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 However, it struggled with personalized advice and sometimes provided incorrect or outdated references.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 .

Shear Behaviour and Calculation Methods of Bearing-Shear Connectors for Prefabricated Steel-Concrete Composite Beams.

The bearing-shear connector (B-SC) is a newly developed connector that exhibits excellent shear behaviour and is easy to process. However, research on the application of B-SCs as substitutes for grouped studs in prefabricated steel-concrete composite beams is rare, and systematically studying their shear behaviour is necessary. Thus, a refined numerical model was developed to study the shear behaviour of the B-SCs. The numerical model, validated by push-out tests, was conducted to analyse the stress of the B-SCs and concrete slab during loading and to explore the failure mechanism of B-SCs. Then, a parametric study was performed to identify the key factors influencing the shear behaviour of the B-SCs. The concrete strength, and the thickness and the tensile strength of the shear plate were found to significantly influence the shear behaviour of B-SCs. According to the experiments and numerical analysis, calculation formulae for the ultimate shear resistance and slip modulus were proposed.

ChatGPT in Colorectal Surgery: A Promising Tool or a Passing Fad?

Colorectal surgery is a specialized branch of surgery that involves the diagnosis and treatment of conditions affecting the colon, rectum, and anus. In the recent years, the use of artificial intelligence (AI) has gained considerable interest in various medical specialties, including surgery. Chatbot Generative Pre-Trained Transformer (ChatGPT), an AI-based chatbot developed by OpenAI, has shown great potential in improving the quality of healthcare delivery by providing accurate and timely information to both patients and healthcare professionals. In this paper, we investigate the potential application of ChatGPT in colorectal surgery. We also discuss the potential advantages and challenges associated with the implementation of ChatGPT in the surgical setting. Furthermore, we address the socio-ethical implications of utilizing ChatGPT in healthcare. This includes concerns over patient privacy, liability, and the potential impact on the doctor-patient relationship. Our findings suggest that ChatGPT has the potential to revolutionize the field of colorectal surgery by providing personalized and precise medical information, reducing errors and complications, and improving patient outcomes.

UCA1 promotes cell viability, proliferation and migration potential through UCA1/miR-204/CCND2 pathway in primary cystitis glandularis cells.

Cystitis glandularis (CG) is an unusual proliferative disorder of the urinary bladder. Increasing evidences demonstrated that long non-coding RNAs (lncRNAs) play important roles in a variety of cellular progresses. However, there are rarely reports about the role and underlying molecular mechanism of lncRNAs in CG. In this study, we firstly isolated the primary cells from the tissues of CG and adjacent normal tissues, and found that UCA1 was up-regulated in the primary CG cells (pCGs). Then, we showed that knock out of UCA1 reduced the cell viability, inhibited the cell proliferation and restrained the migration potential and overexpression of UCA1 promoted that in pCGs. Furthermore, we demonstrated that UCA1 played its role via sponging of the miR-204 in pCGs. In addition, we illustrated that miR-204 exerted its function via targeting CYCLIN D2 (CCND2) 3'UTR at mRNA level in pCGs. Ultimately, we revealed the role and regulation of UCA1/miR-204/CCND2 regulatory axis in pCGs. In summary, our study, for the first time, revealed the role and underlying mechanism of an lncRNA UCA1 in CG, providing a potential biomarker and therapeutic target for human CG.

Effects of probiotics on ghrelin and lungs in children with acute lung injury: A double-blind randomized, controlled trial.

AIM: To assess the effects of probiotics on serum ghrelin levels and protection for lungs in children with acute lung injury (ALI). METHODS: This study was performed as a double-blind, randomized, and controlled trial in a pediatric intensive care unit (PICU). The eligible children with ALI were assigned to either probiotic treatment or an identical placebo for 10 days. Serum ghrelin, SP-A(surfactant protein-A), TNF-α, and IL-6 concentrations were assessed at baseline and at the end of trial. Meanwhile, pulmonary function test and echocardiography were examined, then VPEF (volume to peak tidal expiratory flow), TPEF/TE (the ratio of time taken to reach peak expiratory flow to total expiratory time), MAP (mean arterial pressure), and PAP (pulmonary artery pressure) were recorded. RESULTS: Eighty participants fulfilled the study requirements with 40 children for each group. The groups were comparable in baseline characteristics. Serum SP-A, TNF-α, and IL-6 levels in the probiotic group were 212.6 ± 52.9 ng/mL, 401.9 ± 56.4 pg/mL, and 245.1 ± 55.1 pg/mL on day 10, respectively, significantly lower levels compared to the control group where the same parameters were 248.2 ± 57 ng/mL, 449.4 ± 60.1 pg/mL, and 308.3 ± 92.2 pg/mL (P < 0.01). However, ghrelin concentrations were elevated in the intervention group (P < 0.05). On measurement of pulmonary function, the probiotic group demonstrated a VPEF of 26.1 ± 4.2 mL and TPEF/TE of 29.1 ± 4.7%, which were higher than the control group (24.7 ± 4.3 mL and 26.9 ± 4.7%, respectively) (P < 0.05). MAP and PAP also improved in the probiotic group (P < 0.05). Furthermore, ghrelin, SP-A, TNF-α, IL-6, and PAP were negatively correlated. Positive correlations were found between ghrelin, TPEF/TE, and MAP. There were no probiotic-associated adverse events during the observation. CONCLUSION: Probiotics administrated to children with ALI alleviates the inflammation of lungs, improves pulmonary function and circulation by ghrelin.