About this Research Topic
The exploration and understanding of acute kidney injury (AKI) have evolved over centuries. In recent years, remarkable advancements in artificial intelligence (AI) technology, particularly in machine learning methods and computer capabilities, have accelerated the development and application of AI in the biomedical field. In the era of big data, an increasing number of scholars and clinicians recognize the potential of AI in clinical research utilizing high-quality data and appropriate machine learning techniques. AI has the ability to predict the occurrence, progression, and prognosis of AKI, and can even assist in clinical decision-making, contributing to advancements in precision medicine. However, it is crucial to thoroughly consider the ethical and medical-legal liability issues associated with AI.
This Research Topic aims to explore the latest advancements in the utilization of AI technology in AKI research, focusing on early diagnosis, disease progression, subtypes, treatment strategies, and prognosis. Additionally, we also welcome investigations into the ethical and moral aspects of AI application in AKI research. By fostering discussions and knowledge exchange in these areas, we aim to advance the integration of AI in AKI research, ultimately improving patient care and outcomes.
We invite submissions of Original Research and Review articles that address AI technologies in AKI research. Topics of interest include, but are not limited to:
• AI-guided management of AKI
• AI-based prediction of AKI incidence, including early diagnosis and identification of AKI subtypes
• AI-based prognostic models for AKI, including mortality prediction and assessment of renal function recovery
• AI-assisted medical decision-making for AKI patients, such as the application of continuous renal replacement therapy (CRRT) and monitoring of anticoagulation
• Ethical and moral considerations of AI technology in AKI research
This Research Topic aims to explore the latest advancements in the utilization of AI technology in AKI research, focusing on early diagnosis, disease progression, subtypes, treatment strategies, and prognosis. Additionally, we also welcome investigations into the ethical and moral aspects of AI application in AKI research. By fostering discussions and knowledge exchange in these areas, we aim to advance the integration of AI in AKI research, ultimately improving patient care and outcomes.
We invite submissions of Original Research and Review articles that address AI technologies in AKI research. Topics of interest include, but are not limited to:
• AI-guided management of AKI
• AI-based prediction of AKI incidence, including early diagnosis and identification of AKI subtypes
• AI-based prognostic models for AKI, including mortality prediction and assessment of renal function recovery
• AI-assisted medical decision-making for AKI patients, such as the application of continuous renal replacement therapy (CRRT) and monitoring of anticoagulation
• Ethical and moral considerations of AI technology in AKI research
Keywords: Acute Kidney Injury, Artificial Intelligence, Big Data, Machine Learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
