Frontiers in Artificial Intelligence

Original Research

Accepted on 13 Nov 2026

Growth OS: A Human-Gated Orchestration Layer for Cross-Platform Marketing Content Publishing, with a Preliminary Benchmark of Pre-Publication Engagement Prediction

in AI in Business

Hrishikesh Chandrashekhar Shiralaskar
Chetan Puri
Adnan Shaikh
Raunak Kumar

Frontiers in Artificial Intelligence

Systematic Review

Accepted on 13 Nov 2026

A Taxonomy of Dark Moves in Human-AI Interaction: A Systematic Review of User Perceptions of Deceptive or Misleading Conversational AI

in Machine Learning

Cristina Maria Tofan
Mihaela Constantinescu
Cristina Voinea
Jakub Figura
Kacper Poradzisz
Alexandra Zorila
Oana Alexandra Ceocea
Serhiy Kandul
Lavinia Iuliana Țânculescu-Popa
Alexandru Dancu

Frontiers in Artificial Intelligence

Correction

Accepted on 13 Nov 2026

Authorship change

in Medicine and Public Health

Andreas Kanavos

Frontiers in Artificial Intelligence

Brief Research Report

Accepted on 13 Nov 2026

PhysioExercise GPT in Exercise Physiology Education: Cognitive-Level Performance and Six-Month Follow-up in a Previously Studied Cohort

in AI for Human Learning and Behavior Change

Roque Ribeiro Da Silva Junior
Larissa Nayara de Souza
Gilson Aquino Cavalcante
Luciana Veras de Aquino Figueirôa
Fernando Liberalino Fernandes
José Antonio Da Silva Júnior
Marina Beatriz Almeida Mota
Amanda Estevan Carvalho
Rackel Gurgel Hipólito
Guilherme Braga Silva Lima

Frontiers in Artificial Intelligence

Original Research

Published on 13 Nov 2026

Enhanced FusionNet: a deep learning structure for multimodal input-based emotion-aware deepfake speech identification

in Machine Learning

Bhargavi Anumula
Anil V. Turukmane

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1978052

330 views

Review

Published on 13 Nov 2026

Vision-based driver distraction classification: a comprehensive survey of deep learning methods, evaluation protocols, and deployment challenges

in Machine Learning

Abirami Namachivayam
Nirmala Paramanandham

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1947476

548 views

Original Research

Published on 13 Nov 2026

Bayesian CNN-transformer hybrid architecture for uncertainty-aware intermittent fault detection in WSNs

in Machine Learning

P. Iswarya
K. Manikandan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1951754

297 views

Original Research

Accepted on 12 Nov 2026

CellShift-X: A Computational Intelligence Framework for Detecting Novel Cell Identities and Rare Cell States Under Biological Distribution Shift

in Medicine and Public Health

Mohammad Alam

Frontiers in Artificial Intelligence

144 views

Systematic Review

Accepted on 12 Nov 2026

Artificial Intelligence and Machine Learning–Driven Predictive Models for Arrhythmia Risk Prediction and Sudden Cardiac Death Stratification: A Systematic Review and Meta-Analysis

in Medicine and Public Health

Faizan Ahmed
Unaiza Iftikhar
Ayesha Zulfiqar
Arsalan Ahmed
Taha Alam
Sheraz Qasim
Muhammad Ahmad Sadiq
Asad Ullah Farooq
Faseeh Haider
Gabriel Benjamin

Frontiers in Artificial Intelligence

172 views

Original Research

Accepted on 12 Nov 2026

Expectations Versus Recognition in the Use of Artificial Intelligence-Assisted Drug-Drug Interaction Detection: A Multicenter Survey of Physicians

in Medicine and Public Health

Mohammad F. Allahham
Jana Faroun
Musab Basem Dwaik
Haya Mustafa
Nathalie AbdelRahman
Khaled Alhashlamone
Shahad Abu Ahmad
Bilal Aqel
Maher Abohasana
Roaa Turkman

Frontiers in Artificial Intelligence

126 views

Original Research

Accepted on 12 Nov 2026

Hybrid Deep Learning with Adaptive Bezier Curve-Based Stroke Extraction for Signature Verification

in Pattern Recognition

Tamizharasi R
Jasmin Pemeena Priyadarsini M

Frontiers in Artificial Intelligence

140 views

Original Research

Published on 12 Nov 2026

Graph retrieval-augmented generation for legal academic viewpoint question answering: knowledge-graph retrieval, evaluation, and hallucination analysis

in Technology and Law

Jia Liu
Jianhao Tang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1922684

560 views

Original Research

Published on 12 Nov 2026

Sample-aware test-time adaptation for medical image-to-image translation

in Machine Learning

Irene Iele
Francesco Di Feola
Matteo Tortora
Rosa Sicilia
Valerio Guarrasi
Paolo Soda

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1953730

634 views

Original Research

Published on 12 Nov 2026

Digital intelligence for depression governance: an environome framework to bridge research and policy

in Medicine and Public Health

Sandra Coecke
Giulia Panzarella
Elaine van Rijn
Joseph Firth
Jerome Sarris
Joshua E. J. Buckman
Marco Solmi
Piotr Toczyski
Christophe R. Quétel
Stylianos Kephalopoulos

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1903745

795 views

Original Research

Published on 12 Nov 2026

AI-based personalized exercise and health recommendation system using hybrid modeling

in AI for Human Learning and Behavior Change

Sarthak Singh
Abhijeet Singh
Ayush Tiwari
Himanshu Gurjar
Siddhi Patel
Amanpreet Kaur

