Landmark 2nd Congress to be Held in Paris

Paris, France – Following the huge success of the first, the Artificial Intelligence & Medicine Group will host the 2nd National French Conference on AI and Nephrology on September 14-15, 2023 in the heart of Paris, France announced that it was planned . Respected experts, medical experts, researchers and industry leaders from French-speaking countries gather at this prestigious event to explore the revolution in nephrology and the profound impact of artificial intelligence (AI) in transforming renal care .

Why hold a second conference on AI and nephrology?

The significance of this conference is to recognize the immense potential of AI in addressing the challenges facing nephrology and its far-reaching impact on patient outcomes. As kidney disease affects millions of people worldwide and places a tremendous burden on healthcare systems, the integration of AI is a unique opportunity to enable early detection, accurate diagnosis and personalized treatment strategies. bring opportunity.

The conference serves as an important platform for fostering collaboration among professionals, facilitating knowledge exchange and sharing best practices. Its primary purpose is to uncover the transformative role of AI in nephrology, enabling healthcare providers to deliver more accurate and effective interventions, enhancing patient management, optimizing resource allocation, and ultimately nephrology. To improve the quality of care provided to individuals with related illnesses.

Dr. Jean-Rene Lalou, Center for Nephrology Les Fleurs in Ollioules, and Dr. Marvin Edeas, University of Paris, Presidents of AI & Nephrology 2023, said:This second conference explores how this breakthrough technology can reshape the future of kidney care. AI facilitates the potential for major advances in early detection, prognosis and treatment of kidney disease, ultimately improving patient outcomes and reducing the burden on healthcare systems.“

Speaker lineup and topics

• Understanding the Basics of AI – Jean-Baptiste Willard, Limoges University Hospital
• The Contribution of Artificial Intelligence in the Epidemiology of CKD: The DAKOTAH Study – Lawrence Dubell, Astellas Pharma, Paris
• IgA Nephropathy and Artificial Intelligence – Nicolas Maillard, Saint-Etienne
• Rethinking Health Data Generation – Pierre-Antoine Gourraud, University of Nantes, INSERM – UMR 1064, CR2Ti, University Hospital of Nantes
• Lost in Transcription: Discovery Made in Data Already Published – Pierre Galichon, AP-HP, Paris
• Data Extraction from APHP Medical Records – Jean-Baptiste Julla and Théo Jolivet, AP-HP, Paris
• Arteriovenous fistula screening tools and AI: myth or reality? – David Attaf, Fresenius Medical Care, Paris
• Machine Learning: Examples of Applications and Perspectives – Marie Laurent, Data Scientist, HEVA, Lyon
• What’s New in Data Collection? – Jean-Philippe Bertocchio, SKEZI, Paris
• Health Data Hub – Axelle Menu-Branthomme, Health Data Hub, Paris
• Theradata Project – Frédéric Le Pottier, Théradial, Pays de la Loire
• Everything You Need to Know About Federated Learning – Maxime Touzot, Owkin, Paris
• Legal Status of Health Data – Cyril Aufrechter and Cécile Crichton, Institute for Legal Health, Paris
• Framework for Secondary Use of Health Data from Historical Databases – University of the Côte d’Azur Pierre Legros
• Data monetization/valuation – Anais Persson, University of Paris Cité
• Designing Ethical and Inclusive Digital Tools: Issues and Methods – Jehanne Dussert, Ministry of the Interior, Paris
• Evaluation of artificial intelligence-based digital medical devices – Christian Jacquelinet, Saint-Denis Biomedical Agency
• The Difficulty of Adopting AI Tools for Nephrologists – Christophe Ridel, NephroCare, Paris
• Round-table discussion with patient representatives “Hope, Anxiety, Perspective”
• Redefining DR Histocompatibility Beyond HLA – Sophie Limou, CR2TI UMR 1064, iTHINK Team, Nantes
• Beyond DR HLA Histocompatibility: A Genome-Wide Survival Study – Vincent Mauduit, University of Nantes, CHU Nantes
• Classifying Forms of Renal Graft Rejection Using Machine Learning from Histological Lesions and Clinical Situations – Marc Labriffe, CHU de Limoges
• Longitudinal Prediction of GFR after Transplantation by Recurrent Neural Networks – Jean Baptiste Woillard, Limoges University Hospital
• Contribution of Convolutional Networks in Image Analysis – Vincent Vuiblet, I2AS, Lance
• Routine AI in Cardiology (MRI and Ultrasound) – Chirine Parsaï, Polyclinic Les Fleurs, Ollioules
• Contribution of AI in Cytology: Example VisioCyt® Solution for Bladder Cancer – Camelia Radulescu, Hospital Foch, Paris
• AI aids in diagnosing acute humoral rejection in renal transplantation – Irène Mappe-Fogaing, IIAS, Lance
• Contribution of AI to Basic Research in Kidney Pathology: Application to Vibrational Spectroscopy – Seydou Kane, IIAS, BioSpect – URCA Reims
• From Financial Algorithms to Prostate Cancer Screening: Artificial Intelligence Delivering Multidisciplinary Services – Nicolas Martelin, Prostperia, Nancy
• Digital and Artificial Intelligence: The Foundations of Tomorrow’s Precision Dialysis – Bernard Canaud, University of Montpellier
• Hemodynamic monitoring enhanced by biomechanical models of the heart and patient-specific blood vessels – Arthur Le Gall, Rennes University Hospital
• The role of AI in predicting the risk of postoperative acute renal failure – Stanislas Faguer, Toulouse University Hospital INSERM UMR 1297, Paul Sabatier University, Toulouse
• Developing Tools and Predictions Using Artificial Intelligence in Resuscitation, Triage, Scoring and Patient Monitoring – Salah Boussen, AP-HM, Marseille
• Automated Natural Language Processing and Health Perspectives – Solen Quiniou, University of Nantes
• Applications of NLP in Health and IRC Thomas – Petit-Jean, APHP Paris
• Composition and application of ChatGPT type solutions for professionals – Clément Lacaille, Cogitum, Paris
• Prediction of Serum Sodium Variation – Sunny Landawa, Marseille
• Closing remarks by Marvin Edeas, University of Paris INSERM 1016 and CorinneIsard-Bagnis, AP-HP, Sorbonne, Paris

For more information on speakers, programs and supporters, please visit our French website at http://www.targeting-ai.com/nephrologie.

The 1st World Congress on Artificial Intelligence and Medicine will be held in September this year

AI and Medicine 2024 The Scientific Committee is pleased to announce the 1st International Conference on Artificial Intelligence and Medicine 2024. Following the great success of his two French conferences dedicated to artificial intelligence and nephrology in 2021 and 2023, the conference will take place entirely in 2024. English.

The Artificial Intelligence and Medicine 2024 Conference will take place on April 11-12, 2024 in Paris, France.

For more information on upcoming World Conferences, please visit http://www.targeting-ai.com/.