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Artificial intelligence : a new field of knowledge for nephrologists
Fayos de Arizon, Leonor (Institut d'Investigació Biomèdica Sant Pau)
R. Viera, Elizabeth (Institut d'Investigació Biomèdica Sant Pau)
Pilco-Teran, Melissa (Institut d'Investigació Biomèdica Sant Pau)
Perera Lluna, Alexandre (Institut de Recerca Sant Joan de Déu)
De Maeztu, Gabriel (IOMED)
Nicolau, Anna (Neuroelectrics)
Furlano, Monica (Institut d'Investigació Biomèdica Sant Pau)
Torra Balcells, Roser (Institut d'Investigació Biomèdica Sant Pau)
Universitat Autònoma de Barcelona

Fecha: 2023
Resumen: Artificial intelligence (AI) is a science that involves creating machines that can imitate human intelligence and learn. AI is ubiquitous in our daily lives, from search engines like Google to home assistants like Alexa and, more recently, OpenAI with its chatbot. AI can improve clinical care and research, but its use requires a solid understanding of its fundamentals, the promises and perils of algorithmic fairness, the barriers and solutions to its clinical implementation, and the pathways to developing an AI-competent workforce. The potential of AI in the field of nephrology is vast, particularly in the areas of diagnosis, treatment and prediction. One of the most significant advantages of AI is the ability to improve diagnostic accuracy. Machine learning algorithms can be trained to recognize patterns in patient data, including lab results, imaging and medical history, in order to identify early signs of kidney disease and thereby allow timely diagnoses and prompt initiation of treatment plans that can improve outcomes for patients. In short, AI holds the promise of advancing personalized medicine to new levels. While AI has tremendous potential, there are also significant challenges to its implementation, including data access and quality, data privacy and security, bias, trustworthiness, computing power, AI integration and legal issues. The European Commission's proposed regulatory framework for AI technology will play a significant role in ensuring the safe and ethical implementation of these technologies in the healthcare industry. Training nephrologists in the fundamentals of AI is imperative because traditionally, decision-making pertaining to the diagnosis, prognosis and treatment of renal patients has relied on ingrained practices, whereas AI serves as a powerful tool for swiftly and confidently synthesizing this information. plans, leading to better patient outcomes. However, the implementation of AI in healthcare faces several challenges. The European Commission's proposed regulatory framework aims to promote the safe and ethical use of AI in healthcare. To fully leverage the benefits of AI, nephrologists and other healthcare professionals need to be educated about its fundamentals and its potential applications in routine patient care. This will enable them to effectively utilize AI technologies and provide better care for kidney patients.
Ayudas: Instituto de Salud Carlos III PI22/00361
Agencia Estatal de Investigación PID2021-122952OB-I00
Agencia Estatal de Investigación DPI2017-89827-R
Derechos: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. Creative Commons
Lengua: Anglès
Documento: Article ; recerca ; Versió publicada
Materia: Artificial intelligence ; Kidney ; Machine learning ; Natural language processing ; Nephrology
Publicado en: Clinical Kidney Journal, Vol. 16 Núm. 12 (january 2023) , p. 2314-2326, ISSN 2048-8513

DOI: 10.1093/ckj/sfad182
PMID: 38046016


13 p, 1.2 MB

El registro aparece en las colecciones:
Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias de la salud y biociencias > Institut de Recerca Sant Pau
Artículos > Artículos de investigación
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 Registro creado el 2024-11-28, última modificación el 2025-12-02



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