Latest AI and machine learning research in surgery for healthcare professionals.
Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for orophary...
Traditionally T1-2N0 oropharyngeal carcinoma is treated with a single treatment modality, being eith...
OBJECTIVE: To report our experience using C-arm cone beam CT (C-arm CBCT) combined with the new remo...
BACKGROUND: Robotic-assisted thyroid surgery using a retroauricular approach was reported as a novel...
Post-surgical adverse outcomes, including mortality, intensive care readmission, and complications, ...
Background Machine learning (ML) models are increasingly used to predict adverse outcomes after surg...
Routine laboratory panels drawn during cancer treatment constitute longitudinal physiological record...
Despite substantial interest in how neural systems recover over time after acute neurological events...
Background: Machine learning models trained on population health surveys offer scalable tools for ca...
Artificial intelligence (AI) decision support systems for surgery hold promise but face barriers to ...
Background: Non-invasive diagnosis, reliable recurrence surveillance remain critical unmet needs in ...
Efforts to restore vision via neural implants have outpaced the ability to predict what users will p...
Background: Extent of resection remains central to meningioma management, yet Simpson grading is sub...
Background Informed consent depends on patients' understanding of anaesthesia risk, yet comprehensio...
Pathological assessment guides lung cancer diagnosis, treatment selection, and prognostic evaluation...
This study presents a methodology for constructing a clinically verified dataset of dermatoscopic im...
Background and Purpose: Drug resistant epilepsy (DRE) affects approximately 15 million people worldw...
Background: With growing impetus to integrate artificial intelligence (AI) tools into radiology, cli...
Achieving high levels of surgical skill through effective training is essential for optimal patient ...
Benchmarks are necessary for healthcare evaluation, but are not sufficient for predicting deployment...
Presurgical mapping of key white matter (WM) fiber tracts is crucial for intracerebral hemorrhage (I...