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Background: Educational initiatives on Helicobacter pylori (H. pylori) constitute a highly effective approach for preventing its infection and establishing standardized protocols for its eradication. ChatGPT, a large language model, is a potentially patient‐friendly online tool capable of providing health‐related knowledge. This study aims to assess the accuracy and repeatability of ChatGPT in responding to questions related to H. pylori. Materials and Methods: Twenty‐one common questions about H. pylori were collected and categorized into four domains: basic knowledge, diagnosis, treatment, and prevention. ChatGPT was utilized to individually answer the aforementioned 21 questions. Its responses were independently assessed by two experts on H. pylori. Questions with divergent ratings were resolved by a third reviewer. Cohen's kappa coefficient was calculated to assess the consistency between the scores of the two reviewers. Results: The responses of ChatGPT on H. pylori‐related questions were generally satisfactory, with 61.9% marked as "completely correct" and 33.33% as "correct but inadequate." The repeatability of the responses of ChatGPT to H. pylori‐related questions was 95.23%. Among the responses, those related to prevention (comprehensive: 75%) had the best response, followed by those on treatment (comprehensive: 66.7%), basic knowledge (comprehensive: 60%), and diagnosis (comprehensive: 50%). In the "treatment" domain, 16.6% of the ChatGPT responses were categorized as "mixed with correct or incorrect/outdated data." However, ChatGPT still lacks relevant knowledge regarding H. pylori resistance and the use of sensitive antibiotics. Conclusions: ChatGPT can provide correct answers to the majority of H. pylori‐related queries. It exhibited good reproducibility and delivered responses that were easily comprehensible to patients. Further enhancement of real‐time information updates and correction of inaccurate information will make ChatGPT an essential auxiliary tool for providing accurate H. pylori‐related health information to patients. [ABSTRACT FROM AUTHOR]

Multifunctional nanomaterials for cancer therapy has attracted researchers' attention for decades. In this study, a unique oxidative method using KMnO4 or K2MnO4 as oxidizing agents to oxidize dopamine (DA) to polydopamine (PDA) was reported. The oxidizing agent was reduced to MnOx to form MnOx/PDA composite NPs. Afterwards, the MnOx/PDA composite NPs were surface‐modified with bovine serum albumin (BSA) to form a multifunctional theranostic agent, named MnOx/PDA@BSA NPs, with improved colloidal stability and biocompatibility. Such a material would become a photothermal nanoagent, since the PDA renders the composite NPs an admirable photothermal transforming ability with the photothermal conversion efficiency of 27.06%. Meanwhile, as a commonly used T1 contrast agent, manganese (Mn2+) endowed the MnOx/PDA@BSA NPs with MRI ability, rendering the as‐synthesized MnOx/PDA composite NPs a capability of imaging guided multi‐modal tumor therapy. Moreover, the formed MnOx/PDA@BSA NPs were used for drug loading, which was found to own the tunable drug loading and controlled drug releasing capacity. The as‐prepared composite NPs were successfully used for the combined tumor chemotherapy and photothermal therapy in vitro and in vivo. This research provides insights into the development of conjugated polymer‐based nanomaterial for various biomedical applications, especially in imaging guided cancer therapy. [ABSTRACT FROM AUTHOR]