Quality of the Information provided by ChatGPT for Patients in Breast Plastic Surgery: Are we already in the future?

Introduction: In recent years, artificial intelligence (AI) has gained popularity, even in the field of plastic surgery. It is increasingly common for patients to use the internet to gather information about plastic surgery, and AI-based chatbots, such as ChatGPT, could be employed to answer patients' questions.The aim of this study was to evaluate the quality of medical information provided by ChatGPT regarding three of the most common procedures in breast plastic surgery: breast reconstruction, breast reduction, and augmentation mammaplasty. Methods: The quality of information was evaluated through the expanded EQIP scale. Responses were collected from a pool made by ten resident doctors in plastic surgery and then processed by SPSS software ver. 28.0. Results: The analysis of the contents provided by ChatGPT revealed sufficient quality of information across all selected topics, with a high bias in terms of distribution of the score between the different items. There was a critical lack in the "Information data field" (0/6 score in all the 3 investigations) but a very high overall evaluation concerning the "Structure data" (>7/11 in all the 3 investigations). Conclusion: Currently, AI serves as a valuable tool for patients; however, engineers and developers must address certain critical issues. It is possible that models like ChatGPT will play an important role in improving patient's consciousness about medical procedures and surgical interventions in the future, but their role must be considered ancillary to that of surgeons.

Prothrombotic gene expression profile in vascular smooth muscle cells of human saphenous vein, but not internal mammary artery.

BACKGROUND: The resistance of internal mammary artery (IMA) toward thrombotic occlusion and accelerated atherosclerosis is not well understood. This study analyzed gene expression profiles of vascular smooth muscle cells (VSMCs) from IMA versus saphenous vein (SV). METHODS AND RESULTS: 54'675 probe sets were examined by Affymetrix microarrays. Thirty-one genes belonged to the coagulation system; 2 were differentially expressed, namely tissue factor (TF) and tissue-type plasminogen activator (tPA). TF was 3.1-fold lower in IMA than SV (P=0.006), whereas tPA was 9.0-fold higher (P<0.001). TF mRNA expression was lower in IMA than SV (P<0.05); tPA was higher (P<0.001). TF protein expression was 4.2+/-0.5-fold lower in IMA than SV (P<0.001); tPA was 2.6+/-0.4-fold higher (P<0.01). In IMA VSMC supernatant, TF protein and activity was lower (P<0.05), TFPI and tPA protein higher (P<0.05 and P<0.005), and clotting time of human plasma prolonged (P<0.05) as compared to SV. Migration to TF/FVIIa (10(-9) mol/L) was 3-fold lower in IMA than SV (P=0.01); PAR-2 protein expression was similar (P=NS), PAR-2 blockade without effect (P=NS). CONCLUSIONS: Among the genes of the coagulation system, TF and tPA are differentially expressed in VSMCs from IMA versus SV. This is consistent with protection of IMA from thrombus formation and vascular remodeling.

The nicotinic receptor beta 2 subunit is mutant in nocturnal frontal lobe epilepsy.

Clustered attacks of epileptic episodes originating from the frontal lobe during sleep are the main symptoms of autosomal dominant nocturnal frontal lobe epilepsy (ADNFLE, MIM 600513). Despite the clinical homogeneity, three forms of ADNFLE have been associated with chromosomes 20 (ENFL1; ref. 1), 15 (ENFL2; ref. 2) and 1 (ENFL3; ref. 3). Mutations of the gene encoding the neuronal nicotinic acetylcholine receptor alpha 4 subunit (CHRNA4 ) have been found in ADNFLE-ENFL1 families, but these mutations account for only a small proportion of ADNFLE cases. The newly identified locus associated with ENFL3 harbours several candidate genes, including CHRNB2 (ref. 8), whose gene product, the beta 2 nicotinic acetylcholine receptor (nAChR) subunit, co-assembles with the alpha 4 nAChR subunit to form the active receptor.