Article

Evaluation of the diagnostic capabilities of artificial intelligence in the cardiology department of the Bogodogo University Hospital Center using CHAT GPT

2024-08-27

Abstract excerpt

<title>Abstract</title> <p><bold>Introduction</bold>: ChatGPT is an artificial intelligence developed by OpenAI. It can be used to generate positive and differential diagnoses. However, its effectiveness in a cardiology department in Africa has not been studied. <bold>Objectives: To</bold> evaluate the diagnostic accuracy of ChatGPT4 in the cardiology department of the Bogodogo University Hospital Center. <bold>P...

Topics

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

Identifiers and source

Literature Corpus work: c0270634-c726-5ea2-a15d-81060542106d
DOI: 10.21203/rs.3.rs-4578427/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Evaluation of the diagnostic capabilities of artificial intelligence in the cardiology department of the Bogodogo University Hospital Center using CHAT GPTDOI 10.21203/rs.3.rs-4578427/v1Read

Assessing the Competence of ChatGPT-3.5 Artificial Intelligence System in Executing the ACLS Protocol of the AHA 2020Semantic proximity Read

A Comparative Study of Predictive model (ECG Buddy) and ChatGPT-4o for Myocardial Infarction Diagnosis via ECG image Analysis: Performance, Accuracy, and Clinical FeasibilitySemantic proximity Read

Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical ReviewSemantic proximity Read

Artificial Intelligence in Biomedicine: Systematic ReviewSemantic proximity Read

Global review of assisted diagnosis tools using medical database and artificial intelligence methods to improve complex disease diagnosisSemantic proximity Read

Medical tele-diagnoses in countries with limited resources: Comparison of a general generative AI system with a clinical decision support systemSemantic proximity Read

Artificial Intelligence in Medical Diagnosis and Treatment Planning Among Healthcare Professionals in a Tertiary Hospital, in TanzaniaSemantic proximity Read

Explainable Artificial Intelligence for the Detection and Characterisation of Stage B Heart FailureSemantic proximity Read

Artificial intelligence–enabled electrocardiogram for mortality and cardiovascular risk estimation: An actionable, explainable and biologically plausible platformSemantic proximity Read

Applying Artificial Intelligence for Phenotyping of Inherited Arrhythmia Syndromes.Semantic proximity Read

Combination AI-Machine Learning to Diagnose Pulmonary Hypertension: A Real-World Evidence Cohort StudySemantic proximity Read

Diagnostic Accuracy of Artificial Intelligence for Arrhythmia Detection Using the 12-Lead Electrocardiogram: A Systematic Review and Meta-AnalysisSemantic proximity Read