articleDiagnosticsMay 25, 2024GOLD OA

Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities

CDConnor D. FlynnDCDingran Chang

Northwestern University · McCormick (United States)

PubMed
Indexed incrossrefdoajpubmed

Abstract

The integration of artificial intelligence (AI) into point-of-care (POC) biosensing has the potential to revolutionize diagnostic methodologies by offering rapid, accurate, and accessible health assessment directly at the patient level. This review paper explores the transformative impact of AI technologies on POC biosensing, emphasizing recent computational advancements, ongoing challenges, and future prospects in the field. We provide an overview of core biosensing technologies and their use at the POC, highlighting ongoing issues and challenges that may be solved with AI. We follow with an overview of AI methodologies that can be applied to biosensing, including machine learning algorithms, neural networks,…

Citation impact

124
total citations
FWCI
20.71
Percentile
100%
References
185
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Computer science
  • Biosensor
  • Field (mathematics)
  • Health care
  • Transformative learning
  • Nanotechnology
  • Artificial intelligence
  • Data science
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
No related works found for this paper.

Funding