Surgery

Intraoperative assessment of surgical margins during radical prostatectomy: advances and challenges.

PURPOSE OF REVIEW: Detection of positive surgical margins during radical prostatectomy is critical to minimizing the risk of prostate cancer recurrence. This review deals with established methods, recent advances in real-time intraoperative technologies, and future directions in margin assessment. RECENT FINDINGS: This review examines traditional methods, real-time technologies, and prospects in i...

Mandibular Symphysis Bone for Alveolar Grafting: 3D Outcomes and Donor Site Regeneration in Patients With Unilateral Cleft Lip and Alveolus.

ObjectiveThe mandibular symphysis is a donor site for alveolar bone grafting (ABG) in patients with cleft lip and/or palate, offering reduced morbidity. This prospective study evaluated ABG outcomes and donor site regeneration using artificial intelligence (AI)-powered 3-dimensional (3D) tools.DesignProspective study.SettingTertiary-level craniofacial hospital.Patients, ParticipantsTwenty-one pati...

Preoperative prediction of cervical cancer recurrence using explainable MRI radiomics: a SHAP-Guided machine learning study.

PURPOSE: To develop and validate a machine learning model that integrated MRI radiomics features and clinical factors for preoperative prediction of p...

Optimal adherence thresholds for oral anticoagulants in patients with atrial fibrillation using machine learning and population administrative data.

BACKGROUND: Adherence to oral anticoagulants (OACs) for atrial fibrillation (AF) stroke prevention is traditionally defined as taking 80% of doses as ...

Pathologic assessment of resected stage III non-small cell lung cancer after neoadjuvant chemotherapy: identification of additional prognostic factors.

BACKGROUND: Non-small cell lung cancer (NSCLC) patients undergoing neoadjuvant chemotherapy (NACT) followed by surgery represent an ideal clinical set...

Autonomic Parameters Correlated to Acute Postoperative Pain in the Postanesthesia Care Unit: A Systematic Review.

INTRODUCTION: Current pain scoring systems are being replaced by sensor-derived physiological parameters responding to autonomic changes (i.e., autono...

An Internet of Things operating room platform for neurosurgery.

OBJECTIVE: The operating room (OR) is a data-rich environment and largely follows closed-door policies for health data security and privacy. To overco...

Predicting hydrophone phase and evaluating its uncertainty using magnitude data and minimum phase approach.

Hydrophones are commonly used to measure the acoustic output of ultrasound transducers and devices. Commonly, only the magnitude response of a hydroph...

A multi-task deep learning framework for intraoperative diagnosis of thyroid cancer metastasis using whole slide images.

BACKGROUND: Lymph node metastasis (LNM) is a critical prognostic indicator in papillary thyroid carcinoma (PTC), significantly influencing surgical de...

"I feel a lot more connected with my body after a session": a focus group exploration of the impact of exoskeleton walking on highly experienced robotic exoskeleton walkers.

PURPOSE: Robotic exoskeleton walking has become increasingly prevalent in the management of paralysis. To support better integration into clinical pra...

Open-world surgical video generation via dual-visual diffusion and dual-annealed generation.

Surgical video generation has drawn increasing attention due to its potential in surgical tasks. Existing methods usually emphasize the fitting of the...

Position statement from the society of University surgeons, surgical education committee: Artificial intelligence in surgical training for medical students, residents, and fellows.

OBJECTIVE: To provide guidance from the Society of University of Surgeons' Surgical Education Committee on the responsible integration of artificial i...

Precision medicine in orthopaedics: A review of current technologies and future directions.

PURPOSE: To synthesise the paradigm shift towards precision medicine in orthopaedics, where individual anatomical, biomechanical, molecular and kinema...

Prediction of Short-Term Postoperative Complications Following Open Reduction Internal Fixation of Ankle Fractures.

BACKGROUND: Minimizing postoperative complications is imperative to improving patient outcomes. The purpose of this investigation is to develop machin...

Artificial intelligence to automatically identify reverse shoulder arthroplasty implant brands on postoperative radiographs including uncertainty quantification.

BACKGROUND: Identifying the brand of reverse shoulder arthroplasty (rTSA) implanted is key in the postoperative evaluation of patients, a process that...

From static to robotic: evolving navigation systems in oral and maxillofacial surgery.

Navigation-assisted surgical systems in oral and maxillofacial surgery have evolved considerably over the past 5 years, with newer modifications aimed...

Impact of hypotension prediction index-guided management on intraoperative hypotension and postoperative outcomes in abdominal surgery: A meta-analysis of randomized controlled trials.

BACKGROUND: The Hypotension Prediction Index (HPI) is a machine-learning algorithm designed to predict hypotension. by maintaining mean arterial press...

Early clinical experiences with AI-based EVAR planning using the Endoleak Risk Index support its value for individualized decision-making and education.

OBJECTIVE: The aim of this study was to evaluate our first experience with the use of the artificial intelligence-based Endoleak Risk Index (ERI) in t...

Machine learning-based prediction models to assess 30-day outcomes following intervention for superficial venous incompetence of the lower limbs.

OBJECTIVE: Treatment of incompetent superficial veins can be associated with postoperative complications and pain, potentially impacting on patients' ...

Artificial Intelligence Can Inform Prediction of American Society of Anesthesiologists Physical Status Classification in Hand Surgery.

BACKGROUND: Hand surgeons are increasingly asked to assign American Society of Anesthesiologists (ASA) physical status classifications for local anest...