AIMC Topic: Nephrology
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GPT-4's performance in supporting physician decision-making in nephrology multiple-choice questions.
Scientific reports
May 2, 2025
Generative Pre-trained Transformer (GPT)-4, a versatile conversational artificial intelligence, has potential applications in medicine, but its ability to support physicians' decision-making remains unclear. We evaluated GPT-4's performance in assist...
Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee.
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Feb 28, 2025
In the current paper, we will focus on requirements to ensure big data can advance the outcomes of our patients suffering from kidney disease. The associated ethical question is whether and how we as a nephrology community can and should encourage th...
The dawn of multimodal artificial intelligence in nephrology.
Nature reviews. Nephrology
Feb 1, 2024
A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology.
Seminars in nephrology
May 1, 2021
Digitalization in nephrology has progressed in a manner that is disparate and siloed, even though learning (under a broader Learning Health System initiative) has been manifested in all the main areas of clinical application. Most applications based ...
Artificial intelligence with kidney disease: A scoping review with bibliometric analysis, PRISMA-ScR.
Medicine
Apr 9, 2021
BACKGROUND: Artificial intelligence (AI) has had a significant impact on our lives and plays many roles in various fields. By analyzing the past 30 years of AI trends in the field of nephrology, using a bibliography, we wanted to know the areas of in...
Insights into Futuristic Renal Medicine.
Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
Jan 1, 2021
The revolutionary innovations in biology and information technology influenced many medical and health disciplines. Although it is lagging behind others, renal medicine entered this chain of events. Nephrology and renal transplantation have many inhe...
Machine learning in nephrology: scratching the surface.
Chinese medical journal
Mar 20, 2020
Machine learning shows enormous potential in facilitating decision-making regarding kidney diseases. With the development of data preservation and processing, as well as the advancement of machine learning algorithms, machine learning is expected to ...
Considerations for advancing nephrology research and practice through natural language processing.
Kidney international
Feb 1, 2020
Much of medical data is buried in the free text of clinical notes and not captured by structured data, such as administrative codes. Natural language processing (NLP) can locate and use information that resides in unstructured free text. Chan et al. ...
[Nephrology: knowledge and digital memory].
Giornale italiano di nefrologia : organo ufficiale della Societa italiana di nefrologia
Jan 1, 2016
Mathematical sciences have had a huge development with the use of numbers, which is used to process images, sounds and computer languages. Medical knowledge is collected in databases in text format (groups of words). So far, words in Medicine have ne...
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