Clinical Research Directory

Impact of Pringle Maneuver on Postoperative Gallbladder Diseases After Hepatectomy

The liver is an organ with a rich blood supply. During liver surgery (hepatectomy), surgeons often temporarily clamp the blood vessels supplying the liver to maintain a clear surgical field and reduce bleeding. This common technique is known as the Pringle maneuver. However, this maneuver also temporarily cuts off the blood supply to the gallbladder. Currently, doctors debate whether to routinely remove a healthy gallbladder during liver surgery to prevent future gallbladder problems, or to preserve it. The primary purpose of this multicenter retrospective cohort study is to evaluate whether using the Pringle maneuver during liver surgery increases the risk of patients developing gallbladder diseases (such as gallstones or inflammation) later on. Researchers will review the past medical records of patients who underwent liver surgery with their gallbladder preserved between January 2012 and January 2022. By comparing patients who had the Pringle maneuver with those who did not, the study aims to provide reliable clinical evidence to help surgeons make better decisions about whether to preserve or remove the gallbladder during liver surgery.

Research on Construction and Verification of Multimodal Medical Imaging Large Model

With the accumulation of multimodal clinical data such as medical imaging and electronic health records (EHRs), efficient utilization of multi-source information to achieve precise diagnosis and intelligent decision-making has become a core direction of medical artificial intelligence (AI). Although traditional unimodal algorithms have yielded outcomes in specific tasks, their inability to model the semantic correlations among imaging, textual, and laboratory data leads to insufficient stability and limited interpretability of diagnostic results, making it difficult to meet the needs of comprehensive decision-making in complex clinical scenarios. In recent years, multimodal large models have demonstrated excellent cross-modal understanding and knowledge transfer capabilities in natural images and general vision-language tasks, providing a new paradigm for medical AI. However, direct application in medical scenarios still faces challenges: first, the medical semantic system differs significantly from general language models, hindering the accurate representation of disease characteristics and imaging details; second, the complex morphology of lesions and uneven sample distribution in medical data increase the difficulty of model generalization; third, clinical data involves privacy, so data security and ethical compliance serve as prerequisites for research. The research on medical multimodal large models aims to integrate multi-source heterogeneous medical data, establish a unified semantic representation and reasoning mechanism, and realize full-process intelligent analysis including disease identification and lesion localization. This approach can not only improve the efficiency and accuracy of clinical diagnosis but also provide clinicians with interpretable and traceable auxiliary decision support, boasting broad application prospects. Based on the hospital's clinical data resources and the research team's algorithmic foundation, this study intends to construct a multimodal large model system for medical imaging diagnosis, enabling closed-loop intelligent analysis from multimodal information fusion to diagnostic report generation. The research will strictly adhere to medical ethical standards, protect patients' right to information, right to privacy, and data security. Before the official launch of the project, ethical review must be passed, and relevant regulations shall be followed to ensure the unity of scientific research and ethics, laying a compliant foundation for subsequent clinical validation and promotion.

Seattle Spatial Transcriptomic Research in Inflammatory Bowel Disease Evaluation (STRIDE)

This is a prospective observational study collecting long-term clinical data and samples for research in pediatric inflammatory bowel disease (IBD) patients with gut inflammation and a control cohort of pediatric patients with disorders of the brain-gut interactions (DBGI) with no detectable gut inflammation.

Multicenter Prospective Cohort Study of Risk Factors for Gallbladder Cancer

This trial is a prospective study, the main purpose of the study is to investigate the association between benign gallbladder disease and gallbladder carcinoma; to explain the timing of intervention, intervention and early prevention of benign gallbladder disease; according to the national epidemiology of gallbladder cancer Center Clinical Research (unpublished), 2000 National Cholecystoma Clinical Epidemiology Report, and 2005 Clinical Analysis of 2379 Cases of Gallbladder Carcinoma in 17 Hospitals in Five Northwest Provinces, Pre-experimental data, using samples The volume estimation formula, α = 0.05, β = 0.1, plans to enroll 100,000 people.Half of participants is someone with Biliary benign disease，while the other half is healthy.