Catarina Barata
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AI assistance enables surgical residents to accurately annotate anatomical structures in laparoscopic surgery
Abstract Background The development of artificial intelligence in surgery is limited by the scarcity of annotated datasets. Recent advances in medical image segmentation, such as the Medical Segment Anything Model (MedSAM), may facilitate efficient annotation of surgical videos by residents. Methods Eight surgical residents annotated intra-abdominal structures from two laparoscopic datasets using MedSAM.
Smartphone Applications in Dermatology With Special Focus on AI: A European-Continent-Based Review
1 Introduction Over the past decades, the widespread adoption of smartphones has transformed access to health information and digital health tools. As of 2025, approximately half a billion individuals in Europe own a smartphone, representing nearly 90% of the adult population [1]. In parallel, the development and availability of mobile health software applications (apps) have expanded significantly, with a growing focus on dermatology [2].
Computer Science > Computer Vision and Pattern Recognition
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