Surgery

Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework

Breast-conserving surgery (BCS) aims to completely remove malignant lesions while maximizing healthy tissue preservation. Intraoperative margin assessment is essential to achieve a balance between thorough cancer resection and tissue conservation. A deep ultraviolet fluorescence scanning microscope (DUV-FSM) enables rapid acquisition of whole surface images (WSIs) for excised tissue, providing c...

Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

In ophthalmic surgery, developing an AI system capable of interpreting surgical videos and predicting subsequent operations requires numerous ophthalmic surgical videos with high-quality annotations, which are difficult to collect due to privacy concerns and labor consumption. Text-guided video generation (T2V) emerges as a promising solution to overcome this issue by generating ophthalmic surgi...

Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data

Identifying brain hemorrhages from magnetic resonance imaging (MRI) is a critical task for healthcare professionals. The diverse nature of MRI acqui...

Autonomous Robotic Pruning in Orchards and Vineyards: a Review

Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where ...

Using Gesture and Speech to Control Surgical Lighting Systems: Mixed Methods Study.

BACKGROUND: Surgical lighting systems (SLSs) provide optimal lighting conditions for operating room personnel. Current systems are mainly adjusted by ...

Hair Transplantation: State of the Art.

BACKGROUND: Hair transplantation is a minimally invasive procedure for treating hair loss in men and women, based on the principle of donor dominance,...

Investigation of Bleeding Disorders: When and How Should We Test Platelet Functions?

Inherited platelet disorders (IPDs) are rare conditions with diverse underlying pathophysiology which should be suspected in patients presenting with ...

Enhancing noninvasive pancreatic cystic neoplasm diagnosis with multimodal machine learning.

Pancreatic cystic neoplasms (PCNs) are a complex group of lesions with a spectrum of malignancy. Accurate differentiation of PCN types is crucial for ...

Automatic CTA analysis for blood vessels and aneurysm features extraction in EVAR planning.

Endovascular Aneurysm Repair (EVAR) is a minimally invasive procedure crucial for treating abdominal aortic aneurysms (AAA), where precise pre-operati...

Can American Board of Surgery in Training Examinations be passed by Large Language Models? Comparative assessment of Gemini, Copilot, and ChatGPT.

ObjectiveThis study aimed to evaluate the performance of large language models (LLMs) in answering questions from the American Board of Surgery In-Tra...

Detection of anatomic landmarks during laparoscopic cholecystectomy with the use of artificial intelligence-a systematic review of the literature.

Identifying the critical view of safety (CVS) and other safe anatomic landmarks during laparoscopic cholecystectomy (LC) is the cornerstone for avoidi...

Intramedullary Bone Graft Harvest Using Reamer-Irrigator-Aspirator System: A Case Series.

Autogenous iliac crest bone grating has been the gold standard. Recently, intramedullary bone graft harvest using a reamer-irrigator-aspirator (RIA) h...

Efficient Robotic Policy Learning via Latent Space Backward Planning

Current robotic planning methods often rely on predicting multi-frame images with full pixel details. While this fine-grained approach can serve as ...

Efficient Robotic Policy Learning via Latent Space Backward Planning

Current robotic planning methods often rely on predicting multi-frame images with full pixel details. While this fine-grained approach can serve as ...

Predicting Surgical Safety Margins in Osteosarcoma Knee Resections: An Unsupervised Approach

According to the Pan American Health Organization, the number of cancer cases in Latin America was estimated at 4.2 million in 2022 and is projected...

Enhancing segmentation accuracy of the common iliac vein in OLIF51 surgery in intraoperative endoscopic video through gamma correction: a deep learning approach.

PURPOSE: The principal objective of this study was to develop and evaluate a deep learning model for segmenting the common iliac vein (CIV) from intra...

Dynamic bone recognition for robotic vertebral plate cutting via unit energy consumption and SVM optimized by PSO.

Current orthopedic robots lack the ability to dynamically sense or accurately recognize bone layers during vertebral plate decompression surgery, limi...

Two-Stage Random Alternation Framework for One-Shot Pansharpening

Deep learning has substantially advanced pansharpening, achieving impressive fusion quality. However, a prevalent limitation is that conventional de...

A novel scheme for non-invasive drug delivery with a magnetically controlled drug delivering capsule endoscope.

There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we report a novel magnetically controlled drug deliv...

Role of Artificial Intelligence in Musculoskeletal Interventions.

Artificial intelligence (AI) has rapidly emerged as a transformative force in musculoskeletal imaging and interventional radiology. This article explo...