ReviewDiagnostics (Basel, Switzerland)2024
Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities.
Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed.
- Targeting Amastigote and Trypomastigote Phases: Multi-Epitope Vaccine Strategy Against Trypanosoma cruzi.Biotechnology and applied biochemistry · 2026Article
- Electrochemical Biosensors for Circulating Tumor Cells and ctDNA: Emerging Strategies for Precision Oncology.Annals of biomedical engineering · 2026Review
- Portable Sensing Systems in Biological and Chemical Analyses: A Review of Sensor Technologies, Miniaturized Platforms, Data Processing, and Field Applications.Micromachines · 2026Review
- Article
- AI-nanotech synergies: recent advances in sustainable bio-manufacturing.World journal of microbiology & biotechnology · 2026Review
- High-Resolution Optical Chromatography: Principles, Innovations, and Emerging Biomedical Applications.Micromachines · 2026Review
- Recent advances in the biosensing platforms for sepsis diagnosis.RSC advances · 2026Review
- Recent Progress in Nanophotonics for Green Energy, Medicine, Healthcare, and Optical Computing Applications.Materials (Basel, Switzerland) · 2026Review
- Probing Biointerfaces with QCM‑D and Electrochemistry: Opportunities and Challenges toward Integrated EQCM‑D Biosensing.ACS measurement science au · 2026Review
- Biosensor-Integrated Microneedle Devices for Diagnosis and Treatment of Chronic and Infectious Diseases: Current Status, Trends and Challenges.Biosensors · 2026Review
- Biosensor Technologies for Avian Influenza Detection: A New Frontier in Rapid Diagnostics for HPAI.Biosensors · 2026Review
- The Role of Pharmacies in Providing Point-of-Care Services in the Era of Digital Health and Artificial Intelligence: An Updated Review of Technologies, Regulation and Socioeconomic Considerations.Healthcare (Basel, Switzerland) · 2026Review
- From Drops to Decisions: AI/ML-Driven Biofluidics for Clinical Diagnostics and Healthcare Intelligence.Analytical chemistry · 2026Review
- Improving Clinical Diagnostics and Patient Care through Artificial Intelligence and Biosensor Technologies.ACS omega · 2026Review
- Shaping the future of human biomonitoring (HBM): progress, strategy, and global vision from ISES Europe and the HBM Global Network.Environment international · 2026Article
- An overview of CRISPR-artificial intelligence theranostics: Current and emerging applications.Biomaterials translational · 2026Review
- Recent advances of in situ and in vivo electrochemical analysis of brain chemistry at micro- and nanoscale.QRB discovery · 2026Review
- Recent Advances and Unaddressed Challenges in Biomimetic Olfactory- and Taste-Based Biosensors: Moving Towards Integrated, AI-Powered, and Market-Ready Sensing Systems.Sensors (Basel, Switzerland) · 2025Review
- Integration of Artificial Intelligence in Biosensors for Enhanced Detection of Foodborne Pathogens.Biosensors · 2025Review
- Wearable biomolecular sensing nanotechnologies in chronic disease management.Nature nanotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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, and data processing frameworks that facilitate real-time analytical decision-making. We explore the applications of AI at each stage of the biosensor development process, highlighting the diverse opportunities beyond simple data analysis procedures. We include a thorough analysis of outstanding challenges in the field of AI-assisted biosensing, focusing on the technical and ethical challenges regarding the widespread adoption of these technologies, such as data security, algorithmic bias, and regulatory compliance. Through this review, we aim to emphasize the role of AI in advancing POC biosensing and inform researchers, clinicians, and policymakers about the potential of these technologies in reshaping global healthcare landscapes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.