Nan Liu
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View article: SpNeigh: spatial neighborhood and differential expression analysis for high-resolution spatial transcriptomics
SpNeigh: spatial neighborhood and differential expression analysis for high-resolution spatial transcriptomics Open
Spatial transcriptomics technologies such as Xenium, MERFISH, and Visium HD enable high-resolution profiling of gene expression while preserving tissue architecture. However, most computational methods for spatial analysis do not explicitl…
View article: Gasless versus gas-inflated transaxillary endoscopic thyroidectomy for papillary thyroid carcinoma: a cohort study on surgical outcomes and learning curves
Gasless versus gas-inflated transaxillary endoscopic thyroidectomy for papillary thyroid carcinoma: a cohort study on surgical outcomes and learning curves Open
Background Conventional open thyroidectomy (COT) results in visible neck scarring. Transaxillary endoscopic thyroidectomy (TET) comprises gasless (suspension-assisted) and gas-inflated approaches, both of which offer superior scar concealm…
View article: A lightweight keypoint detection model-based method for strawberry recognition and picking point localization in multi-occlusion scenes
A lightweight keypoint detection model-based method for strawberry recognition and picking point localization in multi-occlusion scenes Open
View article: The Carbon Reduction Effect of AI Policy: Quasi-Experimental Evidence from China's National AI Innovation Pilot Zones
The Carbon Reduction Effect of AI Policy: Quasi-Experimental Evidence from China's National AI Innovation Pilot Zones Open
The global low-carbon transition necessitates innovative policy interventions. Using staggered difference-in-differences estimation on a panel of 282 Chinese cities (2010–2023), this study provides causal evidence that China's National AI …
View article: Author Correction: Mitochondria-associated condensates maintain mitochondrial homeostasis and promote lifespan
Author Correction: Mitochondria-associated condensates maintain mitochondrial homeostasis and promote lifespan Open
View article: Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value
Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value Open
For many real-world applications, understanding feature-outcome relationships is as crucial as achieving high predictive accuracy. While traditional neural networks excel at prediction, their black-box nature obscures underlying functional…
View article: How can artificial intelligence transform the training of medical students and physicians?
How can artificial intelligence transform the training of medical students and physicians? Open
Advances in artificial intelligence (AI), particularly generative AI, hold promise for transforming medical education and physician training in response to increasing health-care demands and shortages in the global health-care workforce. M…
View article: Challenges and Responses: A Comparison of Management Dilemmas and Development Strategies of Public Libraries in China and the United States in Serving Digitally Disadvantaged Groups
Challenges and Responses: A Comparison of Management Dilemmas and Development Strategies of Public Libraries in China and the United States in Serving Digitally Disadvantaged Groups Open
This paper focuses on the service management for digitally disadvantaged groups in Chinese and American public libraries. Utilizing a comparative analysis method, it explores the differences and dilemmas between the two countries in terms …
View article: <b><i>Challenges and Responses: A Comparison of Management Dilemmas and Development Strategies of Public Libraries in China and the United States in Serving Digitally Disadvantaged Groups</i></b>
<b><i>Challenges and Responses: A Comparison of Management Dilemmas and Development Strategies of Public Libraries in China and the United States in Serving Digitally Disadvantaged Groups</i></b> Open
This paper focuses on the service management for digitally disadvantaged groups in Chinese and American public libraries. Utilizing a comparative analysis method, it explores the differences and dilemmas between the two countries in terms …
View article: Characterization and Role of AP2/EREBP Genes with Decreasing Expression During Leaf Development in 84K Poplar
Characterization and Role of AP2/EREBP Genes with Decreasing Expression During Leaf Development in 84K Poplar Open
The 84K poplar (Populus alba × Populus glandulosa) is a fast-growing hybrid poplar that was introduced from South Korea by the Chinese Academy of Forestry in 1984. To gain deeper insight into the regulatory mechanisms of leaf development i…
View article: Development and evaluation of a lightweight large language model chatbot for medication enquiry
Development and evaluation of a lightweight large language model chatbot for medication enquiry Open
Large Language Models (LLMs) show promise in augmenting digital health applications. However, development and scaling of large models face computational constraints, data security concerns and limitations of internet accessibility in some …
View article: Ethnopharmacology, Geographic Distribution, Major Chemical Constituents, and Pharmacological Effects of the Traditional Chinese Medicinal Herb <i>Arnebia euchroma</i>
Ethnopharmacology, Geographic Distribution, Major Chemical Constituents, and Pharmacological Effects of the Traditional Chinese Medicinal Herb <i>Arnebia euchroma</i> Open
Zicao, a traditional Chinese herbal medicine documented since the Shennong Ben Cao Jing (Classic of the Divine Husbandman's Materia Medica) in the Eastern Han Dynasty, exhibits significant anti-inflammatory, antitumor, and antibacterial ac…
View article: FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction
FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction Open
View article: Reporting Guideline for Chatbot Health Advice Studies
Reporting Guideline for Chatbot Health Advice Studies Open
Importance The rise in chatbot health advice (CHA) studies is accompanied by heterogeneity in reporting standards, impacting their interpretability. Objective To provide reporting recommendations for studies evaluating the performance of g…
