Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ethical Issues

Ethical Issues

Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:

Acute Kidney Injury IV: Diagnostic Studies and Prevention

Acute Kidney Injury IV: Diagnostic Studies and Prevention

Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Chronic Kidney Disease III: Interprofessional Care

Chronic Kidney Disease III: Interprofessional Care

Chronic kidney disease (CKD) requires collaborative and comprehensive management. CKD progresses through stages and can lead to end-stage kidney disease (ESKD) if untreated. Interprofessional collaboration and patient education are crucial, enabling patients to manage their health and improve their quality of life.Diagnostic approach for chronic kidney diseaseThe diagnosis of CKD primarily focuses on the glomerular filtration rate (GFR), which assesses kidney function by measuring how well...

Acute Kidney Injury V: Interprofessional Care

Acute Kidney Injury V: Interprofessional Care

Acute Kidney Injury (AKI) requires a collaborative healthcare approach to restore renal function and prevent complications. Essential management strategies involve monitoring fluid and electrolyte balance, adjusting medications, initiating dialysis when necessary, and providing nutritional support.Fluid and Electrolyte ManagementFluid Monitoring: Regularly monitoring body weight, central venous pressure, and urine output helps detect fluid imbalances early. Patient intake and output are...

Current Trends in Nursing II

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

We Can Do Better: Preformed Dialysis Access for Aboriginal and Torres Strait Islander People: A Retrospective Cohort Analysis From the Australia and New Zealand Dialysis and Transplantation Registry 2004-2020.

Kidney360·2026

Same author

AI Ethics Guidelines: Time to Include Animals.

Science and engineering ethics·2026

Same author

Using Linked Health Service Data in Multimodal Modeling of Kidney Transplant Waitlist Outcomes: Protocol for the Maximizing Organ Donor Utility Systemwide (MODUS) Study.

JMIR research protocols·2025

Same author

The use and abuse of moral theories in conservation debate about killing animals.

Conservation biology : the journal of the Society for Conservation Biology·2024

Same author

Assessing survival post-kidney transplantation in Australia: A multivariable prediction model.

Nephrology (Carlton, Vic.)·2023

Same author

Ethics of artificial intelligence in prenatal and pediatric genomic medicine.

Journal of community genetics·2023

Search research articles

Related Experiment Video

Updated: Jan 9, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Confronting the Ethical Issues with Artificial Intelligence Use in Nephrology.

Alison Weightman^1,2,3, Philip Clayton^1,2,3, Simon Coghlan⁴

¹Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.

|December 5, 2025

Summary

Artificial Intelligence (AI) offers potential in nephrology for areas like transplant allocation and CKD management. However, ethical challenges concerning AI reliability, bias, privacy, and sustainability must be addressed for responsible implementation.

Keywords:

artificial intelligence nephrology

More Related Videos

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Related Experiment Videos

Last Updated: Jan 9, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Nephrology
Medical Ethics
Health Informatics

Background:

Artificial Intelligence (AI) presents significant opportunities for advancing nephrology care.
Current clinical applications of AI in nephrology are limited but expanding.
Potential applications include transplant allocation, remote dialysis monitoring, and chronic kidney disease (CKD) management.

Purpose of the Study:

To explore the ethical challenges associated with AI implementation in nephrology.
To provide recommendations for addressing these ethical issues at both clinical and healthcare system levels.

Main Methods:

Literature review and ethical analysis of AI applications in nephrology.
Discussion of key ethical concerns including trustworthiness, accountability, bias, privacy, informed consent, and environmental impact.

Main Results:

AI in nephrology raises critical ethical issues: trustworthiness, accountability, bias perpetuation, patient privacy risks, informed consent complexities, and environmental sustainability.
Addressing these requires careful consideration of AI system reliability and data security.

Conclusions:

Proactive ethical frameworks are essential for integrating AI into nephrology practice.
Recommendations focus on ensuring responsible AI deployment, safeguarding patient rights, and promoting equitable healthcare outcomes.