Surgery

Optimizing operating room efficiency in robotic-assisted total knee arthroplasty through manufacturing efficiency principles.

PURPOSE: Recent studies have explored the application of manufacturing efficiency principles as a framework for improving operating room (OR) throughput, quality of care and patient outcomes. However, these principles have not yet been validated with real-world research data. In this study, we investigated whether applying these principles has an impact on the operational excellence and teams' con...

A Comprehensive Video Dataset for Surgical Laparoscopic Action Analysis.

Laparoscopic surgery has been widely used in various surgical fields due to its minimally invasive and rapid recovery benefits. However, it demands a high level of technical expertise from surgeons. While advancements in computer vision and deep learning have significantly contributed to surgical action recognition, the effectiveness of these technologies is hindered by the limitations of existing...

Electroencephalography microstates predict 12-h abstinence-induced craving changes in young smokers.

Nicotine abstinence inhibits the function of the mesolimbic dopamine system to enhance craving. EEG microstates may provide spatiotemporal characteris...

Development and application of an intelligent platform for automated recognition of surgical instruments in laparoscopic procedures: a multicenter retrospective study [experimental studies].

BACKGROUND: Surgical videos offer rich intraoperative data critical for surgical education, quality control, and skill assessment. However, their incr...

AI and machine learning in paediatric spine deformity surgery.

Paediatric spine deformity surgery is a high-stakes procedure. It demands the surgeon to have exceptional anatomical knowledge and precise visuospatia...

A Joint Geometric Topological Analysis Network (JGTA-Net) for Detecting and Segmenting Intracranial Aneurysms.

OBJECTIVE: The rupture of intracranial aneurysms leads to subarachnoid hemorrhage. Detecting intracranial aneurysms before rupture and stratifying the...

Development and validation of a multi-omics hemorrhagic transformation model based on hyperattenuated imaging markers following mechanical thrombectomy.

This study aimed to develop a predictive model integrating clinical, radiomics, and deep learning (DL) features of hyperattenuated imaging markers (HI...

Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma.

Accurate prediction of prognosis and postoperative radiotherapy response is critical for personalized treatment in head and neck squamous cell carcino...

Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy.

Hypoxemia is a common complication associated with anesthesia in painless gastroscopy. With the aging of the social population, the number of cases of...

A dynamics based procedure for clustering and classifying space debris.

Space debris around the Earth are becoming an increasing threat for space missions. Their number is growing due to the frequent launches of satellites...

Effectiveness of hypotension prediction index software in reducing intraoperative hypotension in prolonged prone-position spine surgery: a single-center clinical trial.

Intraoperative hypotension (IOH) is associated with morbidity and mortality. The Hypotension Prediction Index (HPI), a machine learning-based tool, of...

Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage.

BACKGROUNDS: Delayed cerebral ischemia (DCI) is a significant complication following aneurysmal subarachnoid hemorrhage (aSAH), leading to poor progno...

Robotics and Digital Surgery. Toward a Uniquely Differentiated Specialty.

Digital surgery is a composite term whereby computing power underpins the procedure and the operating environment. It includes advanced visualization,...

Enhancing Label-Free Fluorescence Lifetime Imaging for Intraoperative Tumor Margin Delineation in Head and Neck Cancer using Data-Centric AI.

Precise intraoperative delineation of tumor margin is critical for maximizing resection completeness and minimizing recurrence in head and neck cancer...

Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward.

The accurate assessment of aortic diameter (AoD) is essential in managing patients with traumatic hemorrhage, particularly during interventions such ...

Advancements in Machine Learning for Precision Diagnostics and Surgical Interventions in Interconnected Musculoskeletal and Visual Systems.

Artificial intelligence (AI) is reshaping precision medicine by revealing diagnostic links between ocular biomarkers and systemic musculoskeletal diso...

Artificial intelligence based surgical support for experimental laparoscopic Nissen fundoplication.

BACKGROUND: Computer vision (CV), a subset of artificial intelligence (AI), enables deep learning models to detect specific events within digital imag...

iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.

Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advanced cases, retinal pigment epithelium (RPE) cell los...

[Is the application of digital technologies the game changer for surgical training of the future? A Germany-wide analysis].

BACKGROUND: The use of digital technologies is becoming increasingly important in medicine and is having a significant impact on developments in the s...

HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture Grading.

Osteoporotic vertebral compression fractures (OVCFs) are prevalent in the elderly population, typically assessed on computed tomography (CT) scans by ...