Latest AI and machine learning research in surgery for healthcare professionals.
PURPOSE OF REVIEW: Postoperative follow-up after regional anesthesia is essential for identifying complications, distinguishing expected block effects from pathologic findings, and guiding clinical decision-making. As regional techniques expand into ambulatory settings, scalable and reliable follow-up strategies have become increasingly important, making this a timely area of review. RECENT FINDIN...
BACKGROUND: Graft-versus-host disease (GVHD) remains a critical complication affecting patients undergoing hematopoietic stem cell transplantation (HSCT), with multifaceted symptoms requiring systematic management. Current clinical practices lack structured tools to guide nurses in addressing GVHD-related symptoms across diverse organ systems. This review aims to synthesize evidence on GVHD sympto...
Acute kidney injury (AKI) is a common and severe complication following renal transplantation, largely driven by ischemia-reperfusion injury (IRI). Ho...
OBJECTIVE: To compare robotic body weight supported treadmill training (RBWSTT), overground robotic exoskeleton training (ORET), and conventional phys...
Patients with stage II/III colorectal cancer remain at substantial risk of early postoperative recurrence, yet accurate risk stratification remains ch...
BACKGROUND: Videolaryngoscopy (VL) is recommended as a first-line technique for tracheal intubation; however, existing airway assessment tools-largely...
BACKGROUND: Despite increased awareness of diversity and inclusion in neurointerventional surgery, the representation of women in neurointerventional ...
In many robotic applications, such as humanoids, wearable robots or supernumerary limbs, there is a growing shift from rigid, traditional mechanisms t...
BACKGROUND: 3D-printed patient-specific pedicle screw guides (3DPSG) may provide accuracy comparable to intraoperative CT navigation (CTNav). Our 3DPS...
IMPORTANCE: Glossectomy and reconstruction for tongue tumors carries substantial risk of postoperative morbidity, yet current tools offer limited indi...
BACKGROUND: Although large language models (LLMs) show potential for patient education, their accuracy, usability, and comprehensibility lack validati...
BACKGROUND: Estimation of lumbar spinal loads is important for understanding low back pain, guiding ergonomic interventions, and informing surgical an...
OBJECTIVES: To evaluate the feasibility of using wearable inertial measurement units (IMUs; small body-worn sensors that capture linear acceleration a...
Robotic surgery actually refers to mechanized, remote instrumentation that offers greater agility in terms of degrees of freedom compared to classical...
BACKROUND: The glenoid concavity and the compression applied by the rotator cuff (RC) are essential for glenohumeral stability (GHS). This study aimed...
OBJECTIVE: Nutrition status is vital for children's recovery following cardiac surgery, with substantial inter-individual variability in metabolic dem...
AIMS: The aim of this study was to examine the association between postoperative physical activity and mortality following hip and knee arthroplasty. ...
PURPOSE: To develop and validate a multimodal deep learning framework that integrates clinical metadata with [18F]FDG PET/CT imaging to resolve overla...
Preoperative muscle strength is an important predictor of functional recovery after total hip arthroplasty (THA); however, accurate assessment is diff...
BACKGROUND: Chronic post-surgical pain (CPSP) is a common long-term complication with multifactorial contributors, and improved risk stratification re...