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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

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...
Ethical Dilemmas I01:17

Ethical Dilemmas I

Ethical dilemmas in nursing are of utmost importance, as they often arise from the tension between adhering to core ethical principles and the practical realities of healthcare delivery. These dilemmas require nurses to navigate complex situations where competing ethical considerations pull them in different directions.
Let us explore some examples to understand the potentially complex moral decisions nurses face.
Take the case of caring for minors, particularly in areas related to reproductive...
Ethical Dilemmas II01:30

Ethical Dilemmas II

Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
Ethical Issues01:27

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:
Current Trends in Nursing II01:30

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,...
Ethics and Bioethics01:22

Ethics and Bioethics

Ethics is a philosophical study of moral actions. Ethics attempts to determine what is valuable for individuals and society. It examines the rational justification of moral judgments and analyzes what is morally just, fair, and right. Bioethics is a sub-discipline of applied ethics that analyzes the philosophical, social, and legal issues in life sciences and medicine. Ethical theories serve as a foundation for decision-making and represent the viewpoints from which people seek direction. They...

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Related Experiment Videos

Artificial Intelligence in Medicine: Basic Knowledge, Applications, Ethics and Perspectives.

Marco Cascella1, Maria Teresa Avella2, Marcello Di Pumpo3,4

  • 1Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno, Baronissi, Italy.

Journal of Evaluation in Clinical Practice
|May 26, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances medical diagnostics and personalized medicine. However, challenges in data quality, transparency, and ethics require careful consideration for safe clinical use.

Keywords:
artificial intelligencedeep learningethicshealthcaremachine learning

Related Experiment Videos

Area of Science:

  • Medical Informatics
  • Computational Medicine

Background:

  • Artificial intelligence (AI) is revolutionizing healthcare with advanced diagnostic, prognostic, and decision-support tools.
  • AI integration promises to enhance patient care and medical research.

Purpose of the Study:

  • To review core AI concepts in medicine.
  • To explore clinical applications, ethical considerations, and future trends of AI in healthcare.

Main Methods:

  • A narrative review was performed.
  • Key AI technologies examined include machine learning, deep learning, and neural networks.
  • Applications across major medical specialties were analyzed.

Main Results:

  • AI shows high efficacy in diagnostic support, prognostic prediction, medical imaging analysis, and personalized medicine.
  • Significant challenges persist, including data quality issues, model generalizability, lack of transparency, and ethical concerns.

Conclusions:

  • AI holds substantial potential for advancing healthcare delivery and precision medicine.
  • Rigorous validation, ethical governance, and regulatory frameworks are crucial for safe and effective clinical implementation of AI.