The diffusion of digital clinical systems to record and manage patient’s medical information has created an explosion of the amount of healthcare data available for different purposes. One of the innovative uses of those data is to create digital solutions for diagnosis, prognosis, treatment aids and for other clinical decisions.
Artificial Intelligence (AI) adapts and integrates a wide range of disciplines, including mathematics, statistics, computer science, and many others. With the current rapid advancement of cloud computational power and storage as well as innovative methodologies, AI has the potential to transform healthcare. The development of AI solutions is mainly based on the use of large amounts of data, eventually coupled with expert’s knowledge.
Nephrology, as well as the other medical fields, may benefit from the use of AI solutions and to improve patient outcomes, also to improve the performance of healthcare providers.
On the other hand, after several years of developing AI solutions for healthcare, some barriers seem to hamper the diffusion of such applications in real settings. The AI applications used in practice remain a small fraction of the developed one.
This article collection is looking for research studies, projects, and applications of AI in nephrology. Particular attention is given to work pertaining to:
- New medical solutions based on AI
- The impact of AI in clinical setting
- Integration of AI in clinical process
- Health economics and AI
- Barriers for the diffusion of AI
- Data privacy and AI
The goal of this article collection is to investigate how AI may change the future of renal care, improve patient outcome, analyzing critically the pros and the cons of this fascinating set of tools for the nephrologist of today and tomorrow.
The diffusion of digital clinical systems to record and manage patient’s medical information has created an explosion of the amount of healthcare data available for different purposes. One of the innovative uses of those data is to create digital solutions for diagnosis, prognosis, treatment aids and for other clinical decisions.
Artificial Intelligence (AI) adapts and integrates a wide range of disciplines, including mathematics, statistics, computer science, and many others. With the current rapid advancement of cloud computational power and storage as well as innovative methodologies, AI has the potential to transform healthcare. The development of AI solutions is mainly based on the use of large amounts of data, eventually coupled with expert’s knowledge.
Nephrology, as well as the other medical fields, may benefit from the use of AI solutions and to improve patient outcomes, also to improve the performance of healthcare providers.
On the other hand, after several years of developing AI solutions for healthcare, some barriers seem to hamper the diffusion of such applications in real settings. The AI applications used in practice remain a small fraction of the developed one.
This article collection is looking for research studies, projects, and applications of AI in nephrology. Particular attention is given to work pertaining to:
- New medical solutions based on AI
- The impact of AI in clinical setting
- Integration of AI in clinical process
- Health economics and AI
- Barriers for the diffusion of AI
- Data privacy and AI
The goal of this article collection is to investigate how AI may change the future of renal care, improve patient outcome, analyzing critically the pros and the cons of this fascinating set of tools for the nephrologist of today and tomorrow.