Results 231 to 240 of about 2,085,409 (278)

Enhancing COVID-19 Diagnosis Accuracy and Transparency with eXplainable Artificial Intelligence (XAI) Techniques

, 2023
Malik S, Aggarwal T.
europepmc   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Advancing Water Quality Assessment and Prediction Using Machine Learning Models, Coupled with Explainable Artificial Intelligence (XAI) Techniques Like Shapley Additive Explanations (SHAP) For Interpreting the Black-Box Nature

Results in Engineering
R. K. Makumbura, L. Mampitiya, Namal Rathnayake, D. Meddage, Shagufta Henna, Tuan Linh Dang, Yukinobu Hoshino, U. Rathnayake   +7 more
semanticscholar   +1 more source

Artificial intelligence demonstrates comparable diagnostic accuracy to radiologists for anterior cruciate ligament tears on MRI: A systematic review and meta‐analysis

Knee Surgery, Sports Traumatology, Arthroscopy, Volume 34, Issue 10, Page 3816-3828, October 2026.
Abstract Purpose Anterior cruciate ligament (ACL) tears are among the most common knee injuries, accounting for half of all knee ligament injuries. Magnetic resonance imaging (MRI) is the standard for diagnosing ACL tears, but its interpretation is experience‐dependent.
Gabriel Moraes de Oliveira, Serafina Zotter, Brian Tao, Ana Beatriz Nardelli da Silva, Maria Mascarenhas, Chilan B. G. Leite, Guilherme Almeida, Nacime Mansur, Giovanna Medina   +8 more
wiley   +1 more source

Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework. [PDF]

Cancers (Basel)
Murakami K, Tago SI, Takishita S, Morikawa H, Kojima R, Yokoyama K, Ogawa M, Fukushima H, Takamori H, Nannya Y, Imoto S, Fuji M.   +11 more
europepmc   +1 more source

Accuracy and Consistency of Artificial Intelligence Chatbots in Dental Anatomy Education: A Comparative Study

European Journal of Education, Volume 61, Issue 4, December 2026.
ABSTRACT The potential of Artificial Intelligence (AI), large language models (LLMs) in enhancing dental education emphasises the need for careful selection of AI tools to improve learning outcomes. Therefore, this study evaluates the accuracy and consistency of responses from eight AI chatbots to multiple‐choice questions (MCQs) related to dental ...
Mubashir Baig Mirza, Ali Robaian, Abdullah Saad Alqahtani, Abdullah A. Alqahtani, Khalid K. Alanazi, Mohammed A. S. Abuelqomsan, Shahad AlBader, Hamod Alqahtani, Abdullah AlShehri   +8 more
wiley   +1 more source

Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models. [PDF]

Sci Rep
Moulaei K, Afrash MR, Parvin M, Shadnia S, Rahimi M, Mostafazadeh B, Evini PET, Sabet B, Vahabi SM, Soheili A, Fathy M, Kazemi A, Khani S, Mortazavi SM, Hosseini SM.   +14 more
europepmc   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

Medicinal Research Reviews, Volume 46, Issue 6, Page 1798-1823, November 2026.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

The relative importance of neighborhood environment features in explaining preeclampsia risk using machine learning

Pregnancy, Volume 2, Issue 6, November 2026.
Abstract Introduction Disentangling the role of the neighborhood environment in preeclampsia pathogenesis is crucial for addressing social and structural determinants of pregnancy health. Building on epidemiologic studies demonstrating environmental associations with preeclampsia, we used a machine learning approach to determine the relative importance
Chloé F. Paris, Rachel Ledyard, Allan C. Just, Eugenia C. South, Max Jordan Nguemeni Tiako, Silvia P. Canelón, Heather H. Burris, Joseph D. Romano   +7 more
wiley   +1 more source