the-modified-single-working-portal-technique-using-lasso-loop-stitch

The Modified Single-working Portal Technique Using Lasso-loop Stitch with Needle for Arthroscopic Subscapularis Repair

Traditional shoulder arthroscopy typically requires both anterior and posterior portals. However, in the traditional anterior portal, simultaneous ...

Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University)

ChatGPT is a natural language processing model developed by OpenAI, which can be iteratively updated and optimized to accommodate the changing and complex requirements of human verbal communication.

Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial.

Recent advancements in artificial intelligence (AI) like ChatGPT have expanded possibilities for patient education, yet its impact on perioperative anxiety in total knee arthroplasty (TKA) patients remains unexplored.

ChatGPT's role in alleviating anxiety in total knee arthroplasty consent process: a randomized controlled trial pilot study.

Given the increasing prevalence of generative AI (GenAI) models, a systematically evaluation of their performance in lung adenocarcinoma histopathological assessment is crucial. This study aimed to evaluate and compare three visual-capable GenAI models (GPT-4o, Claude-3.5-Sonnet, and Gemini-1.5-Pro) for lung adenocarcinoma histological pattern recognition and grading, as well as to explore prognostic prediction models based on GenAI feature extraction.

Evaluating generative AI models for explainable pathological feature extraction in lung adenocarcinoma grading assessment and prognostic model construction.

Computed Tomography (CT) is widely acknowledged as the gold standard for diagnosing thoracic diseases. However, the accuracy of interpretation significantly depends on radiologists' expertise. Large Language Models (LLMs) have shown considerable promise in various medical applications, particularly in radiology. This study aims to assess the performance of leading LLMs in analyzing unstructured chest CT reports and to examine how different questioning methodologies and fine-tuning strategies influence their effectiveness in enhancing chest CT diagnosis.

Performance analysis of large language models in multi-disease detection from chest computed tomography reports: a comparative study: Experimental Research.

Large language models (LLMs) are revolutionizing natural language processing, increasingly applied in clinical settings to enhance preoperative patient education.

Evaluating Large Language Models for Preoperative Patient Education in Superior Capsular Reconstruction: Comparative Study of Claude, GPT, and Gemini.

Large language models (LLMs), representing a breakthrough advancement in artificial intelligence, have demonstrated substantial application value and development potential in bioinformatics research, particularly showing significant progress in the processing and analysis of complex biological data. This comprehensive review systematically examines the development and applications of LLMs in bioinformatics, with particular emphasis on their advancements in protein and nucleic acid structure prediction, omics analysis, drug design and screening, and biomedical literature mining. This work highlights the distinctive capabilities of LLMs in end-to-end learning and knowledge transfer paradigms. Additionally, this paper thoroughly discusses the major challenges confronting LLMs in current applications, including key issues such as model interpretability and data bias. Furthermore, this review comprehensively explores the potential of LLMs in cross-modal learning and interdisciplinary development. In conclusion, this paper aims to systematically summarize the current research status of LLMs in bioinformatics, objectively evaluate their advantages and limitations, and provide insights and recommendations for future research directions, thereby positioning LLMs as essential tools in bioinformatics research and fostering innovative developments in the biomedical field.

Article	Year
Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial. Journal of medical Internet research\| PubMed ID: 39163598	2024
ChatGPT's role in alleviating anxiety in total knee arthroplasty consent process: a randomized controlled trial pilot study. International journal of surgery (London, England)\| PubMed ID: 39903546	2025
Evaluating generative AI models for explainable pathological feature extraction in lung adenocarcinoma grading assessment and prognostic model construction. International journal of surgery (London, England)\| PubMed ID: 40434749	2025
Performance analysis of large language models in multi-disease detection from chest computed tomography reports: a comparative study: Experimental Research. International journal of surgery (London, England)\| PubMed ID: 40497825	2025
Evaluating Large Language Models for Preoperative Patient Education in Superior Capsular Reconstruction: Comparative Study of Claude, GPT, and Gemini. JMIR perioperative medicine\| PubMed ID: 40505086	2025
Bridging artificial intelligence and biological sciences: a comprehensive review of large language models in bioinformatics. Briefings in bioinformatics\| PubMed ID: 40708223	2025

Wenyi Gan

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