30 results
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001129 - From Symptoms to MBPT: A Machine Learning Approach to Asthma Diagnosis

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D2.11 - A confidence score for basophil activation test: improving interpretation around diagnostic cutoffs

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D2.77 - A Novel Neural Network for Quantifying Wheal and Erythema in Skin Prick Testing

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D3.429 - Performance Analysis of Five Large Language Models, Including GPTo1-Preview, On an Allergy and Clinical Immunology Exam

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D3.430 - Artificial intelligence Chatbots Can Influence the Decision-Making and Behavior of Patients with Allergies: Results of a Multicenter Evaluation Study

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D3.431 - Can Artificial Intelligence-Based Large Language Models Provide Accurate and Reliable Information to Asthma Patients? A Comparative Analysis with Expert Insights

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D3.136 - Worse asthma control in patients with asthma and respiratory allergies in the CAPTURE study: Rationale for developing the RespiratoryAllergyOptimiser

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D3.194 - Renewal’s analysis of liquid sublingual immunotherapy (SLIT) treatments using iPUMP: SPEED study, a Real-Life study

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D1.145 - A Clinical Decision Support System (CDSS) based on Machine Learning for the diagnosis of Seasonal Allergenic Rhinitis (SAR) and patient-tailored AIT prescription

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D1.60 - Impact of real-world confounders on the accuracy of an AI model to support the read out of skin prick automated test results