Results 211 to 220 of about 41,998 (282)

Differences in organizational impact, performance and quality related to the use of single- and/or reusable bronchoscopes in anesthesiology and resuscitation. [PDF]

Glob Reg Health Technol Assess
Tozzi P, Bruno K, Polito G, Del Bianco A, Frasacco B, Pugliese F.   +5 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Sustained success in endoscopic performance demonstrated by the Irish National Endoscopy Quality Improvement Programme

Endoscopy International Open
Eoin Keating, Eoin Slattery, Karen Hartery, Glen Doherty, Conor Canavan, Jan Leyden   +5 more
doaj   +1 more source

Eating Experiences of Patients With Cancer in the Hospital - A Qualitative Study. [PDF]

J Hum Nutr Diet
van Elst JM, Beukers K, Beijer S, Janssen-Heijnen M, Reyners AKL, Jager-Wittenaar H, de Haan JJ.   +6 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Development of a national root cause analysis system for post-endoscopy upper gastrointestinal cancer

Endoscopy International Open
Amar Srinivasa, Rebeca Fiadeiro, Tim Gentry, Shilpi Goel, Tameera Rahman, Karen Clements, Warren Chapman, Nicholas Burr, Dipankar Mukherjee, Matthew Banks, Mimi McCord, Anjan Dhar, Roland Valori, Nigel Trudgill   +13 more
doaj   +1 more source

Impact of home-based port infusion versus hospital-based peripheral infusion on anxiety, quality of life, and emergency visits in gastrointestinal cancer: a prospective observational study by the Turkish Oncology Group (TOG). [PDF]

Support Care Cancer
Cetin OA, Karaoglu T, Alkan A, Yavuzsen T, Tanriverdi O.   +4 more
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Vade Mecum in ERCP, a roadmap to success: Tips from experts for excelling in ERCP

Endoscopy International Open
Sara Teles de Campos, Marianna Arvanitaki, Ivo Boskoski, Jacques Deviere   +3 more
doaj   +1 more source

'You get a different mindset' - primary care physicians' perceptions of interprofessional medication reviews for patients living independently. [PDF]

Scand J Prim Health Care
Dobszai A, Modig S, Lenander C, Borgström Bolmsjö B.   +3 more
europepmc   +1 more source