Surgery

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

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Spherical lesion formation in HIFU using robotic assistance for controlled focal point manipulation.

We propose a robot-assisted method to generate spherical thermal lesions by high-intensity focused u...

Risk assessment with the fuzzy Fine-Kinney method in a business operating in the metal industry.

Occupational risk assessment involves examining and ranking the risks and hazards in a production or...

Real-Time, AI-Guided Photodynamic Laparoscopy Enhances Detection in a Rabbit Model of Peritoneal Cancer Metastasis.

Accurate diagnosis is essential for effective cancer treatment, particularly in peritoneal surface m...

Generative Artificial Intelligence in Academic Surgery: Ethical Implications and Transformative Potential.

Artificial intelligence (AI) is rapidly being used in medicine due to its advanced capabilities in i...

Discrepancies between physician-assessed and patient-reported complications after cystectomy - a prospective analysis.

PURPOSE: Despite the high incidence of perioperative complications following cystectomy, there is a ...

Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions.

OBJECTIVE: Recent studies investigated the potential of large language models (LLMs) for clinical de...

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.

Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major ...

A deep learning-driven method for safe and effective ERCP cannulation.

PURPOSE: In recent years, the detection of the duodenal papilla and surgical cannula has become a cr...

Multifunctional Fiber Robotics with Low Mechanical Hysteresis for Magnetic Navigation and Inhaled Gas Sensing.

Recently, increasing research attention has been directed toward detecting the distribution of hazar...

Machine learning assisted radiomics in predicting postoperative occurrence of deep venous thrombosis in patients with gastric cancer.

BACKGROUND: Gastric cancer patients are prone to lower extremity deep vein thrombosis (DVT) after su...

Towards autonomous robotic THz-based in vivo skin sensing: the PicoBot.

Terahertz (THz) light has the unique properties of being very sensitive to water, non-ionizing, and ...

A low-cost transhumeral prosthesis operated via an ML-assisted EEG-head gesture control system.

Key challenges in upper limb prosthetics include a lack of effective control systems, the often inva...

A Workflow-Efficient Approach to Pre- and Post-Operative Assessment of Weight-Bearing Three-Dimensional Knee Kinematics.

BACKGROUND: Knee kinematics during daily activities reflect disease severity preoperatively and are ...

Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients.

BACKGROUND: A second primary malignant tumor is one of the most important factors affecting the long...

Zygomatic Osteotomy surgery design software based on skull CT scans - Self-supervised algo reduces workload.

BACKGROUND: The morphology of the zygomatic complex significantly influences facial appearance, lead...

Multitask learning in minimally invasive surgical vision: A review.

Minimally invasive surgery (MIS) has revolutionized many procedures and led to reduced recovery time...

CGNet: Few-shot learning for Intracranial Hemorrhage Segmentation.

In recent years, with the increasing attention from researchers towards medical imaging, deep learni...

Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study.

: While shoulder injuries represent the musculoskeletal disorders (MSDs) most encountered in physica...

Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values.

This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to pre...

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