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 ultrasound (HIFU) ablation. Typically, HIFU-induced thermal lesions are cigar-shaped because the acoustic field in the focal area has a similar elongated shape. We assumed that HIFU irradiation with a certain range and pattern of motion could influence the heat transfer within the target area, allowi...

Feb 12 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 malignancies, where failure to detect metastatic lesions can mislead the treatment plan. This study assessed the diagnostic accuracy of staging laparoscopy using the integration of artificial intelligence (AI)-guided photodynamic diagnosis (PDD) with the photosensitizer Phonozen, activated at 405 nm ...

Feb 10 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 lack of evidence regarding patients' perceptions. ...

Feb 10 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 decision making and answering exam questions based o...

Feb 9 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 cause of death. We analyzed longitudinal data with...

Feb 8 2025 39922959
American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator Accuracy When Operative Risk is Represented by the Principal Current Procedural Terminology Code Versus Many Codes.

OBJECTIVE: To determine whether American College of Surgeons National Surgical Quality Improvement Program risk calculator (RC) accuracy can be improv...

Feb 7 2025 39917834
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 anaesthesia, particularly in older adults, leadin...

Feb 7 2025 39922789
Patient performance assessment methods for upper extremity rehabilitation in assist-as-needed therapy strategies: a comprehensive review.

This paper aims to comprehensively review patient performance assessment (PPA) methods used in assist-as-needed (AAN) robotic therapy for upper extrem...

Feb 7 2025 39918767
Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation.

Primary graft dysfunction (PGD) is a common complication after lung transplantation associated with poor outcomes. Although risk factors have been ide...

Feb 7 2025 39924113
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 critical task in computer-assisted endoscopic retrog...

Feb 7 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 hazardous gases in the respiratory system for potential...

Feb 7 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 invasive surgical requirements of brain-controlled lim...

Feb 7 2025 39854835
Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema.

Diabetic Macular Edema (DME) is a major complication of diabetic retinopathy characterized by fluid accumulation in the macula, leading to vision impa...

Feb 7 2025 39915516
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 having sub-millimeter depth resolution, making it ...

Feb 7 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 surgery, which is an important cause of death in pos...

Feb 7 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-term survival of young women with breast cancer (...

Feb 6 2025 39913454
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, leading to a focus on zygomatic osteotomy. The current...

Feb 5 2025 39915155
CGNet: Few-shot learning for Intracranial Hemorrhage Segmentation.

In recent years, with the increasing attention from researchers towards medical imaging, deep learning-based image segmentation techniques have become...

Feb 5 2025 39921928
Multitask learning in minimally invasive surgical vision: A review.

Minimally invasive surgery (MIS) has revolutionized many procedures and led to reduced recovery time and risk of patient injury. However, MIS poses ad...

Feb 5 2025 39938343
Machine learning research methods to predict postoperative pain and opioid use: a narrative review.

The use of machine learning to predict postoperative pain and opioid use has likely been catalyzed by the availability of complex patient-level data, ...

Feb 5 2025 39909542
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