arXiv — NLP / Computation & Language · July 29, 2026 · 3 min read

Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools

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Computer Science > Information Retrieval

arXiv:2607.24793 (cs)

[Submitted on 29 Jun 2026]

Title:Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools

Authors:Kirk Roberts, Steven Bedrick, Kurt Miller, William R. Hersh, Hongfang Liu

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Abstract:Discussions around large language model (LLM) errors in clinical artificial intelligence (AI) generally center around precision errors like hallucinations. This perspective, targeting both clinicians and AI researchers, seeks to shift that discussion to recall errors, particularly in retrieval of patient-level data needed for many clinical AI tools. The perspective outlines types of errors and mitigation strategies, describes research directions in LLMs and retrieval, and provides an overview of retrieval evaluation.

Comments:	Perspective piece
Subjects:	Information Retrieval (cs.IR); Computation and Language (cs.CL)
Cite as:	arXiv:2607.24793 [cs.IR]
	(or arXiv:2607.24793v1 [cs.IR] for this version)
	https://doi.org/10.48550/arXiv.2607.24793 arXiv-issued DOI via DataCite

Submission history

From: Kirk Roberts [view email]
[v1] Mon, 29 Jun 2026 02:31:16 UTC (220 KB)

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