AIMC Topic: Microsurgery

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Robotic hand surgery: current insights and future directions.

The Journal of hand surgery, European volume
Robotic surgery is a rapidly evolving field that will potentially play a pivotal role in future patient care. There are specific challenges that needs circumventing for each surgical specialty. This article discusses the current robotic surgical syst...

Multi-axis robotic forceps with decoupled pneumatic actuation and force sensing for cochlear implantation.

Nature communications
Delicate manual microsurgeries rely on sufficient hands-on experience for safe manipulations. Automated surgical devices can enhance the effectiveness, but developing high-resolution, multi-axis force-sensing devices for micro operations remains chal...

Advancements in microsurgery: A comprehensive systematic review of artificial intelligence applications.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and discern patterns without direct instruction. This review explores cutting-edge developments in microsurgery through the lens of AI applica...

Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Tubular microdiscectomy (TMD) is a treatment for lumbar disc herniation (LDH). Although the combination of MRI and deep learning (DL) has shown promise, its application in evaluating postoperative outcomes in TMD has not been fully explor...

Deep Learning Detection of Hand Motion During Microvascular Anastomosis Simulations Performed by Expert Cerebrovascular Neurosurgeons.

World neurosurgery
OBJECTIVE: Deep learning enables precise hand tracking without the need for physical sensors, allowing for unsupervised quantitative evaluation of surgical motion and tasks. We quantitatively assessed the hand motions of experienced cerebrovascular n...

Artificial intelligence applications in ophthalmic surgery.

Current opinion in ophthalmology
PURPOSE OF REVIEW: Technologies in healthcare incorporating artificial intelligence tools are experiencing rapid growth in static-image-based applications such as diagnostic imaging. Given the proliferation of artificial intelligence (AI)-technologie...

A microdiscectomy surgical video annotation framework for supervised machine learning applications.

International journal of computer assisted radiology and surgery
PURPOSE: Lumbar discectomy is among the most common spine procedures in the US, with 300,000 procedures performed each year. Like other surgical procedures, this procedure is not excluded from potential complications. This paper presents a video anno...

A multi-institutional machine learning algorithm for prognosticating facial nerve injury following microsurgical resection of vestibular schwannoma.

Scientific reports
Vestibular schwannomas (VS) are the most common tumor of the skull base with available treatment options that carry a risk of iatrogenic injury to the facial nerve, which can significantly impact patients' quality of life. As facial nerve outcomes re...

Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study.

Neurosurgical review
Appropriate needle manipulation to avoid abrupt deformation of fragile vessels is a critical determinant of the success of microvascular anastomosis. However, no study has yet evaluated the area changes in surgical objects using surgical videos. The ...

Both Patients and Plastic Surgeons Prefer Artificial Intelligence-Generated Microsurgical Information.

Journal of reconstructive microsurgery
BACKGROUND:  With the growing relevance of artificial intelligence (AI)-based patient-facing information, microsurgical-specific online information provided by professional organizations was compared with that of ChatGPT (Chat Generative Pre-Trained ...