Results 201 to 210 of about 82,529 (316)

Natural Language Processing of Clinical Notes for Cancer Research and Patient Care Prior to Widespread Adoption of Generative AI: Scoping Review. [PDF]

JMIR AI
Kayira AB, Elyazori HRA, Lybarger K, Walter FM, Chelala C, Funston G.   +5 more
europepmc   +1 more source

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

Transformer-based NLP approaches for credit risk prediction: a systematic review. [PDF]

Front Artif Intell
Raliphada P, Olukanmi S, Olusanya 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

Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports. [PDF]

Am Heart J Plus
Brown SA, BagheriMohamadiPour M, Sparapani R, Osinski K, Zhang J, Echefu G, Stowe I, Hamid A, Kothari A, Cardio-Oncology Artificial Intelligence Informatics Precision & Equity (CAIPE) Research Team Investigators.   +9 more
europepmc   +1 more source

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

Trends in the use of adult-specific preference-weighted health-related quality of life instruments in clinical trials over the past 50 years: a protocol for a meta-research study using deep learning-based natural language processing and large language models. [PDF]

BMJ Open
Srikhom S, Devlin N, Nghiem N, Nolte S, Vo V, Tran-Duy A.   +5 more
europepmc   +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

<i>C. elegans</i> somatostatin/allatostatin C signaling regulates sleep, metabolism, survival, and memory via a sleep-active neuron. [PDF]

Sci Adv
Park B, Mohsen L, Busack I, Uhlig L, Rossi L, Pollmeier G, Geens E, Istiban MN, Mandal S, Savio RD, Beets I, Stetak A, Bringmann H.   +12 more
europepmc   +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