Discover the newest research about AI innovations in 💉 Allergy & Immunology.
Worcestershire Acute Hospitals NHS Trust has launched an electronic prescribing system to enhance patient safety and streamline medication processes. 💊🏥
New tool predicts low-risk betalactam allergies with 93% specificity! 🤖📊 Study on 6468 patients shows promise for delabeling.
NLP algorithm effectively identifies adult asthma in EHRs: 92% sensitivity, 99% specificity. Key for clinical research! 📊💡
Digital health innovations in allergy care: A framework for sustainability and improved patient outcomes. 🌍📱
Exploring AI’s role in inborn errors of immunity: 10 actionable strategies for enhanced diagnosis and treatment. 🤖💉
AI identifies 16 immune cell subsets in rheumatoid arthritis with 100% sensitivity and specificity. Key findings on immune responses. 🧬🔬
Deep learning predicts live births in recurrent implantation failure with 87.4% accuracy. Key factors: age, Th1/Th2 ratio, BMI. 📊🤰
ChatGPT-4’s allergen immunotherapy responses rated fair quality, but lacked reliability and readability for patient use. 📊🤔
New ARIA-EAACI 2024-2025 guidelines utilize AI and EtD frameworks for allergic rhinitis management. 📊🤖
Exploring AI’s role in allergy practice: potential impacts on diagnosis and treatment efficiency. 🤖🌼
