Results 111 to 120 of about 94,231 (266)

ENCEVIS: Evaluating the feasibility of an AI‐based algorithm as an assistant to neurophysiologists in clinical practice

Epilepsia Open, EarlyView.
Abstract Objective This study evaluated the performance of the ENCEVIS artificial intelligence (AI)‐based algorithm as a screening tool to predict the presence of ictal and/or interictal epileptiform discharges (IEDs) in electroencephalography (EEG) recordings.
Aleksandre Tsereteli, Natela Okujava, Nikoloz Malashkhia, Tamar Sakvarelidze   +3 more
wiley   +1 more source

How to report neurotechnology and artificial intelligence studies in epilepsy: Peer‐review‐inspired recommendations

Epilepsia Open, EarlyView.
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana, Matthew McWilliam, Andrea Biondi, Jesus Servando Medel‐Matus, Naoto Kuroda, Giulia Sofia Cereda, Aristea S. Galanopoulou   +6 more
wiley   +1 more source

An open-source optimization model for sustainable open-pit mine production scheduling. [PDF]

Front Artif Intell
Lotsu JS, Bimpong GY, Boakye K.
europepmc   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Comparative screening accuracy of the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-Chat-R/F) for early autism spectrum disorder: a systematic review. [PDF]

Fam Med Community Health
Tsen ASF, Bantalani MA, Ab Rahim MN, Amat SZA, Mokti K.   +4 more
europepmc   +1 more source

Integrated Solar and Wind Energy Systems for Domestic Power Generation and CO2 Emissions Reduction

Energy Science &Engineering, EarlyView.
A well‐structured and sequentially methodical procedure for evaluating the Wind and Photovoltaic Hybrid Energy System‐based technical, environmental, and economic viability. This study investigates the integration of solar photovoltaic(PV) and wind energy systems for domestic electricity generation in the Gaza Strip.
Mohamed Elnaggar, Mai Abuhelwa, Wael A. Salah, Aamir Bashir Taas, Hala J. El‐Khozondar, Yasser F. Nassar, Ahmad Aboul Khail, Alfian Ma'arif, Mohammed J. K. Bashir, Abdurrahman A. Mattar   +9 more
wiley   +1 more source

Clinical and Imaging Characteristics in the Diagnosis and Surgical Management of Nipple Discharge Without Clinically Palpable Masses: A Retrospective Cohort Study. [PDF]

Thorac Cancer
Yang Y, Lin T, Li J, Yang H, Xie F, Wang S, Chen D, Wang S, Chen L, Liu M.   +9 more
europepmc   +1 more source

Development of a prognostic scoring system for systemic inflammatory response syndrome in donkeys

Equine Veterinary Journal, EarlyView.
Abstract Background Systemic inflammatory response syndrome (SIRS) is associated with increased mortality in horses with gastrointestinal (GI) disease. However, there are no data relating to naturally occurring SIRS in donkeys. Objectives To determine SIRS frequency in donkeys with GI disease. To develop a donkey‐specific prognostic SIRS score.
Marine A. Barnabé, Nicholas J. Bamford, Jonathan Elliott, Yu‐Mei Chang, Karen Rickards, Nicola J. Menzies‐Gow   +5 more
wiley   +1 more source

Enhancing urothelial carcinoma diagnosis with artificial intelligence-integrated urine cytology: Biopsy-validated accuracy and efficiency gain. [PDF]

Cancer Cytopathol
Lajara S, Cuda J, Geisler DL, Staniszewski C, Yang WL, Atkison K, Lin CY, Shao G, Liu TJ, Crothers B, Dhir R, Khader SN.   +11 more
europepmc   +1 more source

Clinical, Radiologic and Cytologic Predictors of Malignancy in Pediatric Thyroid Nodules: Insights From a 26‐Year Cohort Study

Head &Neck, EarlyView.
ABSTRACT Introduction Thyroid nodules are less common but more often malignant in pediatric patients than in adults. Our objectives were to study the features of benign vs. malignant thyroid nodules in a large pediatric patient cohort. Methods Retrospective observational cohort study. Consecutive patients aged 0.01–17.9 years at evaluation between 1997–
Maxime Gest‐Laurent, Adrien Nguyen Quoc, Christine Lefevre, Laura González‐Briceño, Caroline Thalassinos, Isabelle Flechtner, Dulanjalee Kariyawasam, Yamina Dassa, Magali Viaud, Dinane Samara‐Boustani, Graziella Pinto, Hervé Monpeyssen, Sabine Sarnacki, Vincent Couloigner, Michel Polak, Athanasia Stoupa   +15 more
wiley   +1 more source