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RESFormedica S.R.L.Evento 483868 / Edizione 1

Reumatologia 2026. Ai am a rheumatologist. From ai theory to clinical decisions

Convegno residenziale a Bari (25-26 giugno 2026) su intelligenza artificiale e reumatologia: machine learning, LLM, digital biomarkers e prompt engineering applicati alla pratica clinica reumatologica, con sessioni pratiche e hackathon.

Questo evento si è concluso il 26 giugno 2026.

Provider
Formedica S.R.L.Formedica S.R.L. (157)
Crediti ECM
10,5
Costo
1.464,00 €
Durata
9 ore
Date
25 - 26 giugno 2026
Aggiungi al Piano

Razionale scientifico

Artificial intelligence is reshaping medicine at a pace that rheumatology cannot afford to ignore. The specialty is characterised by multisystem diseases, heterogeneous phenotypes, and composite outcome measures that have long outgrown the analytical capacity of conventional statistics. Machine learning, large language models, and digital biomarkers now offer tools capable of navigating this complexity — provided they are implemented with rigour and a clear clinical purpose. The clinical stakes are high across multiple disease areas. In rheumatoid arthritis, machine learning models trained on real-world cohorts are stratifying patients by likelihood of biologic response and predicting radiographic progression, while video-based tools such as motion capturing are objectifying joint assessment in ways that reduce examiner subjectivity and enable remote monitoring. In spondyloarthritis, diagnostic delay still averages seven to ten years, and AI-assisted screening of primary care records and imaging repositories holds genuine promise for earlier referral; telemonitoring platforms integrating patient-reported outcomes and wearable data — as illustrated by Prof. Antoni Chan's experience in axial SpA — are already enabling treat-to-target strategies without frequent in-person visits. In connective tissue diseases, pulmonary fibrosis remains one of the gravest complications, and deep learning applied to high-resolution CT is now achieving radiologist-level performance in detecting and quantifying fibrotic involvement, while multimodal prognostic models integrating imaging, pulmonary function, and remote sensor data are beginning to guide antifibrotic therapy decisions. Across all these contexts, well-designed LLM pipelines can structure and synthesise the scattered clinical narratives — radiology reports, MDT notes, outpatient letters — that currently make longitudinal management unnecessarily fragmented. Yet a fundamental gap persists between this promise and everyday clinical practice. Most rheumatologists have limited exposure to the methodological foundations that determine whether a model is trustworthy and reproducible. EULAR is revising its Points-to-Consider on AI, editorial standards for LLM-assisted writing are being debated, and regulatory frameworks are still catching up. RheumatologIA was conceived to bridge this gap — offering, in two intensive days, a trajectory from Python and machine learning foundations through to prompt engineering, digital phenotyping, and the ethics of AI in publishing. The faculty unites EULAR leadership, digital rheumatology pioneers, biomedical physicists, and AI developers around a single mission: to equip clinicians with the critical literacy and hands-on skills needed to evaluate, use, and shape AI responsibly in the care of their patients.

Luogo

Sala Convegni The Nicolaus Hotel
Via Cardinale Agostino Ciasca, 27, Bari (BA)

