AIMC Topic: Minimally Invasive Surgical Procedures

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Deep Learning for Dynamic Prognostic Prediction in Minimally Invasive Surgery for Intracerebral Hemorrhage: Model Development and Validation Study.

JMIR medical informatics
BACKGROUND: The pathological and physiological state of patients with intracerebral hemorrhage (ICH) after minimally invasive surgery (MIS) is a dynamic evolution, and the traditional models cannot dynamically predict prognosis. Clinical data at mult...

SDMFFN: a novel specular detection median filtering fusion network for specular reflection removal in endoscopic images.

Biomedical physics & engineering express
. Endoscopic imaging is vital in Minimally Invasive Surgery (MIS), but its utility is often compromised by specular reflections that obscure important details and hinder diagnostic accuracy. Existing methods to address these reflections face limitati...

Extended length of stay in open versus minimally invasive surgery with robotic-assisted sub-analysis for spinal nerve sheath tumor resection: a nationwide analysis.

Scientific reports
Spinal nerve sheath tumors are slow-growing neoplasms that arise from Schwann cell lineage and encompass schwannomas, neurofibromas, hybrid nerve sheath tumors, and malignant peripheral nerve sheath tumors. These lesions most commonly present as intr...

Flexible robotic platforms for surgical applications in microgravity environments: a comprehensive systematic review of minimally invasive mechatronic systems and the impact of artificial intelligence on behalf of the Center for Space Systems (C-SET) & TROGSS-The Robotic Global Surgical Society.

Journal of robotic surgery
The advent of minimally invasive surgery (MIS) in the 1990s marked a transformative shift in surgical practice, leveraging advanced robotic-assisted systems (RAS) for enhanced precision, dexterity, and improved patient outcomes. Over the past two dec...

Minimally invasive surgery: a historical and legal perspective on technological transformation.

Journal of robotic surgery
Minimally Invasive Surgery (MIS) has experienced a significant evolution over the last 5,000 years, progressing from basic manual methods to sophisticated, robot-assisted approaches. The evolution of minimally invasive surgery (MIS) has been influenc...

Simulation-based training in minimally invasive surgical therapies (MIST): current evidence and future directions for artificial intelligence integration-a systematic review by EAU endourology.

World journal of urology
INTRODUCTION: Benign prostatic hyperplasia (BPH) affects a growing proportion of the aging male population. Minimally invasive surgical therapies (MISTs) such as Rezum and UroLift offer effective alternatives to traditional approaches like transureth...

Advances in nanorobotics for gastrointestinal surgery: a new frontier in precision medicine and minimally invasive therapeutics.

Journal of robotic surgery
Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synthetic biology, and intelligent computation to create a novel frontier in precision medicine. This review critically discusses the most recent experime...

Current status and challenges of minimally invasive ultrasound thermal ablation technology.

Physics in medicine and biology
Image-guided minimally invasive ultrasound thermal ablation has been widely studied for disease treatment due to its unique advantages, such as large treatment volumes and conformal delivery of ablation energy. This review presents the state-of-the-a...

Miniaturized soft growing robots for minimally invasive surgeries: challenges and opportunities.

Progress in biomedical engineering (Bristol, England)
Advancements in assistive robots have significantly transformed healthcare procedures in recent years. Clinical continuum robots have enhanced minimally invasive surgeries, offering benefits to patients such as reduced blood loss and a short recovery...

Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...