Latest AI and machine learning research in surgery for healthcare professionals.
PURPOSE: The increased use of artificial intelligence (AI)-based writing tools may influence academic writing styles. This study aimed to evaluate changes in writing styles in Japanese surgical journals using quantitative time-series analysis. METHODS: We analyzed articles published between 2015 and 2025 in Surgery Today and Surgical Case Reports. The writing style was quantified using predefined ...
BACKGROUND: This retrospective feasibility study aimed to develop an artificial intelligence-powered surgical model capable of recognizing key anatomical structures, tools, and surgical phases during minimally invasive adrenal surgery, and to assess its clinical applicability. The system has potential to enhance procedural safety and support training for adrenal operations, which are performed rel...
BACKGROUND: Operating room (OR)-to-intensive care unit (ICU) handoffs are among the most complex and high-risk communication events in perioperative c...
BACKGROUND: Chronic post-operative inguinal pain (CPIP) is a significant complication following inguinal hernia repair. Evidence on the surgical facto...
The surgical procedures for primary lung cancer and metastatic lung tumors differ. An intraoperative diagnosis is important for surgical procedure dec...
BACKGROUND: Dental anxiety adversely affects receiving dental care when needed. Artificial intelligence (AI)-enabled and digital technology-assisted i...
Autonomous robotic-assisted surgery (RAS) has emerged as a promising objective in biomedical technology, further enhanced by miniaturization toward mi...
Predictive tools made possible by advances in machine learning techniques may help clinicians make more accurate decisions about who should be allocat...
The swift progress of digital and sensor technologies is hastening the incorporation of remote monitoring into anesthesiology. While several reviews h...
BACKGROUND: Bronchopulmonary dysplasia (BPD) remains a major complication of extreme prematurity, but diagnosis and severity classification have becom...
Despite the obligation imposed by national and international accreditation standards to periodically verify reference intervals against local conditio...
OBJECTIVES: To develop and interpret a predictive model that detects key factors associated with nurses' intention to rectify online health misinforma...
OBJECTIVE: The American Board of Surgery In-Training Examination (ABSITE) assesses surgical resident knowledge, but manual analysis of program-wide da...
Adolescent idiopathic scoliosis (AIS) surgery requires precise fusion segment selection and reliable prediction of postoperative alignment, yet curren...
BACKGROUND: We have developed gastric cancer/gastrectomy artificial intelligence (gAI) that leverages the tacit knowledge of experienced surgeons to v...
BACKGROUND: The integration of artificial intelligence (AI) and large language models (LLMs) into surgical practice is increasingly being explored, bu...
BACKGROUND: Metabolic-bariatric surgery is an efficient therapy in selected adolescents with severe obesity. However, predicting the postoperative wei...
IMPORTANCE: Understanding how upper extremity (UE) robotic therapy (RT) affects efficiency and effectiveness of inpatient rehabilitation is important ...
INTRODUCTION: The integration of robots into clinical practice requires careful consideration of their alignment with nursing workflows, patient needs...
Purpose To evaluate the value of a nomogram model incorporating clinical parameters, hematologic inflammatory biomarkers, and MRI radiomic features in...