Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
Intraoperative injury of the obturator nerve may occur in gynecologic oncologic procedures when extensive pelvic side wall dissection is performed. In this case, we report an immediate repair of an incompletely transected obturator nerve during robotic-assisted pelvic lymphadenectomy. A 62-year-old gravida 3, para 3 woman was admitted to our clinic for postmenopausal bleeding. The result of an end...
Laparoscopic cholecystectomy is widely considered as the treatment of choice for acute cholecystitis. The safety of the procedure and its minimal invasiveness made it a valid treatment option for a patient not responding to antibiotic therapy. Our research shows that patients positively assess this treatment method, but the world's tendency is to turn to a more sophisticated method utilizing robot...
We present a general framework for analysis of wireless capsule endoscopy (CE) studies. The current available workstations provide a time-consuming an...
PURPOSE: A global endoscopic view of the surgical field could help avoid complications such as perforation of occluded organs and may reduce the endos...
Early and timely screening of laryngeal cancer is crucial for improving clinical outcomes. In recent years, NBI endoscopy has become a standard diagno...
Endoscopic visual question answering (VQA) increasingly asks complex questions that combine several endoscopic answer components rather than isolated ...
Healthcare multimodal AI must combine visual and textual evidence while remaining reliable and interpretable. Using MediaEval Medico 2025 as a retrosp...
Chromoendoscopy (CE) is a common clinical practice that sprays indigo carmine blue dye onto the gastric surface to improve the visibility of gastric l...
Accurate differentiation between gastric adenoma and carcinoma during endoscopy is critical for clinical decision-making. Yet, this task is highly cha...
Objectives: Explore the perspectives of primary caregivers towards pediatric tissue-based research participation. Design: Cross-sectional. Setting: Tw...
Referring Image Segmentation (RIS) aims to segment image regions specified by natural language, enabling fine-grained and controllable visual understa...
Personalizing text-to-image diffusion models to render several specific subjects in a coherent image remains challenging: the model must preserve each...
How robust and generalisable are pathology foundation models and have their scaling limites been reached? We benchmarked twelve pathology foundation m...
Background and Aims: Endoscopic artificial intelligence is commonly validated on selected single images, whereas gastric cancer interpretation require...
Accurate protein-protein interaction (PPI) prediction is central to functional genomics, disease mechanism discovery, and drug development. A difficul...
Protein-protein interactions (PPIs) are central to biological processes. Designing small molecules that modulate dysregulated PPIs holds strong promis...
Vision-language models (VLMs) are prone to hallucination, which remains a major barrier to their safe deployment in clinical practice. To date, most h...
Endoscopic video analysis is essential for gastrointestinal diagnosis and computer-assisted interventions, but video sequences are routinely degraded ...
Accurate vision-based navigation in monocular endoscopy is difficult due to limited depth cues, weak tissue texture, non-rigid deformation, and substa...
Viral phenotypes such as host and tissue tropism are critical determinants of viral infection and transmission. Inferring viral phenotypes presents un...