Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Machine learning-enabled label-free SERS for microbial sensing: Toward robust, generalizable, and deployable workflows.

Talanta·2026

Same author

Hyperuricemia as a Biomarker for Circadian Syndrome: A Cross-Sectional Study.

Clocks & sleep·2026

Same author

Diagnostic yield of long-read sequencing for rare diseases: a systematic review.

Frontiers in genetics·2026

Same author

Low Panton-Valentine leukocidin prevalence in circulating community MRSA: a genomic surveillance study in Qatar.

BMC infectious diseases·2026

Same author

Medical laboratory science course performance and grade point average as indicators of ASCP certification success: a 10-year review from an NAACLS-accredited program.

Laboratory medicine·2026

Same author

Development of 1-(substituted benzofuran-2-yl)-3-(halogen-substituted phenyl)prop-2-en-1-ones as potent, reversible, and selective MAO-B inhibitors for Parkinson's Disease.

Scientific reports·2026

Search research articles

Related Experiment Video

Updated: Apr 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Artificial Intelligence in Biomedical Sciences: A Scoping Review.

Rasha Abu-El-Ruz¹, Ali Hasan², Dima Hijazi³

¹Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.

British Journal of Biomedical Science

|August 21, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) in biomedical sciences is rapidly growing but lacks comprehensive characterization. This review synthesizes AI

Keywords:

NAACLS artificial intelligence biomedical sciences clinical scoping review

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Related Experiment Videos

Last Updated: Apr 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Biomedical Sciences
Artificial Intelligence
Healthcare Technology

Background:

Artificial intelligence (AI) is increasingly integrated into healthcare for diagnosis, treatment, monitoring, and disease prevention.
Despite widespread use, AI's characteristics within biomedical sciences remain underexplored.

Purpose of the Study:

To conduct a scoping review exploring the characteristics of AI in biomedical sciences.
To synthesize findings across six scopes and understand AI's relevance to biomedical education.

Main Methods:

Utilized Arksey and O'Malley frameworks for the scoping review.
Searched PubMed, Embase, and Web of Science databases without restrictions.
Extracted and synthesized data from 192 included articles.

Main Results:

AI publications in biomedical sciences show a steady increase, predominantly from high-income countries like the USA.
Machine learning is the most common AI model, with microbiology being the most associated discipline.
A significant gap exists in research on AI in biomedical sciences education, with only six studies identified.

Conclusions:

AI in biomedical sciences is undercharacterized due to variations in models, disciplines, and application perspectives.
Opportunities include enhanced efficiency and accuracy, while limitations involve model complexity and robustness.