Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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Leveraging advanced graph neural networks for the enhanced classification of post anesthesia states to aid surgical procedures.

Anesthesia plays a pivotal role in modern surgery by facilitating controlled states of unconsciousne...

Preoperative submaximal cardiopulmonary exercise testing and its association with early postoperative complications.

BACKGROUND: Early postoperative complication risk prediction would enhance perioperative surveillanc...

Generalizability of Artificial Intelligence Assessments in Laparoscopic Surgery Simulation.

INTRODUCTION: The application of artificial intelligence (AI) in the assessment of procedural skills...

Predicting outcomes following open abdominal aortic aneurysm repair using machine learning.

Patients undergoing open surgical repair of abdominal aortic aneurysm (AAA) have a high risk of post...

Options for postoperative radiation therapy in patients with de novo metastatic breast cancer.

BACKGROUND: Although meta-analyses have demonstrated survival benefits associated with primary tumor...

Facial surgery preview based on the orthognathic treatment prediction.

BACKGROUND AND OBJECTIVE: Orthognathic surgery consultations are essential for helping patients unde...

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

PURPOSE: Minimally invasive needle-based interventions are commonly used in cancer diagnosis and tre...

Biomimetic rigid-soft finger design for highly dexterous and adaptive robotic hands.

In dexterous robotic hand design, achieving high mobility and adaptability comparable to human hands...

SegMatch: semi-supervised surgical instrument segmentation.

Surgical instrument segmentation is recognised as a key enabler in providing advanced surgical assis...

Bridging surgical oncology and personalized medicine: the role of artificial intelligence and machine learning in thoracic surgery.

Lung cancer remains the leading cause of cancer-related deaths globally, often detected in advanced ...

Clinical performance of a machine learning-based model for detecting lymph node metastasis in papillary thyroid carcinoma: A multicenter study.

Papillary thyroid carcinoma (PTC) is a common endocrine malignancy with a generally favorable progno...

Efficient control of spider-like medical robots with capsule neural networks and modified spring search algorithm.

This study introduces an innovative method for gesture recognition in medical robotics, utilizing Ca...

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

Advancements in assistive robots have significantly transformed healthcare procedures in recent year...

Fine-tune language models as multi-modal differential equation solvers.

In the growing domain of scientific machine learning, in-context operator learning has shown notable...

Artificial intelligence in refractive surgery.

PURPOSE OF REVIEW: Advances in artificial intelligence have integrated into modern medicine decision...

Early operative difficulty assessment in laparoscopic cholecystectomy via snapshot-centric video analysis.

PURPOSE: Laparoscopic cholecystectomy (LC) operative difficulty (LCOD) is highly variable and influe...

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