View article: Reporting guideline for chatbot health advice studies: the Chatbot Assessment Reporting Tool (CHART) statement
Reporting guideline for chatbot health advice studies: the Chatbot Assessment Reporting Tool (CHART) statement Open
The Chatbot Assessment Reporting Tool (CHART) is a reporting guideline developed to provide reporting recommendations for studies evaluating the performance of generative artificial intelligence (AI)-driven chatbots when summarizing clinic…
View article: Reporting guideline for Chatbot Health Advice studies: the CHART statement
Reporting guideline for Chatbot Health Advice studies: the CHART statement Open
The CHART checklist and corresponding methodological diagram were designed to support key stakeholders including clinicians, researchers, editors, peer reviewers, and readers in reporting, understanding, and interpreting the findings of CH…
View article: Practical Applications and Development Challenges of Artificial Intelligence in Finance
Practical Applications and Development Challenges of Artificial Intelligence in Finance Open
The financial industry has a strong demand for efficient and accurate data analysis and decision-making, and the application of artificial intelligence in it is becoming increasingly widespread. This article reviews the practical applicati…
View article: Artificial intelligence in clinical thrombosis and hemostasis: A review
Artificial intelligence in clinical thrombosis and hemostasis: A review Open
View article: BRD4 acts as a transcriptional repressor of RhoB to inhibit terminal erythropoiesis
BRD4 acts as a transcriptional repressor of RhoB to inhibit terminal erythropoiesis Open
View article: A scoping review and evidence gap analysis of clinical AI fairness
A scoping review and evidence gap analysis of clinical AI fairness Open
The ethical integration of artificial intelligence (AI) in healthcare necessitates addressing fairness. AI fairness involves mitigating biases in AI and leveraging AI to promote equity. Despite advancements, significant disconnects persist…
View article: Advancing ethical AI in healthcare through interpretability
Advancing ethical AI in healthcare through interpretability Open
Interpretability is essential for building trust in health artificial intelligence (AI), but ensuring trustworthiness requires addressing broader ethical concerns, such as fairness, privacy, and reliability. This opinion article discusses …
View article: Evolution of surrounding rock distortion energy during closely spaced coal seam mining and innovative coal pillar design method
Evolution of surrounding rock distortion energy during closely spaced coal seam mining and innovative coal pillar design method Open
This article innovatively examines the selection of the optimal width of the upper coal pillar during the mining of closely spaced coal seams geological conditions based on the engineering failure analysis of stress deviator (distortion en…
View article: Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance Open
Ensuring fairness is critical when applying artificial intelligence to high-stakes domains such as healthcare, where predictive models trained on imbalanced and demographically skewed data risk exacerbating existing disparities. Federated …
View article: Leveraging AI and Transfer Learning to Enhance Outcome Prediction for Out-of-Hospital Cardiac Arrest in Diverse Settings: Insights from the Pan-Asian Resuscitation Outcomes Study
Leveraging AI and Transfer Learning to Enhance Outcome Prediction for Out-of-Hospital Cardiac Arrest in Diverse Settings: Insights from the Pan-Asian Resuscitation Outcomes Study Open
Background Access to trustworthy artificial intelligence (AI) models for clinical applications like emergency care is unevenly distributed globally due to healthcare inequities. Low-resource settings face challenges in AI model development…
View article: Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study
Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study Open
Background Artificial intelligence (AI) holds potential to enhance health systems worldwide. However, its implementation in health systems in Southeast Asia (SEA)—a region of diverse geopolitical and socioeconomic development—has been unde…
View article: Large Language Models in Randomized Controlled Trials Design: Observational Study
Large Language Models in Randomized Controlled Trials Design: Observational Study Open
Background Randomized controlled trials (RCTs) face challenges such as limited generalizability, insufficient recruitment diversity, and high failure rates, often due to restrictive eligibility criteria and inefficient patient selection. L…
View article: seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness
seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness Open
Fairness in artificial intelligence (AI) prediction models is increasingly emphasized to support responsible adoption in high-stakes domains such as health care and criminal justice. Guidelines and implementation frameworks highlight the i…
View article: Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness
Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness Open
View article: Establishment of a predictive model for violent behavior among outpatient patients in psychiatric hospitals
Establishment of a predictive model for violent behavior among outpatient patients in psychiatric hospitals Open
Background To investigate the factors influencing the violent behavior of outpatients with mental illness and establish a nomogram prediction model with Rstudio statistical software.Methods Patients who visited the Outpatient Department of…
View article: A scoping review on generative AI and large language models in mitigating medication related harm
A scoping review on generative AI and large language models in mitigating medication related harm Open
Medication-related harm has a significant impact on global healthcare costs and patient outcomes. Generative artificial intelligence (GenAI) and large language models (LLM) have emerged as a promising tool in mitigating risks of medication…