ABSTRACT
PURPOSE: To evaluate the potential of the artificial intelligence (AI) chatbot ChatGPT in supporting young clinical scientists with scientific tasks in radio oncological research. MATERIALS AND METHODS: Seven scientific tasks were to be completed in 3 h by 8 radiation oncologists with different scientific experience working at a university hospital: creation of a scientific synopsis, creation of a research question and corresponding clinical trial hypotheses, writing of the first paragraph of a manuscript introduction, clinical trial sample size calculation, and clinical data analyses (multivariate analysis, boxplot and survival curve). No participant had prior experience with an AI chatbot. All participants were instructed in ChatGPT v3.5 and its use was provided for all tasks. Answers were scored independently by two blinded experts. The subjective value of ChatGPT was rated by each participant. Data were analyzed with regression-, t-test and Spearman correlation (p < 0.05). RESULTS: Participants completed tasks 1-3 with an average score of 50% and 4-7 with 56%. Scientific experience, number of original publications and of first/last authorships showed a positive correlation with overall scoring (p = 0.01-0.04). Participants with little to moderate scientific experience scored ChatGPT to be more helpful in solving tasks 4-7 compared to more experienced participants (p = 0.04), with simultaneously presenting lower scorings (p = 0.03). CONCLUSIONS: ChatGPT did not compensate for differences in scientific experience of young clinical scientists, with less experienced researchers believing false AI-generated scientific results.
ABSTRACT
OBJECTIVES: To report the complete genome sequence of a methicillin-resistant Staphylococcus vitulinus from ground beef to allow comparison with other available S. vitulinus genomes and to investigate its SCCmec element. METHODS: Meat samples from grocery stores in Denmark were examined for the presence of staphylococcal species by plating on selective plates. One colony isolated from beef was identified as S. vitulinus by MALDI-TOF and genome sequenced using a combination of Illumina and Oxford Nanopore technologies. Phylogenetic and in silico resistome analyses were performed for all available S. vitulinus genomes. RESULTS: The closed genome of S. vitulinus Tienloo1 isolate had a chromosome size of 2,628,028 bp and contained a single novel 2,380 bp plasmid based on a hybrid assembly. It carried mecA as the only resistance marker. The isolate was found not to carry any immune evasion cluster genes, which have been putatively associated to human origin. Comparison with all publicly available S. vitulinus draft genomes showed a diverse population and revealed that only the Danish beef isolate contained a mec gene in addition to a ccr gene complex. Additionally, the single ccrC gene within the isolate was novel and distant from the mecA2 gene. CONCLUSION: This isolate, Tienloo1, from a ground beef meat sample represents the first complete genome of S. vitulinus found to carry a mecA2 gene and a novel ccr allotype in its SCCmec element that is distinct from all publicly available draft S. vitulinus genomes.
