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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

S. A. Naqvi

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Jul 2026

Strategies for Deploying Large Language Models for Ascertaining Clinical Outcomes and Sites of Metastases From Radiology Impressions in Patients With Cancer.

Open-source LLMs, when fine-tuned using labeled data, can effectively automate the ascertainment of key radiophenotypic variables using only the impression section of radiology reports, without the full report text, suggesting that these models may provide a scalable approach for phenotypic characterization of patients with cancer in real-world clinical settings.

S. A. Naqvi, I. Riaz, Amir Saeidi et al. · 0 citations
Open access Jun 2026

Structured reasoning failures compromise LLM interpretation of clinical oncology notes.

Evaluating and monitoring reasoning fidelity should be a prerequisite for safe deployment of LLMs in oncology decision support, as endpoint accuracy alone may mask clinically meaningful reasoning failures.

Matthew Kenaston, U. Ayub, Mihir Parmar et al. · 0 citations

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