Sir Run Run Shaw Hospital

Type

Healthcare

Country

China

CN

ROR

00ka6rp58

not unique to one org

OpenAlex

I2802390878

the anchor

Documents

94

through any edge

Papers

94

authorship edges

Awards made

Named as funder

Papers

Documents in the 44B Library with Sir Run Run Shaw Hospital on the authorship, newest first.

2026-07-09 · 1 authors here

Entering the era of photorealistic AI-generated medical images

2026-07-02 · 4 authors here

From knowledge to judgment: A three-year longitudinal analysis of artificial intelligence large language model performance on the Chinese national nurse licensing examination

2026-06-13 · 6 authors here

Application and exploration of digital pathology technology in standardized residency training

2026-06-08 · 9 authors here

Federated orthogonal learning for detection of liver lesions from multi-phase contrast-enhanced CT images

2026-05-08 · 6 authors here

Doctor Sun: a bilingual multimodal large language model for biomedical AI

2026-05-08 · 4 authors here

Barriers and Facilitators to Patient Acceptance of Artificial Intelligence in Health Care: Systematic Review

2026-05-08 · 8 authors here

Systematic evaluation of the DeepSeek large language model for clinical diagnostic reasoning

2026-05-02 · 7 authors here

Toward an AI-integrated nursing curriculum: A Kano model analysis of generative AI competency needs

2026-04-23 · 9 authors here

Understanding undergraduate nursing students’ learning journeys with artificial intelligence: a journey mapping study

2026-04-22 · 10 authors here

Contextualizing Public Sentiment Analysis of Sexual Violence on Chinese Social Media: A Mixed-Method Study

2026-04-07 · 8 authors here

Analogical Reasoning as a Doctor: A Foundation Model for Gastrointestinal Endoscopy Diagnosis

2026-04-01 · 10 authors here

Multidisciplinary expert evaluation of large language models on questions regarding bariatric surgery: a comparative analysis of ERNIE Bot 4.0, ChatGPT-4, Claude 3 Opus, and Gemini Pro

2026-03-14 · 5 authors here

Effectiveness of an artificial intelligence-assisted training program on cleaning competency among hospital environmental service staff

2026-03-10 · 9 authors here

Evaluating Large Language Models-Generated Health Education Materials for Discharged Patients with Diabetes: A Comparative Analysis

2026-01-31 · 13 authors here

Automatic clear cell renal cell carcinoma grading framework using histopathological images via artificial intelligence: a benchmarking study

2026-01-29 · 5 authors here

Enhancing Opaque-Box VLMs Attack With Prior Information Guide

2026-01-10 · 5 authors here

An enhanced privacy-preserving federated few-shot learning framework for respiratory disease diagnosis

2026-01-01 · 13 authors here

Large language models in emergency and critical care medicine: a comprehensive review of applications, challenges, and future directions

2026-01-01 · 9 authors here

A Multi-modal LLM-Knowledge Fusion Framework for Predicting Single-cell Genetic Perturbation Effects

2025-12-21 · 6 authors here

Evaluating the Challenges of LLMs in Real-world Medical Follow-up: A Comparative Study and An Optimized Framework

2025-11-26 · 10 authors here

HybridMoE: LoRA-Based LLMs Fine-Tune With Hybrid Mixture of Experts

2025-10-27 · 6 authors here

Evaluating the Effectiveness of Generative AI for the Creation of Patient Education Materials on Coronary Heart Disease: A Comparative Study

2025-10-17 · 7 authors here

A comparison of the performance of Chinese large language models and ChatGPT throughout the entire clinical workflow

2025-10-10 · 17 authors here

Development and validation of an artificial intelligence system for triple-negative breast cancer identification and prognosis prediction: a multicentre retrospective study

2025-08-25 · 5 authors here

Anatomy-aware transformer-based model for precise rectal cancer detection and localization in MRI scans

Showing 25 of 94 on record.

Funding

Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.

Who funds this work

Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.

© 2026 NYSGPTLast Updated: August 5, 2026