Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVES: Intracranial hemorrhage (ICH) is a time-critical neurological emergency in which rapid CT-based assessment directly informs treatment decisions. This study aimed to develop an automated deep-learning pipeline to enhance ICH detection, segmentation, and localization, complemented by clinical decision-making support through a large language model. MATERIALS AND METHODS: The detection mod...
Early caregiving relationships shape the coordination of stress and immune systems, yet their biological correlates in early infancy remain insufficiently understood. This study examined whether attachment relationships are associated with mucosal immune function and stress physiology. Thirty-five infants (mean age = 16.6 months) were classified as securely or insecurely attached using the Strange...
Cervical radiculopathy is one of the common degenerative disorders encountered in spinal surgery. With the continuous advancement of surgical instrume...
In recent years, with the rapid development of medical device and biopharmaceutical technologies, the treatment model of gastric cancer surgery has be...
Amid the developmental wave of "making breakthroughs while inheriting and forging ahead through innovation" in the field of gastrointestinal surgical ...
In the over-century-long history of colorectal tumor surgery, achieving organ function preservation has consistently been a central topic. Currently, ...
Sphincter-preserving therapy for low rectal cancer has always been a difficult and hot topic in colorectal cancer. Advanced understanding of the biolo...
Artificial intelligence (AI) is reshaping the paradigm of clinical surgical field at an unprecedented pace, demonstrating immense potential in areas s...
Gastrointestinal tumors represent a significant global public health challenge, characterized by high incidence and mortality, which reflect the urgen...
Precise preoperative assessment and the development of individualized surgical strategies are critical determinants in minimizing operative risks and ...
Objective: This study processes and analyzes rectal MRI images of patients with mid-to-low rectal cancer using deep learning technology, and integrate...
With the development of artificial intelligence (AI) technology, AI has demonstrated potential in the diagnosis, treatment, and management of gastric ...
OBJECTIVE: Refeeding syndrome (RFS) is a common yet frequently overlooked complication during postoperative nutritional support in patients undergoing...
PURPOSE: Reflex bradyarrhythmias and syncope related to excessive vagal tone may be refractory to conservative therapy and significantly impair qualit...
Breast cancer continues to be a significant worldwide health concern, requiring ongoing improvements in early detection, therapeutic approaches, and c...
BACKGROUND/OBJECTIVES: The consistency of pituitary adenoma (PA) significantly impacts surgical difficulty and the extent of resection. Machine learni...
OBJECTIVE: Lung neuroendocrine neoplasms (L-NENs) are increasingly recognized, yet reliable preoperative assessment of the Ki-67 proliferation index r...
Anastomotic leakage (AL) is a devastating complication of gastrointestinal surgery and a critical source of hospital-acquired infections. This review ...
OBJECTIVES: To develop a robotic system for full crown tooth preparation and to evaluate its preparation accuracy and operation time. METHODS: The rob...
The management of nasopharyngeal carcinoma (NPC), a malignancy with pronounced geographic prevalence in Southeast Asia, is undergoing a paradigm shift...