Latest AI and machine learning research in surgery for healthcare professionals.
Accurately distinguishing the benign thyroid nodules (BTNs) and malignant thyroid nodules (MTNs) is crucial for treatment planning and prognosis. This study aims to explore the clinical value of artificial intelligence ultrasound-assisted diagnostic system (AI-UADS) in diagnosing the BTNs and MTNs. In this retrospective case-control study, a total of 161 TNs from 91 patients confirmed by surgical ...
Bacterial infections represent a critical threat to neonatal health, accounting for approximately 25% of neonatal mortality globally. Timely and precise diagnosis in infants aged 1 to 90Â days is essential to facilitate rapid intervention and prevent severe complications. This study aimed to develop and evaluate machine learning (ML) models for the early, non-invasive prediction of bacterial infect...
Pituitary macroadenomas (PMAs) are among the most common intracranial tumors and pose significant surgical challenges, especially when the tumor consi...
To systematically characterize the global research trends, knowledge structure, thematic hotspots, and frontier evolution of artificial intelligence (...
Causal questions have long been central to psychological research, particularly in randomized experiments, while formal causal-inference methods are i...
OBJECTIVES: To evaluate the feasibility and accuracy of an artificial intelligence (AI) model to assist surgeons through automated real-time detection...
OBJECTIVE: To compare the diagnostic accuracy of four available automated electronic medical record (EMR) retrieval methods, including a large languag...
BACKGROUND: Accurately predicting operative difficulty in laparoscopic cholecystectomy (LC) is foundational to personalized surgical planning and pati...
BACKGROUND AND OBJECTIVES: Patients with temporal lobe epilepsy (TLE) can achieve seizure freedom in the early period after surgery, yet up to half ex...
Although applications in the field of Robotic Technologies for Older Adults' Healthcare are becoming increasingly widespread, existing research has la...
To map the development of robot-generated surgical data in urology and to assess how far the literature has progressed from engineering measurement to...
BACKGROUND: Liver enzyme biomarkers are known to contribute to the onset and progression of colorectal cancer. OBJECTIVE: To develop a novel oxidative...
BACKGROUND: Perioperative pressure injuries remain a major patient safety challenge, particularly among critically ill and immobilised patients. Altho...
Postoperative nocardial infection after cranial surgery is rare and difficult to diagnose because Nocardia spp. grow slowly in conventional culture. M...
BACKGROUND: The size of tumour-negative regional lymph nodes (LNnegs) may be associated with the host antitumour immune response in patients with oeso...
BACKGROUND: Minimally invasive surgery has transformed inguinal hernia management; however, its utilization compared to open approaches remains poorly...
BACKGROUND: In pediatric surgical oncology, intraoperative tissue assessment is limited by small specimen size and the absence of real time histopatho...
Soft robotic cardiac sleeves are an emerging class of non-blood-contact mechanical circulatory support devices designed to augment myocardial function...
Perioperative nivolumab significantly improved event-free survival (EFS) compared with placebo in patients with resectable non-small cell lung cancer ...
BACKGROUND: Artificial intelligence (AI) is increasingly used in clinical decision support and perioperative planning, yet its role in anticipating th...