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Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast Cancer Self-Screening Rules into AI Responses
The research aims to evaluate ChatGPT's reasoning capabilities, emphasizing its potential to process rules and provide explanations for screening recommendations.
Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature
Objectives Using the mean of prompt engineering, we assess the similarity and closeness of such contents to real literature produced by scientists.
Detection of ChatGPT Fake Science with the xFakeSci Learning Algorithm
In this study, we show how articles can be generated using means of prompt engineering for various diseases and conditions.
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification
Since the launch of various generative AI tools, scientists have been striving to evaluate their capabilities and contents, in the hope of establishing trust in their generative abilities.
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