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From the 2 of 7 papers with an AI index.

most citedHumanity's Last Exam

18 citations

7 papers

q-bio.NC2026

Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment

Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14

The paper reviews 239 studies on using artificial intelligence for deep brain stimulation in movement disorders, evaluating how mature the technologies are and identifying validati…

cs.CV202612 cited

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

Kaiyuan Yang, Fabio Musio, Yihui Ma +112

The paper introduces the TopCoW Challenge, a benchmark for automatically segmenting the Circle of Willis in CT and MR angiography using deep learning, and provides a new annotated…

cs.CV2026

Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework

Sarah de Boer, Hartmut Häntze, Kiran Vaidhya Venkadesh +9

Renal mass segmentation has important potential to enhance the clinical workflow, especially in settings requiring quantitative assessments. Kidney volume could serve as an importa…

cs.CL2026

Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes

Johann Frei, Nils Feldhus, Lisa Raithel +3

For clinical data integration and healthcare services, the HL7 FHIR standard has established itself as a desirable format for interoperability between complex health data. Previous…

stat.ME20262 cited

Treatment Effect Estimation in Causal Survival Analysis: Practical Recommendations

Charlotte Voinot, Clément Berenfeld, Imke Mayer +2

The restricted mean survival time (RMST) difference offers an interpretable causal contrast to estimate the treatment effect for time-to-event outcomes, yet a wide range of availab…

cs.LG202618 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…