Exploring the Potential of ChatGPT-4 in Responding to Common Questions About Abdominoplasty: An AI-Based Case Study of a Plastic Surgery Consultation.

BACKGROUND: With the increasing integration of artificial intelligence (AI) in health care, AI chatbots like ChatGPT-4 are being used to deliver health information. OBJECTIVES: This study aimed to assess the capability of ChatGPT-4 in answering common questions related to abdominoplasty, evaluating its potential as an adjunctive tool in patient education and preoperative consultation. METHODS: A variety of common questions about abdominoplasty were submitted to ChatGPT-4. These questions were sourced from a question list provided by the American Society of Plastic Surgery to ensure their relevance and comprehensiveness. An experienced plastic surgeon meticulously evaluated the responses generated by ChatGPT-4 in terms of informational depth, response articulation, and competency to determine the proficiency of the AI in providing patient-centered information. RESULTS: The study showed that ChatGPT-4 can give clear answers, making it useful for answering common queries. However, it struggled with personalized advice and sometimes provided incorrect or outdated references. Overall, ChatGPT-4 can effectively share abdominoplasty information, which may help patients better understand the procedure. Despite these positive findings, the AI needs more refinement, especially in providing personalized and accurate information, to fully meet patient education needs in plastic surgery. CONCLUSIONS: Although ChatGPT-4 shows promise as a resource for patient education, continuous improvements and rigorous checks are essential for its beneficial integration into healthcare settings. The study emphasizes the need for further research, particularly focused on improving the personalization and accuracy of AI responses. LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

TDASD: Generating medically significant fine-grained lung adenocarcinoma nodule CT images based on stable diffusion models with limited sample size.

BACKGROUND AND OBJECTIVES: Spread through air spaces (STAS) is an emerging lung cancer infiltration pattern. Predicting its spread through CT scans is crucial. However, limited STAS data makes this prediction task highly challenging. Stable diffusion is capable of generating more diverse and higher-quality images compared to traditional GAN models, surpassing the dominating GAN family models in image synthesis over the past few years. To alleviate the issue of limited STAS data, we propose a method TDASD based on stable diffusion, which is able to generate high-resolution CT images of pulmonary nodules corresponding to specific nodular signs according to the medical professionals. METHODS: First, we apply the stable diffusion method for fine-tuning training on publicly available lung datasets. Subsequently, we extract nodules from our hospital's lung adenocarcinoma data and apply slight rotations to the original nodule CT slices within a reasonable range before undergoing another round of fine-tuning through stable diffusion. Finally, employing DDIM and Ksample sampling methods, we generate lung adenocarcinoma nodule CT images with signs based on prompts provided by doctors. The method we propose not only safeguards patient privacy but also enhances the diversity of medical images under limited data conditions. Furthermore, our approach to generating medical images incorporates medical knowledge, resulting in images that exhibit pertinent medical features, thus holding significant value in tumor discrimination diagnostics. RESULTS: Our TDASD method has the capability to generate medically meaningful images by optimizing input prompts based on medical descriptions provided by experts. The images generated by our method can improve the model's classification accuracy. Furthermore, Utilizing solely the data generated by our method for model training, the test results on the original real dataset reveal an accuracy rate that closely aligns with the testing accuracy achieved through training on real data. CONCLUSIONS: The method we propose not only safeguards patient privacy but also enhances the diversity of medical images under limited data conditions. Furthermore, our approach to generating medical images incorporates medical knowledge, resulting in images that exhibit pertinent medical features, thus holding significant value in tumor discrimination diagnostics.

Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study.

Background: The media play an important role in health promotion and disease prevention, while at the same time, a variety of mixed health messages in the media are beginning to pose new challenges to them. However, there is a lack of media health literacy (MHL) assessment tools in China. Therefore, the purpose of this study was to translate the Media Health Literacy (MeHLit) questionnaire into Chinese and to assess its psychometric properties. Methods: This cross-sectional study was conducted from October to December 2022, and a methodological study of the translation and validation of the MeHLit questionnaire was conducted. Results: As a result of an extensive translation and cultural adaptation process, the final MeHLit questionnaire was developed, which includes five dimensions and 21 items. Cronbach's α value of the questionnaire was 0.859, and Cronbach's α value of the dimensions ranged from 0.776 to 0.911, which is fairly good. As a result, the test-retest reliability coefficient and the split-half reliability coefficient of the questionnaire are both equal to 0.907. Its content validity index was 0.946, suggesting a reasonable level of content validity. Through exploratory factor analysis, a five-factor structure was identified based on the eigenvalues, total variance explained, and scree plot. As a result of the validation factor analysis, all recommended fit indicators were appropriate. Conclusion: The Chinese version of the MeHLit questionnaire has been successfully introduced in China. It has shown good psychometric properties among the Chinese public and can be used as a tool to evaluate MHL in health screening.