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1815026

726 views

Original Research

Published on 12 Nov 2026

Enhancing DeepIRT through counterfactual item-invariance regularization and joint learning

in Machine Learning

Christian Onyeke
Lijun Qian
Pamela Obiomon
Xishuang Dong

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1939804

567 views

Systematic Review

Published on 12 Nov 2026

A decadal systematic review of contextual quote extraction architectures: paradigm shifts, benchmarks, and future trajectories

in Computational Linguistics and Natural Language Processing

Jane Oruh
Kevin Durrheim
Mpho Primus

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1961467

503 views

Original Research

Published on 12 Nov 2026

Auditing information leakage and predictive signal in financial machine learning: a controlled study

in AI in Finance

Iván Ortiz-Gárces
Aracely Mera-Navarrete
Paul Sarango-Lalangui
Jefferson Beltrán-Morales
William Villegas-Ch

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1962585

704 views

Original Research

Accepted on 11 Nov 2026

MSARNet: A Privacy-Preserving Multimodal Deep Tabular Network for Federated Physiological Fatigue Regression

in Medicine and Public Health

Aadarsh Ramakrishna
Senthil Prakash P.N
Beneta Johnson
Tarun Parthiban
Kaja Mohideen

Frontiers in Artificial Intelligence

193 views

Original Research

Accepted on 11 Nov 2026

LAWGIC: A Knowledge-Graph–Grounded Framework for Transparent and Accountable Compliance Automation

in Technology and Law

Mehdi Yekrangi
Hui Wang
Karen Rafferty

Frontiers in Artificial Intelligence

186 views

Original Research

Accepted on 11 Nov 2026

From Statutory Text to Structured Legal Knowledge: Manual Annotation and Graph-Based Representation for Accountable LLM Reasoning

in Technology and Law

Vitaly Ogleznev
Sergey Pen

Frontiers in Artificial Intelligence

201 views

Original Research

Accepted on 11 Nov 2026

Integrated Missing-Value Imputation in Decision-Tree Induction: Predictive and Structural Outcomes for Single Trees under Different Missingness Mechanisms and Rates

in Machine Learning

Naur Ivanov
Elena Linskaya
Tagirbek Aslanov
Islam Alexandrov
Vladimir Kuklin

Frontiers in Artificial Intelligence

157 views

Original Research

Accepted on 11 Nov 2026

GALA: Evaluating Vision-Language Descriptions for Artwork Retrieval

in Machine Learning

Vadim S. Tynchenko
Andrei P. Gantimurov
Vladimir A. Nelyub
Aleksei S. Borodulin
Ivan Malashin

Frontiers in Artificial Intelligence

131 views

Original Research

Accepted on 11 Nov 2026

Regime-Informed Hybrid Statistical-Learning Models for Exchange-Rate Volatility Forecasting

in AI in Finance

OLUMIDE SUNDAY ADESINA
Lawrence Ogechukwu Obokoh

Frontiers in Artificial Intelligence

113 views

3,032 articles

articles

Growth OS: A Human-Gated Orchestration Layer for Cross-Platform Marketing Content Publishing, with a Preliminary Benchmark of Pre-Publication Engagement Prediction

A Taxonomy of Dark Moves in Human-AI Interaction: A Systematic Review of User Perceptions of Deceptive or Misleading Conversational AI

Authorship change

PhysioExercise GPT in Exercise Physiology Education: Cognitive-Level Performance and Six-Month Follow-up in a Previously Studied Cohort

Enhanced FusionNet: a deep learning structure for multimodal input-based emotion-aware deepfake speech identification

Vision-based driver distraction classification: a comprehensive survey of deep learning methods, evaluation protocols, and deployment challenges

Bayesian CNN-transformer hybrid architecture for uncertainty-aware intermittent fault detection in WSNs

CellShift-X: A Computational Intelligence Framework for Detecting Novel Cell Identities and Rare Cell States Under Biological Distribution Shift

Artificial Intelligence and Machine Learning–Driven Predictive Models for Arrhythmia Risk Prediction and Sudden Cardiac Death Stratification: A Systematic Review and Meta-Analysis

Expectations Versus Recognition in the Use of Artificial Intelligence-Assisted Drug-Drug Interaction Detection: A Multicenter Survey of Physicians

Hybrid Deep Learning with Adaptive Bezier Curve-Based Stroke Extraction for Signature Verification

Graph retrieval-augmented generation for legal academic viewpoint question answering: knowledge-graph retrieval, evaluation, and hallucination analysis

Sample-aware test-time adaptation for medical image-to-image translation

Digital intelligence for depression governance: an environome framework to bridge research and policy

AI-based personalized exercise and health recommendation system using hybrid modeling

Enhancing DeepIRT through counterfactual item-invariance regularization and joint learning

A decadal systematic review of contextual quote extraction architectures: paradigm shifts, benchmarks, and future trajectories

Auditing information leakage and predictive signal in financial machine learning: a controlled study

MSARNet: A Privacy-Preserving Multimodal Deep Tabular Network for Federated Physiological Fatigue Regression

LAWGIC: A Knowledge-Graph–Grounded Framework for Transparent and Accountable Compliance Automation

From Statutory Text to Structured Legal Knowledge: Manual Annotation and Graph-Based Representation for Accountable LLM Reasoning

Integrated Missing-Value Imputation in Decision-Tree Induction: Predictive and Structural Outcomes for Single Trees under Different Missingness Mechanisms and Rates

GALA: Evaluating Vision-Language Descriptions for Artwork Retrieval

Regime-Informed Hybrid Statistical-Learning Models for Exchange-Rate Volatility Forecasting