Article

Who should do as AI say? Only non-task expert physicians benefit from correct explainable AI advice

2022-06-01

Abstract excerpt

<title>Abstract</title> <p>Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians’ decision-making is underexplored. In this study, physicians received X-rays with correct diagnostic advice and were asked to make a diagnosis, rate the advice’s quality, and judge their own confidence. We manipulated whether the advic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1b2e75d9-11ad-5843-b976-b27b8361055d
DOI: 10.21203/rs.3.rs-1687219/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Who should do as AI say? Only non-task expert physicians benefit from correct explainable AI adviceDOI 10.21203/rs.3.rs-1687219/v1Read

The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretationSemantic proximity Read

Medical Clinical Minds Meet Artificial Intelligence: Italian Physicians’ Knowledge, Attitudes, and Concordance between Italian Physicians and AI-Generated Diagnoses. A National Cross-Sectional StudySemantic proximity Read

Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in RadiologySemantic proximity Read

Explainable Artificial Intelligence (XAI) for Oncological Ultrasound Image Analysis: A Systematic ReviewSemantic proximity Read

Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosisSemantic proximity Read

Bridging the Gap: Explainability Metrics for AI Image-Based Clinical DiagnosticsSemantic proximity Read

Exploring the Interpretability of AI Decision Support Systems for Surgical Anatomy RecognitionSemantic proximity Read

Needs and Expectations for Artificial Intelligence in Emergency Medicine According to Canadian PhysiciansSemantic proximity Read

Influence of believed AI involvement on the perception of digital medical adviceSemantic proximity Read

A Unified Platform for Radiology Report Generation and Clinician-Centered AI EvaluationSemantic proximity Read

Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled TrialSemantic proximity Read

Explainable Artificial Intelligence in Precision Medicine: Methods, Applications, and ChallengesSemantic proximity Read