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Artificial intelligence in pediatric surgery
AY Tsai, SR Carter, AC Greene - Seminars in pediatric surgery, 2024 - Elsevier
Artificial intelligence (AI) is rapidly changing the landscape of medicine and is already being
utilized in conjunction with medical diagnostics and imaging analysis. We hereby explore AI …
utilized in conjunction with medical diagnostics and imaging analysis. We hereby explore AI …
Efficient evidence selection for systematic reviews in traditional Chinese medicine
Y Li, Z Huang, Z Luan, S Xu, Y Zhang, L Wu… - BMC Medical Research …, 2025 - Springer
Purpose The process of searching for and selecting clinical evidence for systematic reviews
(SRs) or clinical guidelines is essential for researchers in Traditional Chinese medicine …
(SRs) or clinical guidelines is essential for researchers in Traditional Chinese medicine …
Automated information extraction model enhancing traditional Chinese Medicine RCT evidence extraction (Evi-BERT): Algorithm Development and Validation
Background In the field of evidence-based medicine, randomized controlled trials (RCTs)
are of critical importance for writing clinical guidelines and providing guidance to practicing …
are of critical importance for writing clinical guidelines and providing guidance to practicing …
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness
Evidence-based medicine promises to improve the quality of healthcare by empowering
medical decisions and practices with the best available evidence. The rapid growth of …
medical decisions and practices with the best available evidence. The rapid growth of …
Constructing a finer-grained representation of clinical trial results from ClinicalTrials. gov
X Shi, J Du - Scientific Data, 2024 - nature.com
Randomized controlled trials are essential for evaluating clinical interventions; however,
selective reporting and publication bias in medical journals have undermined the integrity of …
selective reporting and publication bias in medical journals have undermined the integrity of …
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness
G Zhang, Q **, DJ McInerney, Y Chen, F Wang… - ar** PICO entities from randomized controlled trial publications
Abstract Objectives Extracting PICO (Populations, Interventions, Comparison, and
Outcomes) entities is fundamental to evidence retrieval. We present a novel method, PICOX …
Outcomes) entities is fundamental to evidence retrieval. We present a novel method, PICOX …
Constructing a finer-grained representation of clinical trial results from ClinicalTrials. gov
X Shi, J Du - medRxiv, 2023 - medrxiv.org
Randomized controlled trials are essential for evaluating clinical interventions. ClinicalTrials.
gov serves as a primary repository for such data, yet extracting and synthesizing information …
gov serves as a primary repository for such data, yet extracting and synthesizing information …
A Transformer-Based Pipeline for German Clinical Document De-Identification
K Arzideh, G Baldini, P Winnekens… - Applied Clinical …, 2025 - thieme-connect.com
Objective Commercially available large language models such as Chat Generative Pre-
Trained Transformer (ChatGPT) cannot be applied to real patient data for data protection …
Trained Transformer (ChatGPT) cannot be applied to real patient data for data protection …
A Large Language Model Approach to Extracting Causal Evidence across Study Designs for Evidence Triangulation
X Shi, W Zhao, T Chen, C Yang, J Du - medRxiv, 2024 - medrxiv.org
Health strategies increasingly emphasize both behavioral and biomedical interventions, yet
the complex and often contradictory guidance on diet, behavior, and health outcomes …
the complex and often contradictory guidance on diet, behavior, and health outcomes …