AI tool aims to cut allergy misdiagnosis in primary care
NCT ID NCT07631039
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether AI-powered decision trees can help general practitioners better diagnose and manage allergies. About 600 patients with suspected allergies will be enrolled, and doctors will use an app that suggests next steps based on symptoms. The goal is to see if this tool reduces incorrect diagnoses and unnecessary referrals to specialists, improving care for common allergic conditions like asthma, food allergy, and hives.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-automated decision trees on an application
- What this could lead to
- If successful, this could provide GPs with a simple, effective tool to better diagnose and manage allergies, reducing misdiagnosis and unnecessary specialist visits.
- What could go wrong
- This is an early-stage validation study with no phase, so results may not confirm effectiveness. The tool's success depends on ease of use and integration into daily practice, which may vary.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Département Universitaire de Médecine Générale MSPU CHU Montpellier
Saint-Georges-dOrques, Occitanie, 34680, France
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MSP Calypso
Roujan, Occitanie, 34320, France
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MSP Pézenas-Tourbes
Tourbes, Occitanie, 34120, France
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MSP Universitaire Avicenne
Cabestany, Occitanie, 66330, France
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Msp Beau Art
Perpignan, Occitanie, 66000, France
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Msp Charles Gide
Nîmes, Occitanie, 30000, France
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Msp Espace Sante Servian
Béziers, Occitanie, 34500, France
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Msp Montpellier -Cevenne
Montpellier, Occitanie, 34080, France
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Msp Narbo Ouest
Narbonne, Occitanie, 11100, France
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Msp Sud Minevoir
Saint-Marcel-sur-Aude, Occitanie, 11120, France
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