AI in Healthcare Diagnostics

Research Topic & Context

Clinical reliability and workflow impact of AI-assisted diagnostic decision support in radiology and primary care

About this draft

This 41-page research paper examines how AI-assisted diagnostic decision support performs when it leaves the benchmark and enters the clinic. It weighs reported diagnostic accuracy in radiology and primary care against the messier evidence on clinician adoption, alert fatigue, and workflow fit, and reviews the bias and governance questions that determine whether a deployment is defensible.

The draft was produced by CiteLyra's research pipeline: academic search across Crossref, Semantic Scholar, and OpenAlex assembled a bibliography of medical AI evaluation studies, and the writing agents were constrained to cite from that source list. Every reference in the APA bibliography carries checkable metadata, so you can open the PDF and assess each claim against its source.

What the 41-page draft covers

• Introduction and clinical context
• Literature review of diagnostic AI evaluation studies
• Diagnostic accuracy across radiology and primary care
• Clinician adoption and workflow integration
• Bias, safety, and governance requirements
• Discussion and implications for deployment
• APA reference list with resolvable DOIs

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