Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

Social Media Distrust and Turn to Artificial Intelligence among Generation Z: A Qualitative Model Linking Digital Minimalism and Financial Discipline with Social Policy Recommendations

Büşra Edibe Ökten

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

GAN-based bone suppression using a combined loss function

Lukáš Jochymek
Markéta Vašinková
Vít Doleží
Petr Gajdoš

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

Comparative analysis of strategic vs. computational thinking in management

Iryna Nyenno

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

Navigating Opportunities and Challenges of Generative AI in Higher Education: Towards Responsible, Equitable, and Human-Centered Integration

Claudiu Coman
Vasile Gherhes
Anna Bucs
Ecaterina Coman
Victoria Rodica Cioca
Diana Cristina Bodi
Raluca Maria Șerbănescu

Frontiers in Artificial Intelligence

Brief Research Report

Accepted on 27 Feb 2026

EV-Planner: Machine Learning Approaches to EV Charging Infrastructure Planning

Bharath Anand
Ananth Grama

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

Small LLMs Can Be Good Coldstart Recommenders

Joseph Noel
Christopher Monterola
Daniel Stanley Tan

Frontiers in Artificial Intelligence

Review

Accepted on 27 Feb 2026

Systematic Review of Deep Learning Models for Alzheimer's Disease Detection: MRI-Centric Approaches and Multimodal Extensions

Rajaa Alnidway
Laith Alzubaidi
Haider A Alwzwazy
M. I. Capel

Frontiers in Artificial Intelligence

Correction

Accepted on 27 Feb 2026

Correction: Painting Authentication Using CNNs and Sliding Window Feature Extraction

Juan Ruiz De Miras
Jose Luis Vilchez
María José Gacto
Domingo Martín Perandrés

Frontiers in Artificial Intelligence

Review

Accepted on 27 Feb 2026

Artificial Intelligence Guided Acupuncture Decision Making and Treatment: A Review of Research

Ru Nie
Kaiyue Deng
静贺
Jialin Jia
Hongye Wang
Shuting Yuan
Li Tie

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

Transformers Meet CNNs for Insights into Breast Mass Classification from Histopathological Images

Vatsala Anand
Ajay Khajuria

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

Radiomics-Integrated Machine Learning Framework for Quantitative Breast Cancer Diagnosis

Kaavya Jayakrishnan
Nitish Katal

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

A Deep Learning Based Approach For Detecting Anomalous Behavior in Safety Critical Spaces

Aqib Anees
Syed Asim Jalal
Hassan Hadi
Naveed Ahmad
Mohamad Ladan

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Feb 2026

Using Transfer Learning Approaches to Predict RNA-Seq Gene Expression Data for Cancer Classification

Waqas Bangyal
Adnan Ashraf
Zia Ul- Qayyum
Meshari Alazmi
Asma Abdullah Alfayez

Frontiers in Artificial Intelligence

Original Research

Published on 27 Feb 2026

Enhancing crack detection and severity assessment in historical Tabiya basins using U-Net and adaptive thresholding

Hafsa Matich
Jamal Attmani
Hajar Mousannif

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1741082

198 views

Original Research

Published on 27 Feb 2026

Classification of Lupinus seeds into sweet and bitter categories using VIS–NIR spectroscopy and machine learning

Josefa Díaz-Álvarez
Francisco A. Galea-Gragera
Francisco Chávez de la O
Pedro A. Salguero-López
Fernando Llera Cid

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1745720

114 views

Original Research

Accepted on 26 Feb 2026

An improved adaptive large neighborhood search algorithm for the flexible two-tier vehicle routing problem with drone stations

Qi Li
Wenhao Yan
Tad Gonsalves

Frontiers in Artificial Intelligence

Original Research

Accepted on 26 Feb 2026

Key aspects of fine-tuning and applying LLM-as-a-Judge for clinical data summaries in the radiological workflow

Aleksandr Borisov
Tikhon Burtsev
Pavel Kosov
Tatiana Bobrovskaya
Yuri Vasilev
Anton Vladzymyrskyy
Olga Omelyanskaya
Anastasia Petrovna Pamova
Kirill Arzamasov

Frontiers in Artificial Intelligence

Brief Research Report

Accepted on 26 Feb 2026

AI-Generated Explanations in Kidney Transplantation: Accuracy vs. Readability and Implications for Patient Education

