Related Experiment Video
Updated: Jun 29, 2025
07:50
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
15.9K
A Bibliographic Dataset of Health Artificial Intelligence Research
Xuanyu Shi1,2, Daoxin Yin2,3, Yongmei Bai1,2
1Institute of Medical Technology, Peking University, Beijing, China.
Health Data Science
|April 8, 2024
Summary
This study created a comprehensive dataset of Health Artificial Intelligence (HAI) research, including publications and grants, to analyze trends. The curated data follows FAIR principles, offering a valuable resource for understanding HAI innovations.
Area of Science:
- Bibliometrics
- Health Informatics
- Artificial Intelligence in Healthcare
Background:
- Health Artificial Intelligence (HAI) research is rapidly expanding.
- A structured, comprehensive dataset is needed for landscape analysis.
- Existing data sources are fragmented, hindering holistic research assessment.
Purpose of the Study:
- To construct a curated bibliographic dataset for Health Artificial Intelligence (HAI) research landscape analysis.
- To integrate diverse HAI-related bibliographic records from multiple sources.
- To organize and curate HAI documents following FAIR principles.
Main Methods:
- Searched Medline and Dimensions for HAI-related publications, datasets, patents, grants, and clinical trials.
- Extracted and re-extracted MeSH terms for document annotation.
- Mapped documents using MeSH, FoR, ICD-10, and SNOMED CT for interoperability.
- Curated documents based on a pre-defined ontology of health problems and AI technologies.
Main Results:
- Collected 96,332 HAI documents from 2009-2021.
- Included publications (75,820), datasets (638), patents (11,226), grants (6,113), and clinical trials (2,535).
- Achieved high tagging rates for health problems or AI technologies (75.12% overall, 92.9% for publications).
Conclusions:
- Developed a comprehensive pipeline for processing and curating HAI bibliographic documents.
- The resulting dataset adheres to FAIR (Findable, Accessible, Interoperable, Reusable) standards.
- Provides a multidimensional resource for analyzing HAI funding, research, and innovation.
Related Concept Videos
01:29Issues And Trends In Healthcare Delivery System
5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
01:30Health Information Technology and Healthcare Information System
836
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
836
01:19Overview of Biostatistics in Health Sciences
384
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
384
01:30Data Collection I
6.2K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
6.2K
02:02Genomics
36.3K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.3K
01:19Purpose of Health Records II
966
Health records serve various essential purposes in the healthcare system. Here are some key purposes:
966