Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
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...
6.1K
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.2K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
2.2K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.3K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.3K
Current Trends in Nursing II01:30

Current Trends in Nursing II

3.3K
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,...
3.3K
Patient-centered Care01:13

Patient-centered Care

2.8K
Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
2.8K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

5.9K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.9K

You might also read

Related Articles

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

Sort by
Same author

Aesthetic injustice in healthcare: exploring testimonial and hermeneutical forms.

Medicine, health care, and philosophy·2026
Same author

Can AI principlism without explicability be coherent? A response to Segers and De Proost.

Theoretical medicine and bioethics·2025
Same author

A scoping review of the ethics frameworks describing issues related to the use of extended reality.

Open research Europe·2025
Same author

Defending explicability as a principle for the ethics of artificial intelligence in medicine.

Medicine, health care, and philosophy·2023

Related Experiment Video

Updated: Jan 10, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

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

Published on: July 11, 2025

752

Artificial Intelligence and Understanding in Medicine.

Jonathan Adams1

  • 1Centre for Medical Ethics, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.

Bioethics
|November 28, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) in medicine impacts understanding across disease, illness, and sickness. While AI offers benefits like transparency and certainty, it may obscure subjective experiences and complicate clinical empathy.

Keywords:
artificial intelligence in medicinecertaintyempathymedical epistemologytransparencyunderstanding

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

Related Experiment Videos

Last Updated: Jan 10, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

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

Published on: July 11, 2025

752
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

Area of Science:

  • Medical Informatics
  • Philosophy of Medicine
  • Artificial Intelligence in Healthcare

Background:

  • The integration of artificial intelligence (AI) into medicine necessitates a nuanced understanding of its impact on medical knowledge.
  • Current assessments often overlook the multifaceted nature of medical understanding, encompassing biomedical, experiential, and social dimensions.

Purpose of the Study:

  • To propose a conceptual framework for evaluating the epistemic effects of AI in medicine.
  • To analyze how AI influences the three dimensions of medical understanding: disease, illness, and sickness.
  • To link AI's potential impacts to core epistemic values: transparency, certainty, and empathy.

Main Methods:

  • A three-dimensional model of medical understanding is employed: disease (biomedical), illness (first-person experience), and sickness (social role).
  • The analysis conceptually examines how AI intersects with these dimensions and epistemic aims.
  • This paper provides a theoretical foundation rather than an empirical review of specific AI applications.

Main Results:

  • AI can enhance transparency in bodily processes and improve diagnostic certainty.
  • AI may challenge traditional clinical empathy and understanding of subjective illness experiences.
  • Conversely, AI risks obscuring value-laden aspects of illness and complicating social dimensions of sickness.

Conclusions:

  • AI's impact on medical understanding is complex, offering both enhancements and potential detriments.
  • The proposed framework highlights the need to consider AI's influence on transparency, certainty, and empathy.
  • This conceptual approach serves as a basis for future empirical research on AI's role in healthcare.