ReviewMicrosystems & nanoengineering2025
Flexible micromachined ultrasound transducers (MUTs) for biomedical applications.
Review in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Wearable ultrasound: a review of core technologies and clinical applications in cardiovascular monitoring.Microsystems & nanoengineering · 2026Review
- High-uniformity miniaturized PMUT array with broadband and high-sensitivity for wearable ultrasound imaging.Microsystems & nanoengineering · 2026Article
- Recent advances in transducers for through-tissue ultrasonic power transfer.Progress in biomedical engineering (Bristol, England) · 2026Review
- Advances and Challenges of Capacitive Micromachined Ultrasonic Transducers in Medical Imaging.Micromachines · 2026Review
- Ultrasound in Women's Health: Mechanisms, Applications, and Emerging Opportunities.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Mechanisms of Concentric Ring Electrodes in Tuning the Performance of Z-Cut Lithium Niobate Ultrasonic Transducers.Sensors (Basel, Switzerland) · 2026Article
- Flexible Sensors for Battery Health Monitoring.Nano-micro letters · 2026Review
- High frame rate ultrasonic flowmeter based on PMUT array with bidirectional acoustic beams.Microsystems & nanoengineering · 2025Article
- A MEMS electro-mechanical co-optimization platform featuring freeform geometry optimization based on a genetic algorithm.Microsystems & nanoengineering · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The use of bulk piezoelectric transducer arrays in medical imaging is a well-established technology that operates based on thickness mode piezoelectric vibration. Meanwhile, advancements in fabrication techniques have led to the emergence of micromachined alternatives, namely, piezoelectric micromachined ultrasound transducer (PMUT) and capacitive micromachined ultrasound transducer (CMUT). These devices operate in flexural mode using piezoelectric thin films and electrostatic forces, respectively. In addition, the development of flexible ultrasound transducers based on these principles has opened up new possibilities for biomedical applications, including biomedical imaging, sensing, and stimulation. This review provides a detailed discussion of the need for flexible micromachined ultrasound transducers (MUTs) and potential applications, their specifications, materials, fabrication, and electronics integration. Specifically, the review covers fabrication approaches and compares the performance specifications of flexible PMUTs and CMUTs, including resonance frequency, sensitivity, flexibility, and other relevant factors. Finally, the review concludes with an outlook on the challenges and opportunities associated with the realization of efficient MUTs with high performance and flexibility.
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.