Latest AI and machine learning research in information technology for healthcare professionals.
Accurate imputation of missing laboratory values in electronic health records (EHRs) is critical t...
Current methods for searching brain MR images rely on text-based approaches, highlighting a signif...
The rapid integration of artificial intelligence (AI) in healthcare is revolutionizing medical dia...
Alzheimer’s disease (AD) is characterized by region- and patient-specific molecular heterogeneity, w...
The rapid advancement in single-cell, spatial omics, imaging, and genomic technologies requires robu...
Large-scale biobanks provide comprehensive electronic health records (EHRs) that capture detailed cl...
Curation of biological and paleontological datasets is a labor-intensive process that requires stand...
This paper introduces an innovative Electronic Health Record (EHR) foundation model that integrates ...
Behavioral datasets for invertebrate model organisms are rapidly expanding alongside automated imagi...
Leveraging machine learning on electronic health records offers a promising method for early identif...
To evaluate the validity of death ascertainment from publicly available internet media (IM) sources ...
Several clinical prediction models have been developed using electronic health records data to help ...
Electronic health record (EHR) data are a rich and invaluable source of real-world clinical informat...
This study evaluates the effectiveness of the Patient Report Template (PRT) in addressing inefficien...
Randomized clinical trials (RCTs) define evidence-based medicine, but quantifying their generalizabi...
Interoperability in health information systems is crucial for accurate data exchange across environm...
Recent advances in deep learning show significant potential in analyzing continuous monitoring elect...
Precision medicine requires accurate identification of clinically relevant patient subgroups. Electr...
To study and profile the digital assessment behaviors of surgical faculty and residents, and to buil...
To improve confounding control in healthcare database studies, data-driven algorithms may empiricall...
Pelvic pain (dysmenorrhea and non-menstrual) is the most common presentation of adolescent endometri...