Author

R. Isaac

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#machine learning Preprint Sep 2026

Comparison of techniques for fine-tuning open-weight models for entity extraction from radiology reports

Converting free-text radiology reports into structured labels supports cohort building, quality assurance, and monitoring of clinical imaging models, but the strongest label extractors are hosted proprietary models whose use raises privacy, cost, and reproducibility concerns. We asked whether a fine-tuned open-weight m...

Aawez Mansuri, Kush Mehta, Mohammadreza Chavoshi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Multi-Site Real-World Performance of Commercial AI for Pulmonary and Incidental Pulmonary Embolism Detection

Pulmonary embolism (PE) is a leading cause of cardiovascular mortality, yet the real-world performance of FDA-cleared AI detection models remains incompletely characterized. We retrospectively evaluated two FDA-cleared AI algorithms from a single commercial platform (Aidoc Medical BriefCase), one for PE triage on dedic...

Aawez Mansuri, Mohammadreza Chavoshi, T. Dapamede et al. · 0 citations

#small language model Preprint Sep 2026

Solving the Needle-in-a-Haystack Problem in Mammography Vision-Language Model with Differentiable Subset Sampling

TopKSigLIP outperforms existing open-source mammography and general medical VLMs on both internal and external benchmarks on density assessment, BI-RADS classification, finding subtyping, and cancer prediction under zero-shot evaluation.

Y. Jeon, Beatrice Brown-Mulry, R. Isaac et al. · 0 citations