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

Critical Thinking II01:25

Critical Thinking II

2.9K
Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:
2.9K
Patient-centered Care01:13

Patient-centered Care

2.1K
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...
2.1K
Critical Thinking I01:24

Critical Thinking I

3.3K
Critical thinking helps decision-making and allows nurses to recognize barriers to success and find solutions to possible issues. It helps to brainstorm and implement ideas to achieve goals. Critical thinking helps acknowledge and state workflow inefficiencies while improving management techniques. Nurses understand the value of critical thinking and look for fellow nurses with critical thinking skills to upgrade their professional standards. Critical thinking can advance a nurse's career...
3.3K
Nursing Clinical Information System01:27

Nursing Clinical Information System

812
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
812
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

597
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
597
SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

4.5K
SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Improving neoadjuvant and perioperative therapy in non-small-cell lung cancer.

Nature reviews. Clinical oncology·2026
Same author

Prognostic dynamics of pathological complete response and ctDNA clearance after neoadjuvant/perioperative immunotherapy in cancer: a reconstructed individual patient analysis.

Journal of the National Cancer Institute·2026
Same author

Clinical Characteristics and Survival Outcomes in Patients With Small Cell Lung Cancer in Spain: An Analysis of the Thoracic Tumor Registry (2016-2025).

Archivos de bronconeumologia·2026
Same author

Machine Learning Assessment of Pathologic Response in Lung Cancer Resections After Neoadjuvant Therapy-IASLC MPR Project.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2026
Same author

Characteristics and clinical outcomes of a nationwide cohort of patients with small cell lung cancer following first-line treatment: Real-world evidence.

Lung cancer (Amsterdam, Netherlands)·2026
Same author

International Consensus on Severe Lung Cancer-The Second Edition.

Translational lung cancer research·2026

Related Experiment Video

Updated: Jul 16, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.9K

Examining explainable clinical decision support systems with think aloud protocols.

Sabrina G Anjara1, Adrianna Janik2, Amy Dunford-Stenger1

  • 1Accenture The Dock, Dublin, Ireland.

Plos One
|September 14, 2023
PubMed
Summary

This study explored how oncologists perceive AI explanations for cancer relapse prediction. Findings reveal key factors influencing the credibility and utility of explainable AI (XAI) in clinical practice.

More Related Videos

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

4.6K
Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

9.1K

Related Experiment Videos

Last Updated: Jul 16, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.9K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

4.6K
Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

9.1K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Clinical Decision Support

Background:

  • Machine learning (ML) enhances healthcare quality and treatment planning.
  • Explainable AI (XAI) is crucial for understanding ML models, fostering trust and adoption.
  • Limited user studies exist on the interpretability of explanations for black-box ML models.

Purpose of the Study:

  • To explore oncologists' assessment of an AI system for lung cancer relapse prediction.
  • To refine an explanation model for improved credibility and utility using expert feedback.
  • To understand factors influencing clinicians' perception of AI system usefulness and trustworthiness.

Main Methods:

  • Utilized a Think Aloud Protocol (TAP) with ten oncologists.
  • Employed TAP as a neutral methodology to capture experts' thought processes without explicit prompts.
  • Conducted a thematic analysis of verbalized responses to identify key themes.

Main Results:

  • Identified five key themes influencing oncologists' perceptions of the AI system.
  • Elicited factors affecting the credibility and usefulness of the AI's explanations.
  • Gained insights into the integration of explainable AI into daily clinical workflows.

Conclusions:

  • The study provides a deeper understanding of how oncologists evaluate explainable AI tools.
  • Findings can inform the development of more credible and useful AI explanation models for clinical settings.
  • Highlights the importance of user-centered design and evaluation in AI implementation for healthcare professionals.