Publications

2026

Artificial Intelligence-Empowered Multimodal Learning in Psychiatry: A Scoping Review
Li F, Li P, Bhandarkar A, Huo N, Raja K, Hong N, Kumar R, Altalib H, Lu Y, Wang T, Lei Y, Jin K, Li H, Cao W, Oesterle T, Chen Y, Tao C, Xu H. Artificial Intelligence-Empowered Multimodal Learning in Psychiatry: A Scoping Review. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2026 PMID: 41921663, DOI: 10.1016/j.bpsc.2026.03.013.
Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
Concepts
A birth certificate for data to improve findability, accountability, and traceability
Li R, Das A, Yang Y, Li Z, Hong N, Xu H, Martone M, Zheng W. A birth certificate for data to improve findability, accountability, and traceability. NAR Genomics And Bioinformatics 2026, 8: lqag037. PMID: 41972008, PMCID: PMC13069677, DOI: 10.1093/nargab/lqag037.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
GLP-1 Receptor Agonist Prescriptions for Adolescents With Obesity and Associated Disparities
Kim C, Sharifi M, Ross J, Chen Y, Xu H, Krumholz H, Lu Y. GLP-1 Receptor Agonist Prescriptions for Adolescents With Obesity and Associated Disparities. JAMA Pediatrics 2026, 180: 334-336. PMID: 41557442, PMCID: PMC12820773, DOI: 10.1001/jamapediatrics.2025.5708.
Peer-Reviewed Original Research
Concepts
Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale
Cheng A, Konova A, Powers A, Corlett P, Levy I, Gu X, Huys Q, Pushkarskya H, Fineberg S, Hauser T, Bzdok D, Harpaz-Rotem I, Babuscio T, Nichols L, Zhao Y, Sharma M, Meeker D, Xu H, Rutledge R, Pearlson G, Pittenger C, Yip S. Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2026 PMID: 41763489, DOI: 10.1016/j.bpsc.2026.02.009.
Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
Concepts
A suite of large language models for public health infoveillance
Zhou X, Zhou J, Wang C, Xie Q, Ding K, Mao C, Liu Y, Cao Z, Chu H, Chen X, Xu H, Larson H, Luo Y. A suite of large language models for public health infoveillance. Npj Digital Medicine 2026, 9: 270. PMID: 41731011, PMCID: PMC13039744, DOI: 10.1038/s41746-026-02435-6.
Peer-Reviewed Original Research
Concepts
CancerLLM: a large language model in cancer domain
Li M, Zhan Z, Huang J, Yeung J, Ding K, Blaes A, Johnson S, Liu H, Xu H, Zhang R. CancerLLM: a large language model in cancer domain. Npj Digital Medicine 2026, 9: 266. PMID: 41720895, PMCID: PMC13036061, DOI: 10.1038/s41746-026-02441-8.
Peer-Reviewed Original Research
Concepts
Leveraging multi-modal foundation models for analysing spatial multi-omic and histopathology data
Liu T, Huang T, Ding T, Wu H, Humphrey P, Perincheri S, Schalper K, Ying R, Xu H, Zou J, Mahmood F, Zhao H. Leveraging multi-modal foundation models for analysing spatial multi-omic and histopathology data. Nature Biomedical Engineering 2026, 1-18. PMID: 41644824, DOI: 10.1038/s41551-025-01602-6.
Peer-Reviewed Original Research
This study presents spEMO, an AI framework integrating histopathology images and spatial multi-omics data to improve biological discovery, disease prediction, and medical reporting.
Full Summary
Information extraction from clinical notes: are we ready to switch to large language models?
Hu Y, Zuo X, Zhou Y, Peng X, Huang J, Keloth V, Zhang V, Weng R, Shyr C, Chen Q, Jiang X, Roberts K, Xu H. Information extraction from clinical notes: are we ready to switch to large language models? Journal Of The American Medical Informatics Association 2026, 33: 553-562. PMID: 41533750, PMCID: PMC12981642, DOI: 10.1093/jamia/ocaf213.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
Extraction of Treatments and Responses From Non–Small Cell Lung Cancer Clinical Notes Using Natural Language Processing
Sivarajkumar S, Edupuganti S, Lazris D, Bhattacharya M, Davis M, Dressman D, Thomas R, Hu Y, Ren Y, Xu H, Yang P, Huang Y, Wang Y. Extraction of Treatments and Responses From Non–Small Cell Lung Cancer Clinical Notes Using Natural Language Processing. JCO Clinical Cancer Informatics 2026, 10: e2500138. PMID: 41505664, PMCID: PMC12788794, DOI: 10.1200/cci-25-00138.
Peer-Reviewed Original Research
MeSH Keywords and Concepts

2025

See All Publications

Publications

2026

Artificial Intelligence-Empowered Multimodal Learning in Psychiatry: A Scoping Review

A birth certificate for data to improve findability, accountability, and traceability

GLP-1 Receptor Agonist Prescriptions for Adolescents With Obesity and Associated Disparities

Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale

A suite of large language models for public health infoveillance

CancerLLM: a large language model in cancer domain

Leveraging multi-modal foundation models for analysing spatial multi-omic and histopathology data

Information extraction from clinical notes: are we ready to switch to large language models?

Extraction of Treatments and Responses From Non–Small Cell Lung Cancer Clinical Notes Using Natural Language Processing

2025

TopicForest: embedding-driven hierarchical clustering and labeling for biomedical literature

SemNovel – A new approach to detecting semantic novelty of biomedical publications using embeddings of large language models

A Novel Approach to Bone Fracture Detection: Analyzing the Potential of ReXNet150

AcuKG: a comprehensive knowledge graph for medical acupuncture

Mitigating Ethical Issues for Large Language Models in Oncology: A Systematic Review

Extracting language information from clinical notes using large language models

INSIGHTFUL: insight generation through clinical annotation, analysis and modelling of suicide-related factors towards understanding and lifesaving

Incorporating preprints in systematic reviews: a preliminary study of a novel method for rapid evidence synthesis

Scientific Writing in the Era of Large Language Models: A Computational Analysis of AI- Versus Human-Created Content

A4SLR: An Agentic Artificial Intelligence-Assisted Systematic Literature Review Framework to Augment Evidence Synthesis for Health Economics and Outcomes Research and Health Technology Assessment

Clinical Trial Eligibility Criteria Decomposition and Parsing with Large Language Models.

PheCatcher: Leveraging LLM-Generated Synthetic Data for Automated Phenotype Definition Extraction from Biomedical Literature.

Accuracy of Large Language Models in Generating Rare Disease Differential Diagnosis Using Key Clinical Features.

LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs

MapExplorer : New Content Generation from Low-Dimensional Visualizations

Changes in Cardiovascular Risk Factors and Health Care Expenditures Among Patients Prescribed Semaglutide