Results 231 to 240 of about 533,074 (342)

More than meets the eye: The hidden burden of temporary feeding tubes on children and their families

open access: yesNutrition in Clinical Practice, EarlyView.
Abstract Background Although pediatric temporary (e.g., nasogastric) feeding tubes are widely used for short‐term nutrition support, family impacts remain poorly defined. Research from long‐term (e.g., gastrostomy) feeding tubes does not generalize because management and burdens differ. This study aimed to explore the financial, time and family burdens
Claire Reilly   +5 more
wiley   +1 more source

Classification of Salivary Gland Tumors on Ultrasound Using Artificial Intelligence: A Systematic Review and Meta‐Analysis

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Accurate classification of salivary gland tumors is critical to guiding appropriate management. This study evaluates the diagnostic performance of artificial intelligence models in classifying salivary gland tumors on ultrasound. Data Sources A comprehensive search of CINAHL, PubMed, and Scopus was conducted through January 28, 2025.
Isabelle J. Chau   +5 more
wiley   +1 more source

Metamorphoses in pancreatic cancer precursors: the role of simple mucinous cysts†

open access: yesThe Journal of Pathology, EarlyView.
Abstract Pancreatic cystic lesions present a unique opportunity to identify and potentially prevent pancreatic ductal adenocarcinoma (PDAC), one of the deadliest solid tumors. Until now, research has primarily focused on intraductal papillary mucinous neoplasms (IPMNs) and mucinous cystic neoplasms (MCNs), whose potential for malignant transformation ...
Paolo Riccardo Camisa   +3 more
wiley   +1 more source

Dynamics of the intratumoural microbiome across malignant transformation and treatment in breast cancer. [PDF]

open access: yesClin Transl Med
Quan L   +10 more
europepmc   +1 more source

Integrating artificial intelligence (AI) into colorectal cancer reporting

open access: yesThe Journal of Pathology, EarlyView.
Abstract Artificial intelligence (AI) and deep learning (DL) are transforming cancer research and clinical care, with histopathology playing a central role in this transformation. In colorectal cancer (CRC), the second leading cause of cancer mortality world‐wide, multimodal and vision‐language models (VLMs) hold particular promise for enhancing the ...
Konstantin Bräutigam   +4 more
wiley   +1 more source

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