Surgery

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

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Predicting early return to sport after periacetabular osteotomy : a machine-learning approach.

AIMS: Periacetabular osteotomy (PAO) is the primary surgical treatment for developmental dysplasia o...

Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities.

PURPOSE: Automated surgical phase recognition (SPR) uses artificial intelligence (AI) to segment the...

An Appraisal of the Quality of Development and Reporting of Predictive Models in Spine Surgery.

Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...

Robotic-Assisted Arthroscopy Promises Enhanced Procedural Efficiency, Visualization, and Control but Must Overcome Barriers to Adoption.

Robotic-assisted surgery is now well-established in spine surgery and total joint arthroplasty, but ...

Advancing Musculoskeletal Care Using AI and Digital Health Applications: A Review of Commercial Solutions.

Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) c...

End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures.

PURPOSE: Soft tissue pathologies and bone defects are not easily visible in intra-operative fluorosc...

The Growing Role of Artificial Intelligence in Surgical Education: ChatGPT Undertakes the Australian Generic Surgical Sciences Examination.

BACKGROUND: Large language models have undergone vast development in recent years. The advent of lar...

Artificial Intelligence for Root Canal Orifice Identification Using Dental Operating Microscope Images: A Preliminary Evaluation.

To evaluate the diagnostic performance of artificial intelligence (AI) in detecting root canal orifi...

A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery.

BACKGROUND & AIMS: Deep vein thrombosis, a common complication after laparoscopic surgery, can negat...

Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory Response Syndrome Following Pediatric Percutaneous Nephrolithotripsy.

OBJECTIVE: This study aimed to develop and validate a machine learning-based model for predicting sy...

Large Language Models in Spine Surgery: A Promising Technology.

Large language models (LLMs) offer potential applications across medical specialties; in spine surge...

Development and validation of a machine learning-based model for predicting intraoperative blood loss during burn surgery.

BACKGROUND: Intraoperative blood loss is a critical issue in the care of patients with burns. The ti...

Identifying Predictors of Failed Back Surgery Syndrome Following Lumbar Spine Surgery: A Machine Learning Approach.

STUDY DESIGN: Retrospective cohort study from a tertiary academic medical center.

Hierarchical Information-guided robotic grasp detection.

With the advancement of deep learning, robotic grasping has seen widespread application in fields, b...

Enhancing environmental sustainability and operational efficiency in a case study of limestone quarry in an arid climate.

This study explored innovative approaches to enhance environmental sustainability and operational ef...

Predicting NSCLC surgical outcomes using deep learning on histopathological images: development and multi-omics validation of Sr-PPS model.

BACKGROUND: Currently, there remains a critical need for reliable tools to accurately predict post-s...

Optimization of robotic spray painting trajectories using machine learning for improved surface quality.

The production process needs spray painting particularly within automobile manufacturing since produ...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...

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