Characterization of hollow hydroxyapatite/copper microspheres prepared from the reduction of copper-modified hydroxyapatite by glucose.

This study employed a co-precipitation method to synthesize copper-modified hydroxyapatite (HA) powders, where Cu(2+) ions had entered the structure of HA and occupied Ca(1) sites in the columns parallel to the c-axis. Through a hydrothermal treatment, hollow HA/copper (Cu(2)O and/or Cu) microspheres with core-shell structures were prepared in solutions containing glucose, sodium carbonate and sodium citrate. When prolonging the reduction time, Cu(2+) ions dissolved from copper-modified HA were reduced by glucose initially to Cu(+) ions and then to Cu atoms, which would precipitate as copper on the surface of HA. The formation of microspheres with hollow structures was explained by the Kirkendall effect which states that diffusion behaviors of ions were different for HA and copper precipitations. Hybrid HA/copper powders might find their applications in gas sensors, catalysts, electrodes and so on.

Benzo[a]pyrene might be transported by a TonB-dependent transporter in Novosphingobium pentaromativorans US6-1.

Sphingomonads are well known for their ability to efficiently degrade polycyclic aromatic hydrocarbons (PAHs), but little is known about the mechanism of PAH uptake and transport across the cell membrane. RNA sequencing analysis of a sphingomonad, Novosphingobium pentaromativorans US6-1 showed that 38 TonB-dependent transporter (TBDT) genes were significantly upregulated under 5-ring PAH-benzo[a]pyrene (BaP) stress. In order to reveal whether TBDTs are involved in uptake and transport BaP in US6-1, the key TBDT genes were deleted to generate mutants. The results showed that the growth status of these mutants was not different from that of the wild-type strains, but the PAH degradation ability decreased, especially for the mutant strain Δtbdt-11, which did not encode the tbdt-11 gene. Meanwhile, the cell surface hydrophobicity (CSH) of Δtbdt-11 was found to be significantly lower than that of the wild-type strain under BaP stress. Furthermore, the transcriptional activity of genes encoding PAH degradative enzymes was found to be greatly reduced in Δtbdt-11. Confocal microscopy observations showed that US6-1 could transport BaP across the outer membrane, but this transport capacity was significantly reduced in Δtbdt-11 and wild-type US6-1 treated with PMF uncoupler, further confirming that the tbdt-11 gene was associated with PAH active transport.

Finding novel chemoreceptors that specifically sense and trigger chemotaxis toward polycyclic aromatic hydrocarbons in Novosphingobium pentaromativorans US6-1.

Bacterial chemotaxis can improve the efficiency of aromatic compound degradation, however, knowledge of how bacteria sense high-molecular-weight polycyclic aromatic hydrocarbons (HMW-PAHs), is limited. Here, the chemotactic responses of Novosphingobium pentaromativorans US6-1 to 9 aromatic compounds were investigated. The results showed that US6-1 chemotactically responded to phenanthrene (PHE), pyrene (PYR), benzo[a]pyrene (BaP) and their six metabolites. Six methyl-accepting chemotaxis proteins (MCPs) were annotated from US6-1 genome, four of which contained putative ligand-binding domains (LBDs). To confirm whether these four MCPs were involved in triggering chemotaxis toward PAHs, the MCP mutants were constructed. Observations showed a loss of the chemotactic responses to benzoate, phthalate, PHE and BaP only in the mutant ∆mcp03030. Surface plasmon resonance (SPR) assays further confirmed that MCP03030LBD specifically bound phthalate, PHE, PYR and BaP, while MCP18870LBD bound only PYR. The mutant ∆mcp03030-∆mcp18870 was then constructed and was shown to have lost the chemotactic response to 5 aromatic compounds. Combined with the effects of outer membrane transporter deletion on chemotaxis and MCP deletion on the PAH degradation, our study demonstrated that the chemoreceptors MCP03030 and MCP18870 can recognize PAHs and their metabolites in the periplasm, triggering metabolism-dependent and metabolism-independent chemotaxis, and be linked with HMW-PAH biodegradation.