Surgery

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

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

Delicate manual microsurgeries rely on sufficient hands-on experience for safe manipulations. Automa...

Feb 2025 39952944
Robust multi-label surgical tool classification in noisy endoscopic videos.

Over the past few years, surgical data science has attracted substantial interest from the machine l...

Feb 2025 39952951
Survival machine learning model of T1 colorectal postoperative recurrence after endoscopic resection and surgical operation: a retrospective cohort study.

OBJECTIVE: To construct a postoperative recurrence prediction model for patients with T1 colorectal ...

Feb 2025 39953493
A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm.

In the field of robotic arm trajectory imitation learning, Gaussian Mixture Models are widely used f...

Feb 2025 39951461
Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study.

BACKGROUND: Wrong-site surgery (WSS) is a critical but preventable medical error, often resulting in...

Feb 2025 39946709
Diagnosis and treatment of a rare bilateral primary thyroid cancer: a case report.

Preoperative ultrasound examination of thyroid nodules is the most economical and effective screenin...

Feb 2025 40017634
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...

Feb 2025 39939441
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...

Feb 2025 39930743
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 ...

Feb 2025 39928165
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...

Feb 2025 39923296
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 ...

Feb 2025 39922959
A comparison of large language model-generated and published perioperative neurocognitive disorder recommendations: a cross-sectional web-based analysis.

BACKGROUND: Perioperative neurocognitive disorders (PNDs) are common complications after surgery and...

Feb 2025 39922789
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...

Feb 2025 39920403
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...

Feb 2025 39918309
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...

Feb 2025 39854835
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 ...

Feb 2025 39915605
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...

Feb 2025 39920636
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...

Feb 2025 39913454
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