Frontiers in Artificial Intelligence

Systematic Review

Published on 18 Feb 2026

Both ends of artificial intelligence impacting privacy: a review of violation and protection

in Machine Learning and Artificial Intelligence

Nadav Voloch
Ron S. Hirschprung

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1686454

248 views

Original Research

Published on 18 Feb 2026

Computational understanding of non-coding RNA pairwise interactions

in Medicine and Public Health

Marco Nicolini
Federico Stacchietti
Elena Casiraghi
Giorgio Valentini

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1749205

173 views

Original Research

Published on 18 Feb 2026

Machine learning strategies for predicting pediatric suicidal behaviors in a Brazilian emergency setting

in Medicine and Public Health

Isis F. Carvalho
Ana Paula Couto da Silva
Anisio M. Lacerda
Wagner Meira
Danilo Bastos Bispo Ferreira
Lys Malloy Diniz
Alexandre Luiz de Oliveira Serpa
Maria Carolina Lobato Machado
Marco A. Romano-Silva
Debora Marques de Miranda

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1662264

310 views

Original Research

Published on 18 Feb 2026

Transforming data to delight: AI-led campaign personalization shapes digital natives’ intention to accept over a TAM-VAM approach

in AI in Business

L. Durgha Devi
Thangaraja Arumugam

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1734151

204 views

Systematic Review

Published on 18 Feb 2026

Formal methods for safety-critical machine learning: a systematic literature review

in Machine Learning and Artificial Intelligence

Alexandra Newcomb
Omar Ochoa

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1749956

335 views

Original Research

Accepted on 17 Feb 2026

Graph Convolution-Based Techniques for Pragmatic Arabic Figurative Language Classification

in Natural Language Processing

Zouheir Banou
Fatima-Zahra Alaoui
Sanaa El Filali
El Habib Benlahmar
Laila El Jiani
Hasnae Sakhi

Frontiers in Artificial Intelligence

Original Research

Published on 17 Feb 2026

An efficient strategy for fine-tuning large language models

in Natural Language Processing

Benjamin Marsh
Adam Michaleas
Darrell O. Ricke
Shaun Monera
Shriya Zembruski

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1665992

499 views

Original Research

Accepted on 16 Feb 2026

Phenotyping Cardiogenic Shock: An Insight from the Gulf Cardiogenic Shock Registry

in Medicine and Public Health

Ahmed Elmahrouk
Amin Daoulah
Ahmed Jamjoom
Nooraldaem Yousif
Wael Almahmeed
Prashanth Panduranga
Abdulrahman Arabi
Omar Kanbr
Hatem M. Aloui
Mohammed Alshehri

Frontiers in Artificial Intelligence

Review

Accepted on 16 Feb 2026

AI-Navigated Shoulder Injection: Precision, Real-Time Learning and Clinical Translation

in Medicine and Public Health

Hua Li
Xiaodan Huang
Ming Zhao
Yanxin Cheng

Frontiers in Artificial Intelligence

Original Research

Accepted on 16 Feb 2026

Factors Influencing Intention to Use AI in Business Decision Making among Professional Employees in Malaysia's Financial Industry

in AI in Finance

Gehad Mohammed Ahmed Naji
Mohammed Alzoraiki
Nagendra Suba Rao
Yulita Hanum P Iskandar

Frontiers in Artificial Intelligence

Systematic Review

Accepted on 16 Feb 2026

Synthetic relationships with social pedagogical agents in education: A scoping literature review

in AI for Human Learning and Behavior Change

Sebas Nouwen
Janienke Sturm
Uwe Matzat
Wijnand IJsselsteijn

Frontiers in Artificial Intelligence

Original Research

Accepted on 16 Feb 2026

Redundancy-as-Masking: Formalizing the Artificial Age Score (AAS) to Model Memory Aging in Generative AI

in Machine Learning and Artificial Intelligence

Seyma Yaman Kayadibi

Frontiers in Artificial Intelligence

Original Research

Accepted on 16 Feb 2026

Sustainable Adoption of Artificial Intelligence and the Metaverse in Higher Education: An Environmental, Social, and Governance–Based Analysis of Pedagogical Innovation and Perceived Student Learning Outcomes

in AI for Human Learning and Behavior Change

Jehad Alqurni

Frontiers in Artificial Intelligence

Original Research

Accepted on 16 Feb 2026

Evaluating Chain-of-Thought Reasoning in Large Language Models for Thyroid Ultrasound Interpretation: A Dual-Information Approach

in Medicine and Public Health

Yu-Tong Zhang
Si-Yi Wu
Dong Zhang
Zheng-Yi Yang
Sheng-Wei Zhao
Hongcheng Han
Xin Yuan
Lirong Wang
Jiang Jue
Shaoyi Du

