Prof. Dr. Josep Vidal-Alaball

@jvalaball

Vocational Catalan rural #PrimaryCare & #PublicHealth eDoc. Research coordinator @icscatcentral @IDIAPJgol & professor @u_medicina. Tweets r my personal opinion

Berga (Barcelona), Catalunya about.me/jvalaball Joined February 2010

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Prof. Dr. Josep Vidal-Alaball @jvalaball Mar 24

📢 New paper published in JMIR AI on AI in primary care.

We evaluated a multicenter proof-of-concept study on AI-driven automatic clinical note generation in primary care centres in Catalonia.

@primariaicscat #ICSCatCentral @IDIAPJGol #USRCatCentral

🔗 ai.jmir.org/2026/1/e80549

ai.jmir.org Evaluating Patient and Professional Satisfaction and Documentation Time Reduction Through AI-Driven... Background: The workload that stems from writing clinical histories is one of the main sources of stress and overload for primary care professionals, accounting for up to 43% of the working day. The...

Prof. Dr. Josep Vidal-Alaball @jvalaball 21h

Acute bacterial rhinosinusitis is suggested by symptoms lasting ≥10 days without improvement or worsening after initial improvement. Routine imaging is discouraged; uncomplicated cases can be observed if follow-up is assured. #primarycare

doi.org/10.1001/jama.2…

jamanetwork.com Diagnosis and Management of Acute Rhinosinusitis in Adults This JAMA Clinical Guidelines Synopsis summarizes the 2025 update of the American Academy of Otolaryngology–Head and Neck Surgery Foundation guideline on diagnosis and management of acute rhinosinu...

Prof. Dr. Josep Vidal-Alaball @jvalaball 2d

Delighted to be included in the Stanford–Elsevier World’s Top 2% Scientists 2026 list (single-year impact, 2025 citations). In General & Internal Medicine: 3,565/360,081, within the top 0.99%. Grateful to the teams and collaborators! 🙏

doi.org/10.17632/btchx…

Prof. Dr. Josep Vidal-Alaball @jvalaball 3d

Molt content d’haver estat inclòs a la llista Stanford–Elsevier World’s Top 2% Scientists 2026 (impacte anual, citacions de 2025). En General & Internal Medicine: 3.565/360.081, dins del top 0,99%. Gràcies als equips i col·laboradors! 🙏

doi.org/10.17632/btchx…

Prof. Dr. Josep Vidal-Alaball @jvalaball 4d

Our real-world validation of chest X-ray AI in primary care found high specificity (0.98) but limited sensitivity (0.48) across 278 images. Deployment needs local validation, monitoring and continued training. #ClinicalAI #PrimaryCare

doi.org/10.1038/s41598…

www.nature.com Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in... Scientific Reports - Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings