ReviewFrontiers in bioengineering and biotechnology2024
Application of micro/nanorobot in medicine.
Review in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Selective Class-Aware Refinement (SCAR) Method for Microrobot Detection in Ultrasound Images.Sensors (Basel, Switzerland) · 2026Article
- Micro/Nanorobots (MNRs) at the Intersection of Mechanobiology and Artificial Intelligence: An Emerging Frontier for Precision Nanomedicine.ACS nano medicine · 2026Review
- Next-generation biomedical nanorobots: active design, intelligent control, and translational opportunities in regenerative and minimally invasive medicine.Journal of nanobiotechnology · 2026Review
- Smart microdevices for biomedical drug delivery: endogenous stimuli as the key to safer therapeutics.RSC advances · 2026Review
- Advancements and challenges of nanorobots in surgical medicine: design, applications, and interdisciplinary integration.Frontiers in bioengineering and biotechnology · 2026Review
- Micro/nanorobotics for sepsis diagnosis and therapy: a frontier in precision medicine.Theranostics · 2026Review
- Theranostic Applications of Microrobots: Integrating Diagnostics and Precision Drug Delivery.Current drug discovery technologies · 2026Review
- AI-Integrated Micro/Nanorobots for Biomedical Applications: Recent Advances in Design, Fabrication, and Functions.Biosensors · 2025Review
- Application of the adaptive sparrow search algorithm in medical supply engineering.Scientific reports · 2025Article
- Treatment of lung diseasesMaterials today. Bio · 2025Review
- Advancements in Micro/Nanorobots in Medicine: Design, Actuation, and Transformative Application.ACS omega · 2025Review
- Nano bio-robots: a new frontier in targeted therapeutic delivery.Frontiers in robotics and AI · 2025Review
- Micro/Nanorobotics in In Vitro Fertilization: A Paradigm Shift in Assisted Reproductive Technologies.Micromachines · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of micro/nanorobots and their application in medical treatment holds the promise of revolutionizing disease diagnosis and treatment. In comparison to conventional diagnostic and treatment methods, micro/nanorobots exhibit immense potential due to their small size and the ability to penetrate deep tissues. However, the transition of this technology from the laboratory to clinical applications presents significant challenges. This paper provides a comprehensive review of the research progress in micro/nanorobotics, encompassing biosensors, diagnostics, targeted drug delivery, and minimally invasive surgery. It also addresses the key issues and challenges facing this technology. The fusion of micro/nanorobots with medical treatments is poised to have a profound impact on the future of medicine.
Indexed as
Identifiers
What OpenQuestion holds
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.