Frontiers in Artificial Intelligence

Original Research

Accepted on 16 Feb 2026

HASPNet: A Hierarchically Attentive Signal-Preserving Network for Papaya Leaf Disease Classification with Explainable Deep Learning

in AI in Food, Agriculture and Water

Sundara Srivasthsan M
Sahnaaz Mariam
Prithivraj S
Lighittha P R
Suchetha M
Preethi S

Frontiers in Artificial Intelligence

Original Research

Accepted on 13 Feb 2026

An Experimental Evaluation of an AI-Powered Interactive Learning Platform

in AI for Human Learning and Behavior Change

Courtney Heldreth
Laura Vardoulakis
Diana Akrong
Nicole Miller
Yael Haramaty
Lior Belinsky
Lidan Hackmon
Abraham Oritz Tapia
Lucy Tootill
Scott Siebert

Frontiers in Artificial Intelligence

192 views

Original Research

Published on 13 Feb 2026

Threats and vulnerabilities in artificial intelligence and agentic AI models

in Machine Learning and Artificial Intelligence

Petar Radanliev
Omar Santos
Carsten Maple

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1731566

685 views

Hypothesis and Theory

Published on 13 Feb 2026

Free will as structured unpredictability: toward a symbiotic human–AI relationship

in AI for Human Learning and Behavior Change

Mory Ghomshei
Karim C. Abbaspour

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1694537

905 views

Original Research

Published on 13 Feb 2026

Large language models as cognitive shortcuts: a systems-theoretic reframing beyond bullshit

in Machine Learning and Artificial Intelligence

Murat Sariyar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1681525

557 views

Original Research

Published on 13 Feb 2026

Improving reliability and accuracy of structured data extraction using a consensus large-language model approach–a use case description in multiple sclerosis

in Medicine and Public Health

Philip Lennart Poser
Rafael Klimas
Justus Luerweg
Emilie Reuter
Christoph Hanefeld
Ralf Gold
Anke Salmen
Jeremias Motte

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1658575

441 views

Systematic Review

Published on 13 Feb 2026

A review of optimization strategies for deep and machine learning in diabetic macular edema

in Medicine and Public Health

A. M. Mutawa
Khalid Sabti
Bibin Shalini Sundaram Thankaleela
Seemant Raizada

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1684752

351 views

Original Research

Published on 13 Feb 2026

Modeling and forecasting Saudi banking stability using ARIMA and exponential smoothing technique

in AI in Finance

Abdulaziz Alnajjar
Hamzeh F. Assous
Hazem Al-Najjar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1702414

502 views

Technology and Code

Published on 13 Feb 2026

Web-based cardiovascular disease risk prediction using machine learning

in Medicine and Public Health

Suraiya Akhter
John H. Miller

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1690664

526 views

Original Research

Published on 13 Feb 2026

Tabular diffusion counterfactual explanations

in AI in Finance

Wei Zhang
Brian Barr
John Paisley

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1743495

417 views

1,978 articles

articles

Both ends of artificial intelligence impacting privacy: a review of violation and protection

Computational understanding of non-coding RNA pairwise interactions

Machine learning strategies for predicting pediatric suicidal behaviors in a Brazilian emergency setting

Transforming data to delight: AI-led campaign personalization shapes digital natives’ intention to accept over a TAM-VAM approach

Formal methods for safety-critical machine learning: a systematic literature review

Graph Convolution-Based Techniques for Pragmatic Arabic Figurative Language Classification

An efficient strategy for fine-tuning large language models

Phenotyping Cardiogenic Shock: An Insight from the Gulf Cardiogenic Shock Registry

AI-Navigated Shoulder Injection: Precision, Real-Time Learning and Clinical Translation

Factors Influencing Intention to Use AI in Business Decision Making among Professional Employees in Malaysia's Financial Industry

Synthetic relationships with social pedagogical agents in education: A scoping literature review

Redundancy-as-Masking: Formalizing the Artificial Age Score (AAS) to Model Memory Aging in Generative AI

Sustainable Adoption of Artificial Intelligence and the Metaverse in Higher Education: An Environmental, Social, and Governance–Based Analysis of Pedagogical Innovation and Perceived Student Learning Outcomes

Evaluating Chain-of-Thought Reasoning in Large Language Models for Thyroid Ultrasound Interpretation: A Dual-Information Approach

HASPNet: A Hierarchically Attentive Signal-Preserving Network for Papaya Leaf Disease Classification with Explainable Deep Learning

An Experimental Evaluation of an AI-Powered Interactive Learning Platform

Threats and vulnerabilities in artificial intelligence and agentic AI models

Free will as structured unpredictability: toward a symbiotic human–AI relationship

Large language models as cognitive shortcuts: a systems-theoretic reframing beyond bullshit

Improving reliability and accuracy of structured data extraction using a consensus large-language model approach–a use case description in multiple sclerosis

A review of optimization strategies for deep and machine learning in diabetic macular edema

Modeling and forecasting Saudi banking stability using ARIMA and exponential smoothing technique

Web-based cardiovascular disease risk prediction using machine learning

Tabular diffusion counterfactual explanations