Background and objective ChatGPT is an artificial intelligence (AI) language model that has been trained to process and respond to questions across a wide range of topics. It is also capable of solving problems in medical educational topics. However, the capability of ChatGPT to accurately answer first- and second-order knowledge questions in the field of microbiology has not been explored so far. Hence, in this study, we aimed to analyze the capability of ChatGPT in answering first- and second-order questions on the subject of microbiology. Materials and methods Based on the competency-based medical education (CBME) curriculum of the subject of microbiology, we prepared a set of first-order and second-order questions. For the total of eight modules in the CBME curriculum for microbiology, we prepared six first-order and six second-order knowledge questions according to the National Medical Commission-recommended CBME curriculum, amounting to a total of (8 x 12) 96 questions. The questions were checked for content validity by three expert microbiologists. These questions were used to converse with ChatGPT by a single user and responses were recorded for further analysis. The answers were scored by three microbiologists on a rating scale of 0-5. The average of three scores was taken as the final score for analysis. As the data were not normally distributed, we used a non-parametric statistical test. The overall scores were tested by a one-sample median test with hypothetical values of 4 and 5. The scores of answers to first-order and second-order questions were compared by the Mann-Whitney U test. Module-wise responses were tested by the Kruskall-Wallis test followed by the post hoc test for pairwise comparisons. Results The overall score of 96 answers was 4.04 ±0.37 (median: 4.17, Q1-Q3: 3.88-4.33) with the mean score of answers to first-order knowledge questions being 4.07 ±0.32 (median: 4.17, Q1-Q3: 4-4.33) and that of answers to second-order knowledge questions being 3.99 ±0.43 (median: 4, Q1-Q3: 3.67-4.33) (Mann-Whitney p=0.4). The score was significantly below the score of 5 (one-sample median test p<0.0001) and similar to 4 (one-sample median test p=0.09). Overall, there was a variation in median scores obtained in eight categories of topics in microbiology, indicating inconsistent performance in different topics. Conclusion The results of the study indicate that ChatGPT is capable of answering both first- and second-order knowledge questions related to the subject of microbiology. The model achieved an accuracy of approximately 80% and there was no difference between the model's capability of answering first-order questions and second-order knowledge questions. The findings of this study suggest that ChatGPT has the potential to be an effective tool for automated question-answering in the field of microbiology. However, continued improvement in the training and development of language models is necessary to enhance their per...

Screening for carriage of CRE in stools of patients undergoing elective or emergency gastrointestinal surgical procedures, with haematological malignancies taking chemotherapy, or those planned for bone marrow transplantation can guide clinicians about gut colonisation of multidrug-resistant Enterobacteriaceae as these groups of patients are at risk of possible endogenous infection.

Chromoblastomycosis is a chronic fungal infection of the skin and subcutaneous tissue caused by dematiaceous fungi. We report a case of chromoblastomycosis caused by Fonsecaea pedrosoi from a subtropical region of India that developed over the left foot of a 45-year-old male farmer and was provisionally diagnosed as squamous cell carcinoma. The patient presented with irregular warty growths over the left foot, which had started one year previously, and has gradually progressed over a year to involve the lateral aspect of left leg. The diagnosis of chromoblastomycosis was confirmed by histopathology and fungal culture.

The present study was carried out in 208, 8-10 yr old male, rural, primary school children of Kashi Vidyapith Block, Varanasi. These children were examined for anthropometry, soft neurological signs and electroencephalographic pattern. It was found that the presence of soft neurological signs was related to the severity of malnutrition. The relationship between nutritional status and motor tasks showed that the performance in successive finger tapping, toe tapping, heel toe tapping, hand patting and alternating hand pronation supination in both hands while finger tapping with the right, was significantly affected. The EEG pattern in 16 children with soft neurological signs showed abnormalities in the form of slow and sharp waves, particularly in the frontal lobe, but also in the parietal and temporal lobes. The motor deficits were more marked on the contralateral side of the EEG abnormality.