Results 141 to 150 of about 99,855 (366)

Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity [PDF]

arXiv
Despite the advancement of deep learning-based computer-aided diagnosis (CAD) methods for pneumonia from adult chest x-ray (CXR) images, the performance of CAD methods applied to pediatric images remains suboptimal, mainly due to the lack of large-scale annotated pediatric imaging datasets.
arxiv  

Long‐Term Particulate Matter Exposure May Increase Risk of Chronic Rhinosinusitis WIth Nasal Polyposis: Results from an Exposure‐Matched Study

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Particulate matter ⩽2.5 µm in diameter (PM2.5) and its role in chronic rhinosinusitis (CRS) pathogenesis have gained heightened attention. We previously demonstrated that PM2.5 exposure may bias the nasal mucosa in CRS toward a Type 2 inflammatory pathway.
Rory J. Lubner, Mason Krysinski, Ping Li, Rakesh K. Chandra, Justin H. Turner, Naweed I. Chowdhury   +5 more
wiley   +1 more source

Management of children with acute gastroenteritis in the pediatric district (recommendations of the ESPGHAN-2014)

Медицинский совет, 2016
In 2008, the European Society of Pediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) in conjunction with the European Society for Paediatric Infectious Diseases (ESPID) published guidelines for the management of acute gastroenteritis in ...
A. Guarino, I. N. Zakharova, N. G. Sugyan   +2 more
doaj   +1 more source

Sex‐Based Disparities in Sinonasal Outcomes: A Population‐Based Study

International Forum of Allergy &Rhinology, EarlyView.
Victoria S. Lee, Anthony I. Dick, Khamis T. Suleiman, Jiehuan Sun, Sharmilee M. Nyenhuis, Kamal Eldeirawi   +5 more
wiley   +1 more source

FDA Recalls of Image Guidance Systems for Sinus and Skull Base Surgery, 2003–2024

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Surgeons use stereotactic image guidance systems (IGS) to help navigate complex anatomy. However, the FDA has received reports of IGS malfunction linked to operative delays and complications. We investigated FDA recalls of IGS between 2003 and 2024.
Thriaksh Rajan, Rodney J. Schlosser, Zachary M. Soler, Patrick Walz, Kyle C. Wu, Ralph B. Metson, Stacey T. Gray, Alan D. Workman, Vinay K. Rathi   +8 more
wiley   +1 more source

Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models [PDF]

arXiv
Recent advancements in deep learning for Medical Artificial Intelligence have demonstrated that models can match the diagnostic performance of clinical experts in adult chest X-ray (CXR) interpretation. However, their application in the pediatric context remains limited due to the scarcity of large annotated pediatric image datasets.
arxiv  

PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models [PDF]

The emergence of Large Language Models (LLMs) in the medical domain has stressed a compelling need for standard datasets to evaluate their question-answering (QA) performance. Although there have been several benchmark datasets for medical QA, they either cover common knowledge across different departments or are specific to another department rather ...
arxiv   +1 more source

Expert Strategies: Skull Base Reconstruction—Global Perspectives, Insights, and Algorithms through a Mixed Methods Approach

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Objective There is limited consensus on endoscopic skull base surgery (ESBS) reconstruction principles. This study aims to generate comprehensive themes regarding ESBS reconstruction by pooling the experiences of ESBS experts, with comparison to a literature review of current published evidence.
Edward C. Kuan, Vidit Talati, Jagatkumar A. Patel, Theodore V. Nguyen, Arash Abiri, Jonathan C. Pang, Khodayar Goshtasbi, Lauren Liu, John R. Craig, Peter Papagiannopoulos, Katie M. Phillips, Bobby A. Tajudeen, Nithin D. Adappa, James N. Palmer, Ahmad R. Sedaghat, Eric W. Wang, Vijay Anand, Pete S. Batra, Marvin Bergsneider, Manuel Bernal‐Sprekelsen, Benjamin S. Bleier, Paolo Cappabianca, Ricardo L. Carrau, Roy R. Casiano, Paolo Castelnuovo, Luigi M. Cavallo, Marc A. Cohen, Iacopo Dallan, Jean Anderson Eloy, Ivan H. El‐Sayed, James J. Evans, Juan C. Fernandez‐Miranda, Marco Ferrari, Sebastien Froelich, Paul A. Gardner, Christos Georgalas, Stacey T. Gray, Ehab Y. Hanna, Richard J. Harvey, Sang Duk Hong, Peter H. Hwang, Daniel F. Kelly, Doo‐Sik Kong, Ming‐Ying Lan, John Y. K. Lee, Corinna G. Levine, James K. Liu, Davide Locatelli, Cem Meço, Erin L. McKean, Piero Nicolai, Gurston G. Nyquist, Kazuhiro Omura, Thibault Passeri, Zara M. Patel, Maria Peris Celda, Carlos Pinheiro Neto, Danny M. Prevedello, Mindy R. Rabinowitz, Shaan M. Raza, Pablo F. Recinos, Marc R. Rosen, Zoukaa B. Sargi, Rodney J. Schlosser, Theodore H. Schwartz, Raj Sindwani, Carl H. Snyderman, Aldo C. Stamm, Brian D. Thorp, Mario Turri‐Zanoni, Marilene B. Wang, Wei‐Hsin Wang, Ian J. Witterick, Tae‐Bin Won, Bradford A. Woodworth, Peter‐John Wormald, Gabriel Zada, Shirley Y. Su   +77 more
wiley   +1 more source

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models [PDF]

arXiv
Background and Aims: This study evaluates the medical reasoning performance of large language models (LLMs) and vision language models (VLMs) in gastroenterology. Methods: We used 300 gastroenterology board exam-style multiple-choice questions, 138 of which contain images to systematically assess the impact of model configurations and parameters and ...
arxiv  

Editorial: Insights in pediatric gastroenterology, hepatology and nutrition: 2022. [PDF]

Front Pediatr, 2023
Day AS.
europepmc   +1 more source