Results 251 to 260 of about 188,631 (352)

Telemedicine as a Lifeline: Addressing Mental Health Challenges in Pregnancy and Early Motherhood

Medicine Advances, EarlyView.
This illustration highlights four key benefits of telemedicine in perinatal mental health: remote psychological care, digital therapies and AI triage, privacy‐preserving access, and support for underserved populations. Together, these tools promote timely, personalized, and equitable care during pregnancy and the early postpartum period.
Tiago Cunha Reis
wiley   +1 more source

Streamlining urology cancer multidisciplinary team meetings: Implementation and outcomes. [PDF]

BJUI Compass
Arang H, Pratt A, Parappan MR, Syed MN, Abbaraju J, Banerjee S, Madaan S.   +6 more
europepmc   +1 more source

Understanding and conceptualising the document triage process through information seekers' visual and navigational attention

, 2012
Fernando Loizides
openalex   +1 more source

Beliefs about and approaches to youth suicide risk screening and triage in primary care: a qualitative analysis

Lauren M. O’Reilly, Davis Meadors, Brigid R. Marriott, Leslie Hulvershorn, Matthew Aalsma   +4 more
openalex   +1 more source

What Is Required for AI to Improve the Assessment and Treatment of Patients With Lower Urinary Tract Dysfunction? ICI‐RS 2025

Neurourology and Urodynamics, EarlyView.
ABSTRACT Introduction Artificial intelligence (AI) is poised to improve the diagnosis and management of lower urinary tract dysfunction (LUTD). Its effective deployment requires prioritization, regulatory oversight, rigorous validation, and clinician and patient engagement.
Glenn T. Werneburg, Michel Wyndaele, John E. Speich, Enrico Finazzi Agro, Mo Belal, Sachin Malde, George Bou Kheir, Emre Huri, Arjun K. Nambiar, Giovanni Mosiello, Riccardo Lombardo, Phil Toozs‐Hobson, Christopher R. Chapple, Alan J. Wein, Paul Abrams, Kevin Rademakers   +15 more
wiley   +1 more source

Multi-method approach to the development of contextual telephone triage systems. [PDF]

Afr J Emerg Med
Stassen W.
europepmc   +1 more source

Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model [PDF]

Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Ido Dagan   +4 more
openalex   +1 more source

Deep learning‐based H&E‐derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response

The Journal of Pathology, EarlyView.
Abstract Over recent years, several deep learning (DL) models have been presented to predict colorectal cancer (CRC) patient survival directly from haematoxylin and eosin (H&E)‐stained routine whole‐slide images (WSIs). Unlike traditional studies that rely on manually defined histopathological features, weakly supervised DL allows training directly on ...
Nic G Reitsam, Xiaofeng Jiang, Junhao Liang, Bianca Grosser, Veselin Grozdanov, Chiara ML Loeffler, Marco Gustav, Tim Lenz, Hannah S Muti, Zunamys I Carrero, Nicholas P West, Philip Quirke, Sebastian Foersch, Moritz Jesinghaus, Wolfram Müller, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Jitendra Jonnagaddala, Nicholas J Hawkins, Robyn L Ward, Heike I Grabsch, Bruno Märkl, Jakob N Kather   +23 more
wiley   +1 more source

Comparing Older Adults Assigned a Low Acuity Triage Score to Their Younger Counterparts in the Emergency Department: A Review of Patient Characteristics and Outcomes. [PDF]

Cureus
Furlong K, Price R, Brannan V, Devasahayam AJ, Mercer S, Yi Y, Rogers P, Babb K, Parsons MH.   +8 more
europepmc   +1 more source

Hierarchical Clustering of Human Papilloma Virus Genotype Patterns in the ASCUS-LSIL Triage Study

, 2010
Nicolas Wentzensen, Lauren E. Wilson, Cosette M. Wheeler, Joseph D. Carreon, Patti E. Gravitt, Mark Schiffman, Philip E. Castle   +6 more
openalex   +2 more sources