AIMC Topic: Needles

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Deep learning-based autonomous retinal vein cannulation in ex vivo porcine eyes.

Science robotics
Retinal vein cannulation (RVC) is an emerging method for treating retinal vein occlusion (RVO). The success of this procedure depends on surgeon expertise and, recently, robotic assistance. This paper proposes an autonomous RVC workflow leveraging de...

Additive manufacturing of microneedles: a quality by design approach to clinical translation.

International journal of pharmaceutics
Transdermal drug delivery systems (TDDS) offer a painless and non-invasive route of administration but are limited by the skin barrier. Microneedles (MNs) have been shown to overcome this challenge and enable the delivery of small molecules, peptides...

Toward intelligent immune microneedles: Strategies for sensing, therapy, and immune regulation.

Journal of controlled release : official journal of the Controlled Release Society
The human immune system defends against pathogens, regulates inflammation, and supports tissue repair, but overactivity or dysregulation can compromise these functions. While wearable devices have been explored for immune modulation, conventional des...

A microneedle-based integrated three-electrode system for pesticide detection using machine learning.

The Analyst
Pesticides contribute to enhanced agricultural productivity, yet excessive residues pose significant health risks to humans as they persist even after washing, making their detection in crops critically important. In this study, we employed 3D-printe...

Medical needles in the hands of AI: Advancing toward autonomous robotic navigation.

Science robotics
Safely and accurately navigating needles percutaneously or endoscopically to sites deep within the body is essential for many medical procedures, from biopsies to localized drug deliveries to tumor ablations. The advent of image guidance decades ago ...

Revolutionizing biosensing with wearable microneedle patches: innovations and applications.

Journal of materials chemistry. B
Wearable microneedle (MN) patches have emerged as a transformative platform for biosensing, offering a minimally invasive and user-friendly approach to real-time health monitoring and disease diagnosis. Primarily designed to access interstitial fluid...

Development of a Low-Profile, Piezoelectric Robot for MR-Guided Abdominal Needle Interventions.

Annals of biomedical engineering
PURPOSE: Minimally invasive needle-based interventions are commonly used in cancer diagnosis and treatment, including procedures, such as biopsy, brachytherapy, and microwave ablation. Although MR-guided needle placement offers several distinct advan...

Developing a deep learning model for the automated monitoring of acupuncture needle insertion: enhancing safety in traditional acupuncture practices.

BMC complementary medicine and therapies
BACKGROUND: Acupuncture is a widely practiced traditional therapy, yet safety concerns, particularly needle breakage and retention, remain critical issues that can lead to complications such as infections, organ injury, or chronic pain. This study ai...

Augmented Intelligence-Based Interference Pattern Analysis (AI-IPA) in Concentric Needle Electromyography.

Muscle & nerve
INTRODUCTION/AIMS: To add objectivity to the routine needle electromyography examination, we describe an "Augmented Intelligence" based interference pattern (IP) analysis method that mimics the subjective assessment by quantifying IP fullness, discre...

Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence-Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model.

Journal of vascular and interventional radiology : JVIR
PURPOSE: To investigate the feasibility of a robotic system with artificial intelligence-based lesion detection and path planning for computed tomography (CT)-guided biopsy compared with the conventional freehand technique.