AIMC Topic: Surgeons
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Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities.
International journal of computer assisted radiology and surgery
May 31, 2025
PURPOSE: Automated surgical phase recognition (SPR) uses artificial intelligence (AI) to segment the surgical workflow into its key events, functioning as a building block for efficient video review, surgical education as well as skill assessment. Pr...
A deep learning model combining circulating tumor cells and radiological features in the multi-classification of mediastinal lesions in comparison with thoracic surgeons: a large-scale retrospective study.
BMC medicine
May 7, 2025
BACKGROUND: CT images and circulating tumor cells (CTCs) are indispensable for diagnosing the mediastinal lesions by providing radiological and intra-tumoral information. This study aimed to develop and validate a deep multimodal fusion network (DMFN...
The AI-enhanced surgeon - integrating black-box artificial intelligence in the operating room.
International journal of surgery (London, England)
Apr 1, 2025
New artificial intelligence (AI)/machine learning (ML) technology offers great potential to assist surgeons with real-time intra-operative decision-making. While, AI/ML-driven analysis tools for surgeons currently focus primarily on technical assista...
German surgeons' perspective on the application of artificial intelligence in clinical decision-making.
International journal of computer assisted radiology and surgery
Feb 5, 2025
PURPOSE: Artificial intelligence (AI) is transforming clinical decision-making (CDM). This application of AI should be a conscious choice to avoid technological determinism. The surgeons' perspective is needed to guide further implementation.
Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI).
Langenbeck's archives of surgery
Jan 28, 2025
PURPOSE: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.
National survey on data governance and digital surgery: Challenges and opportunities for surgeons in the era of artificial intelligence.
Cirugia espanola
Jan 21, 2025
INTRODUCTION: This study evaluates the knowledge of Spanish surgeons regarding data governance and Digital Surgery, their usage, errors, and training deficiencies, as well as differences in knowledge between those who perform robotic surgery and thos...
ChatGPT vs. surgeons on pancreatic cancer queries: accuracy & empathy evaluated by patients and experts.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Dec 3, 2024
BACKGROUND: Artificial intelligence (AI) offers potential support in patient-clinician interactions, but its impact on such communication remains unexplored.
Impact of an AI-based laparoscopic cholecystectomy coaching program on the surgical performance: a randomized controlled trial.
International journal of surgery (London, England)
Dec 1, 2024
BACKGROUND: Laparoscopic cholecystectomy (LC) is the gold standard for treating symptomatic gallstones but carries inherent risks like bile duct injury. While the critical view of safety (CVS) is advocated to mitigate bile duct injury, its real-world...
Impact of artificial intelligence on the training of general surgeons of the future: a scoping review of the advances and challenges.
Acta cirurgica brasileira
Sep 20, 2024
PURPOSE: To explore artificial intelligence's impact on surgical education, highlighting its advantages and challenges.
Machine Learning on 50,000 Manuscripts Shows Increased Clinical Research by Academic Cardiac Surgeons.
The Journal of surgical research
Sep 18, 2024
INTRODUCTION: Academic cardiac surgeons are productive researchers and innovators. We sought to perform a comprehensive machine learning (ML)-based characterization of cardiac surgery research over the past 40 y to identify trends in research pursuit...
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