Oscar Garcia Valencia
Charat Thongprayoon
Jing Miao
Iasmina M Craici
Wisit Cheungpasitporn

Frontiers in Artificial Intelligence

Original Research

Accepted on 26 Feb 2026

Navigating AI Feedback in Translation Training: How Text Type, Proficiency, and Attitude Shape Students' Acceptance Behaviors

Shiyue Chen
Jie Lou

Frontiers in Artificial Intelligence

Review

Accepted on 26 Feb 2026

From Operant Learning to Arbitrarily Applicable Relational Responding: A Review of Machine Psychology with the Non-Axiomatic Reasoning System

Robert Johansson
Patrick Hammer

Frontiers in Artificial Intelligence

Original Research

Published on 26 Feb 2026

Transformer model to determine spatio-temporal relationships of variables, and interpretability for soybean seed yield, oil, and protein prediction

Timilehin T. Ayanlade
Liza Van der Laan
Qisai Liu
Tryambak Gangopadhyay
Johnathon Shook
Arti Singh
Baskar Ganapathysubramanian
Soumik Sarkar
Asheesh K. Singh

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1750108

275 views

Original Research

Published on 26 Feb 2026

Audit-as-code: a policy-as-code framework for continuous AI assurance

Aoun E. Muhammad
Kin-Choong Yow
Shrooq Alsenan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1759211

262 views

Perspective

Published on 26 Feb 2026

Computational hermeneutics: evaluating generative AI as a cultural technology

Cody Kommers
Ruth Ahnert
Maria Antoniak
Emmanouil Benetos
Steve Benford
Mercedes Bunz
Baptiste Caramiaux
Shauna Concannon
Martin Disley
James Dobson

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1753041

689 views

Review

Published on 26 Feb 2026

Norm mining, identification, and detection: a systematic literature review

Benoît Alcaraz
Yazan Mualla
Sukriti Bhattacharya
Igor Tchappi
Vincent de Wit
Amro Najjar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1702659

164 views

2,012 Publications

volumes

Volume 9 - 2026

Social Media Distrust and Turn to Artificial Intelligence among Generation Z: A Qualitative Model Linking Digital Minimalism and Financial Discipline with Social Policy Recommendations

GAN-based bone suppression using a combined loss function

Comparative analysis of strategic vs. computational thinking in management

Navigating Opportunities and Challenges of Generative AI in Higher Education: Towards Responsible, Equitable, and Human-Centered Integration

EV-Planner: Machine Learning Approaches to EV Charging Infrastructure Planning

Small LLMs Can Be Good Coldstart Recommenders

Systematic Review of Deep Learning Models for Alzheimer's Disease Detection: MRI-Centric Approaches and Multimodal Extensions

Correction: Painting Authentication Using CNNs and Sliding Window Feature Extraction

Artificial Intelligence Guided Acupuncture Decision Making and Treatment: A Review of Research

Transformers Meet CNNs for Insights into Breast Mass Classification from Histopathological Images

Radiomics-Integrated Machine Learning Framework for Quantitative Breast Cancer Diagnosis

A Deep Learning Based Approach For Detecting Anomalous Behavior in Safety Critical Spaces

Using Transfer Learning Approaches to Predict RNA-Seq Gene Expression Data for Cancer Classification

Enhancing crack detection and severity assessment in historical Tabiya basins using U-Net and adaptive thresholding

Classification of Lupinus seeds into sweet and bitter categories using VIS–NIR spectroscopy and machine learning

An improved adaptive large neighborhood search algorithm for the flexible two-tier vehicle routing problem with drone stations

Key aspects of fine-tuning and applying LLM-as-a-Judge for clinical data summaries in the radiological workflow

AI-Generated Explanations in Kidney Transplantation: Accuracy vs. Readability and Implications for Patient Education

Navigating AI Feedback in Translation Training: How Text Type, Proficiency, and Attitude Shape Students' Acceptance Behaviors

From Operant Learning to Arbitrarily Applicable Relational Responding: A Review of Machine Psychology with the Non-Axiomatic Reasoning System

Transformer model to determine spatio-temporal relationships of variables, and interpretability for soybean seed yield, oil, and protein prediction

Audit-as-code: a policy-as-code framework for continuous AI assurance

Computational hermeneutics: evaluating generative AI as a cultural technology

Norm mining, identification, and detection: a systematic literature review