoning
Md Shamim Ahmed, Maja Dusanic, Moritz Nikolai Kirschner +4
Frontier large language models generate clinically accurate outputs, but their citations are often fabricated. We term this the Provenance Gap. We tested five frontier LLMs across…
cs.IR2026
S4CMDR: a metadata repository for electronic health records
Jiawei Zhao, Md Shamim Ahmed, Nicolai Dinh Khang Truong +3
Background: Electronic health records (EHRs) enable machine learning for diagnosis, prognosis, and clinical decision support. However, EHR standards vary by country and hospital, m…