Results 141 to 150 of about 52,163 (250)

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Generative AI-Driven CNN Framework for Enhanced Lung Cancer Detection, Prediction, and Treatment: A Novel Approach to Overcoming AI Limitations. [PDF]

Int J Biomed Imaging
Bodicherla SS, Natarajasivan D, Reddy MP.   +2 more
europepmc   +1 more source

The spatial learning task of Lhermitte and Signoret: Marker of bilateral hippocampal dysfunction in temporal lobe epilepsy

Epilepsia Open, EarlyView.
Abstract Objective Bilateral hippocampal compromise in temporal lobe epilepsy (TLE) substantially increases the risk of significant adverse memory outcomes following unilateral anterior temporal lobectomy and may contraindicate surgery. The Spatial Learning Task (SLT) of Lhermitte and Signoret (1972) is a simple object–location arbitrary associative ...
Andy Sitoh, David Weintrob, Jacqueline F. I. Anderson, Marie F. O'Shea, Graeme D. Jackson, Piero Perucca, Chris Tailby   +6 more
wiley   +1 more source

A spatial correlation-guided deep fusion framework for multimodal lung cancer classification using CT imaging. [PDF]

Front Med (Lausanne)
Alharbi H.
europepmc   +1 more source

Artificial Intelligence Performance Under Different Conditions in Answering China's Standardized Training Examination for Resident Physician in Radiology: A Comparative Analysis

Health Care Science, EarlyView.
Large language models (LLMs) demonstrated variable proficiency in resident physician in radiology questions, with Gemini‐2.0 showing higher accuracy. Repeated self‐examination of LLMs through the introduction of doubt does not consistently or significantly enhance their performance on radiology‐related questions. ABSTRACT Background The capabilities of
Zheng Zhu, Yanfeng Zhao, Lin Li, Xiaoyi Wang, Yongming Zhang, Xinming Zhao   +5 more
wiley   +1 more source

Assessing the involvement of long-term memory in working memory. [PDF]

Psychon Bull Rev
Pougeon J, Belletier C, Barrouillet P, Camos V.   +3 more
europepmc   +1 more source

Beyond Bidirectionality in Spill‐Overs: Asymmetrical Work‐Life Dynamics and Indigenous Support Systems in a Fragile‐State Military Context

Human Resource Development Quarterly, EarlyView.
ABSTRACT Work‐life balance and work engagement are central concerns in human resource development because they shape employee well‐being, resilience, retention, and sustainable performance across demanding work environments. However, much of the literature on work‐life balance and engagement has been developed in relatively stable civilian and Western ...
Adejumoke Adeoti, Josiah Akintunde, Clement Dabang, Chima Mordi, Babatunde Akanji   +4 more
wiley   +1 more source

Development and External Validation of a Machine Learning Model for Automated Feedback Quality Assessment in Chinese Anesthesiology Residency Training. [PDF]

Adv Med Educ Pract
Yao L, Chen Y, Shen J, Zhang J, Zhang Y, Liang G, Ji Y.   +6 more
europepmc   +1 more source

Materials and Music: Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

Interdisciplinary Materials, EarlyView.
Vibrations in matter, from spider webs to molecules, water to flames, share a grammar with music. We propose that creativity emerges when constraints force expansion beyond existing possibilities. Selective imperfection restores balance, enabling invention.
Markus J. Buehler
wiley   +1 more source

An automated framework for qur'anic education of the hearing-impaired using body pose classification and Arabic sign language integration. [PDF]

Sci Rep
AbdElghfar H, Youness HA, Wahba M, Abdelaal HM.   +3 more
europepmc   +1 more source