Results 181 to 190 of about 51,786 (296)

Natural Language Processing (NLP) in Artificial Intelligence

World Journal of Advanced Research and Reviews
Natural language processing (NLP) which is a branch of Artificial Intelligence (AI) has experienced significant improvement in the recent past to allow machines to language comprehend and generate. They consist of uses like machine translation, sentiment analysis, chatbots, and virtual assistants, which form a cornerstone part of life.
openaire   +2 more sources

Beyond Traditional Screening: The Future of Heart Failure Detection With Biomarkers and AI

iNew Medicine, EarlyView.
Advancing HF Screening: Integrating Technology and Risk Factors Across Eras. This diagram provides a comprehensive review of the historical developments and projected trends of heart failure (HF) screening methodologies, with the prevalent risk factors for HF depicted at the base.
Xiaofeng Fang, Yinbo Xu, Yiting Zhao, Liuyi Li, Zhengyi Cheng, Zhongqi Zhang, Yuhang Luo, Qiaoling Liu, Chen Gong, Shichun Shen   +9 more
wiley   +1 more source

Natural Language Processing (NLP): Identifying Linguistic Gender Bias in Electronic Medical Records (EMRs). [PDF]

J Patient Exp
Xu S, Sun M.
europepmc   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source

Can Natural Language Processing (NLP) Provide Consultancy to Patients About Edentulism Teeth Treatment? [PDF]

Cureus
Güzelce Sultanoğlu E.
europepmc   +1 more source

A Review of Natural Language Processing for Historical Texts

, 2014
LINGUIST List issue 25.292 features a review of my book Natural Language Processing for Historical Texts by Bev Thurber. I was very happy to read that she thinks that the book is “a good overview of recent progress and problems in applying techniques ...
Michael Piotrowski
core  

Artificial intelligence in traumatic stress treatment: The TRUST framework for ethical development, clinical applications, and research advancement

Journal of Traumatic Stress, EarlyView.
Abstract Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence‐based interventions to reduce symptomology. However, trauma populations face significant access barriers that limit their adoption and reach.
Leigh E. Ridings, Philip Held, Eric Kuhn, Shannon Wiltsey‐Stirman   +3 more
wiley   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

DERMACLEAR: AI‐Powered Insights Into Four Chronic Inflammatory Skin Diseases in Spain

JEADV Clinical Practice, EarlyView.
Using an AI‐enhanced analysis of electronic health records from nearly 50,000 patients, the DERMACLEAR study provides real‐world insights into the prevalence, clinical complexity, comorbidities and treatment patterns of HS, CU, PsO and AD in Spain.
Ana Giménez‐Arnau, Javier Ortiz de Frutos, Raquel Rivera‐Díaz, Lluís Puig, Jaume Notario Rosa, José Luis López‐Estebaranz, Vicente García‐Patos Briones, Ana Martín‐Santiago, José Ignacio Rojo‐Laguna, Elisabet Fernández‐Martínez, Lara Gómez‐Labrador, Esteban Daudén   +11 more
wiley   +1 more source

Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT). [PDF]

Psychol Med
Zainal NH, Eckhardt R, Rackoff GN, Fitzsimmons-Craft EE, Rojas-Ashe E, Barr Taylor C, Funk B, Eisenberg D, Wilfley DE, Newman MG.   +9 more
europepmc   +1 more source