image: The First World Congress on AI & Medicine will be launched during the Second Conference on AI & Nephrology this September in Paris. view more
Credit: Artificial Intelligence & Medicine
PARIS, FRANCE – Following the resounding success of its first edition, the Artificial Intelligence & Medicine Group announces its upcoming 2nd National French Conference on AI & Nephrology, scheduled to take place on September 14-15, 2023, in the heart of Paris, France. Esteemed experts, medical professionals, researchers, and industry leaders from Francophone countries will converge at this prestigious event to explore the profound impact of artificial intelligence (AI) in revolutionizing the field of nephrology and transforming kidney care.
Why a second conference on AI & Nephrology?
The significance of this conference lies in acknowledging the immense potential of AI in addressing the challenges faced by nephrology and its far-reaching effects on patient outcomes. With kidney disease affecting millions worldwide and placing an immense burden on healthcare systems, the integration of AI presents unparalleled opportunities for early detection, precise diagnosis, and personalized treatment strategies.
The conference will serve as an essential platform to foster collaboration, facilitate knowledge exchange, and share best practices among experts. Its central aim is to illuminate the transformative role of AI in nephrology, empowering healthcare providers to deliver more accurate and effective interventions, enhance patient management, optimize resource allocation, and ultimately elevate the quality of care provided to individuals with kidney-related conditions.
The presidents of AI & Nephrology 2023, Dr. Jean-René Larue, Centre de Néphrologie Les Fleurs, Ollioules, and Marvin Edeas, Université de Paris, stated: "This second conference will explore how this groundbreaking technology can reshape the future of kidney care. AI will promote the potential to make significant strides in early detection, prognosis, and treatment of kidney disease, ultimately improving patient outcomes and alleviating the burden on healthcare systems."
Speaker Lineup & Topics
- Understanding the basics of AI – Jean-Baptiste Woillard, Limoges University Hospital
- The contribution of artificial intelligence in the epidemiology of CKD: DAKOTAH study – Laurence Dubel, Astellas Pharma, Paris
- IgA Nephropathy and Artificial Intelligence – Nicolas Maillard, Saint-Étienne
- Rethinking the production of health data – Pierre-Antoine Gourraud, Nantes University, INSERM - UMR 1064, CR2Ti & Nantes University Hospital
- Lost in transcription: Discoveries to be made in the data already published – Pierre Galichon, AP-HP, Paris
- Data extraction from APHP medical records – Jean-Baptiste Julla & Théo Jolivet, AP-HP, Paris
- Screening tools for arteriovenous fistula stenosis and AI: Myth or reality? – David Attaf, Fresenius Medical Care, Paris
- Machine Learning: Examples of application 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 & Cécile Crichton, Law and Health Institute, Paris
- The secondary use framework for health data from historical databases – Pierre Legros, Université Côte d’Azur
- Monetization/Valorization of data – Anaïs Person, Paris Cité University
- Designing ethical and inclusive digital tools: Issues and Methods – Jehanne Dussert, Ministry of the Interior, Paris
- Evaluation of digital medical devices based on artificial intelligence – Christian Jacquelinet, Agence de la Biomedecine, Saint-Denis
- Difficulties for nephrologists to adopt an AI tool – Christophe Ridel, NephroCare, Paris
- Round table discussion with patient representatives “Hope, Fears and Prospects”
- Redefining D-R histocompatibility beyond HLA – Sophie Limou, CR2TI UMR 1064, iTHINK team, Nantes
- Beyond D-R HLA histocompatibility: Genome-wide survival studies – Vincent Mauduit, Nantes University, CHU Nantes
- Classification of forms of renal graft rejection by machine learning from histological lesions and clinical context – Marc Labriffe, CHU de Limoges
- Longitudinal prediction of GFR post-transplantation by Recurrent Neural Network – Jean Baptiste Woillard, University Hospital of Limoges
- Contribution of convolution networks in image analysis – Vincent Vuiblet, I2AS, Reims
- Daily AI in cardiology (MRI and ultrasound) – Chirine Parsaï, Polyclinic les Fleurs, Ollioules
- The contribution of AI in cytology: the example of the VisioCyt® solution for bladder cancer – Camelia Radulescu, Hôpital Foch, Paris
- Aid in the diagnosis of acute humoral rejection by AI in renal transplantation – Irène Mappe-Fogaing, IIAS, Reims
- Contribution of AI for basic research in nephropathology: Application to vibrational spectroscopy – Seydou Kane, IIAS, BioSpect - URCA Reims
- From financial algorithms to prostate cancer screening: Artificial intelligence at the service of transdisciplinarity – Nicolas Martelin, Prostperia, Nancy
- Digital and artificial intelligence: the foundations of tomorrow's precision dialysis – Bernard Canaud, University of Montpellier
- Hemodynamic monitoring augmented by a biomechanical model of the heart and patient-specific vessels – Arthur Le Gall, Rennes University Hospital
- Role of AI in predicting the risk of postoperative acute renal failure – Stanislas Faguer, Toulouse University Hospital INSERM UMR 1297, Paul Sabatier University, Toulouse
- Development of tools and predictions using Artificial Intelligence in Resuscitation-Triage-Scoring and Patient Monitoring – Salah Boussen, AP-HM, Marseille
- Automatic natural language processing and health perspectives – Solen Quiniou, University of Nantes
- Applications of NLP in health and in IRC Thomas – Petit-Jean, APHP Paris
- Configuration and application of ChatGPT type solutions for professionals – Clément Lacaille, Cogitum, Paris
- Prediction of variations in serum sodium – Sunny Randhawa, Marseille
- Concluding remarks by Marvin Edeas, University of Paris, INSERM 1016, Paris and Corinne Isnard-Bagnis, AP-HP, Sorbonne University, Paris
For more information about the speakers, program, supporters and many more, please visit the French website: http://www.targeting-ai.com/nephrologie.
The First World Congress on Artificial Intelligence & Medicine will be launched this September
The scientific committee of AI & Medicine 2024 is pleased to announce the inaugural International Congress on Artificial Intelligence & Medicine 2024. Following the resounding success of the two French conferences dedicated to Artificial Intelligence & Nephrology in 2021 and 2023, this conference will be conducted entirely in English.
The Artificial Intelligence & Medicine 2024 Conference will take place on April 11-12, 2024, in Paris, France.
Stay tuned for more information about the upcoming World Congress: http://www.targeting-ai.com/.