Programma

Thursday 25 June 2026 — Understanding AI · Talking to AI · Running AI Locally
  • 14:30–15:00Welcome Coffee & Registration
  • 15:00–15:10Special Address — The Importance of AI for Doctors (NO ECM)Prof. Giorgio Parisi
  • 15:10–15:25Opening Lecture: AI and Telemedicine in Rheumatology: Between Hype and HopeProf. Florenzo Iannone
  • 15:25–15:55Keynote Lecture: The Manifold Aspects of AI in Rheumatology: From ML to Digital Biomarkers and LLMsProf. Thomas Hügle
  • 15:55–16:15Lecture — Why We Need to Update the EULAR Points-to-Consider on AIProf. Latika Gupta
  • 16:15–16:35Talk — AI and Telemonitoring: The UK ExperienceProf. Antoni Chan
  • 16:35–17:05Coffee Break
  • 17:05–18:25Interactive Course — Prompt Engineering for Clinicians and ResearchersProf. Vincenzo Venerito, Dr. Sergio Del Vescovo
  • 18:25–19:25Hands-On Session — Running Your First Local LLMDr. Orazio Angelini, Dr. Sergio Del Vescovo, Dr. José Miguel Sequí Sabater, Dr. Xabier Michelena Vegas, Dr. Emre Bilgin, Dr. Diego Benavent Nunoz, Prof. Vincenzo Venerito, Pierfrancesco Novielli, PhD, Dr Marc Blanchard
Friday 26 June 2026 — Building with AI · Vibe Coding · Hackathon
  • 09:30–10:30Lecture — Explainable AI & ML: What Clinicians Need to KnowProf. Sabina Tangaro, Dr. Pierfrancesco Novielli
  • 10:30–11:00From Terminal to Claude CodeDr. Orazio Angelini
  • 11:00–11:15Coffee Break
  • 11:15–12:30Hands-On — Agentic CursorDr. José María Sequí Sabater
  • 12:30–13:00Magistral Lecture — LLMs in RheumatologyProf. Vincenzo Venerito
  • 13:00–13:30Lecture — AI in Medical Writing and Publishing: Opportunities, Limits, and Editorial EthicsDr. Diego Benavent
  • 13:30–14:30Lunch
  • 14:30–16:45HACKATHON: Clinical Data Extraction from Synthetic EHRDr. Orazio Angelini, Dr. Sergio Del Vescovo, Dr. José Miguel Sequí Sabater, Dr. Xabier Michelena Vegas, Dr. Emre Bilgin, Dr. Diego Benavent Nunoz, Prof. Vincenzo Venerito, Pierfrancesco Novielli, PhD, Dr Marc Blanchard
  • 16:45–17:00Closing Remarks & Certificate DistributionProf. Florenzo Iannone, Prof. Vincenzo Venerito

Responsabili del corso

FORMEDICA S.R.L.

Provider

ID Provider: N° 157

Città: Lecce (LE)

Tipologia: Società, Agenzie Ed Enti Privati

Stato accreditamento: Standard - 1° Rinnovo

  • Florenzo Iannone

    Responsabile scientifico

    Specializzazione: Reumatologia

    Struttura: Università di Bari

    Ruolo: Prof. Ordinario Reumatologia

Relatori e docenti

  • Orazio Angelini

    Relatore

    Specializzazione: Fisica

    Struttura: Amazon Research, King's College London

    Ruolo: Researcher

  • Diego Benavent Nunez

    Relatore

    Specializzazione: Reumatologia

    Struttura: Hospital Universitario La Paz, Madrid

    Ruolo: Medical Doctor

  • Emre Bilgin

    Moderatore

    Specializzazione: Reumatologia

    Struttura: Hacettepe University, Turchia

    Ruolo: Rheumatologist

  • Marc Blanchard

    Tutor

    Specializzazione: Reumatologia

    Struttura: Lausanne University Hospital (CHUV)

    Ruolo: Ph.D. candidate in digital health solutions for chronic rheumatic conditions

  • Antoni Chan

    Relatore

    Specializzazione: Reumatologia

    Struttura: Royal Berkshire NHS Foundation Trust, UK

    Ruolo: Consultant Rheumatologist

Domande frequenti

L'evento è accreditato per: Medico Chirurgo (Allergologia Ed Immunologia Clinica, Malattie Dell'apparato Respiratorio, Medicina Interna, Reumatologia, Radiodiagnostica).

Fonte dati per questo evento: Agenas. Evento organizzato da provider terzo. Smart ECM riporta dati pubblici dell'evento a scopo informativo e non è responsabile né del corso né dei contenuti, né ha accordi commerciali o di collaborazione con il provider.

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