Latest AI and machine learning research in surgery for healthcare professionals.
Cost containment remains critical for widespread adoption of robotic surgery, yet operating room waste of single-use supplies represents a significant source of unnecessary expenditure that is often overlooked. Traditional waste tracking relies on time-intensive direct observation, limiting scalability and consistency. We developed and validated AIMs, a computer vision-based system designed to aut...
PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-assessment tools identify only a fraction of women who experience severe complications. This review synthesizes recent advances in artificial intelligence and machine learning for early prediction, decision support, and procedural guidance in obstetric anesthesia, with a focus on postpartum hemorrhage,...
Innovation is frequently invoked as an essential driver of progress in modern surgery, yet its definition, implementation, and leadership aspects rema...
Vision-language pre-training (VLP) offers unique advantages for surgery by aligning language with surgical videos, enabling workflow understanding and...
PURPOSE OF REVIEW: Hemodynamic instability and uncontrolled hemorrhage remain leading causes of preventable morbidity and mortality in trauma and peri...
PURPOSE OF REVIEW: Anesthesiology generates large volumes of heterogeneous perioperative data, including high-resolution physiological signals, clinic...
PURPOSE OF REVIEW: To synthesize recent advances in intraoperative resuscitation for trauma surgery, including fluid composition, transfusion threshol...
Robotic models of biological systems are useful for independently varying specific features to determine their contribution to whole-system behavior, ...
Background: Mammographic artificial intelligence (AI) systems have been explored for future breast cancer risk prediction. Objective: To investigate a...
INTRODUCTION: The use of artificial intelligence (AI) for TI-RADS classification in neck sonography for the assessment of thyroid nodules has been pro...
Malalignment after femoral fracture repair remains common, with up to one-third of patients experiencing malrotations. Manual femoral fracture reducti...
BACKGROUND: Self-reported, computerized history taking (CHT) may enable efficient collection of medical histories for acute chest pain management. OBJ...
BACKGROUND: Delirium is a frequent postoperative complication among patients who have undergone cardiac surgery and is associated with prolonged hospi...
BACKGROUND: Postoperative pancreatic fistula (POPF) is the major driver of postoperative morbidity after pancreatoduodenectomy (PD) and a healthcare i...
Retinal detachment (RD) is a serious ocular disease that can lead to permanent vision loss. In cases with fundus-obscuring vitreous hemorrhage (VH), i...
BACKGROUND: The use of multimodal artificial intelligence (AI) in plastic surgery is steadily increasing. Whether a general-purpose multimodal AI tool...
BACKGROUND: Live broadcasting of robotic surgery can expand access to specialist training and telementoring, but operating theatres can be difficult e...
BACKGROUND: Length of hospital admission after major oncologic surgery is often highly variable. Although in carefully selected patients, early discha...
Oral cancer and oral potentially malignant disorders (OPMDs) remain a significant challenge in diagnosis and therapy, primarily due to inherent limita...
OBJECTIVES: Measuring surgical competency is essential for surgical residents to ensure patient safety. Traditional assessment tools, rely on subjecti...