Frontiers in Artificial Intelligence

Correction

Published on 29 Aug 2025

Correction: Research on the robustness of the open-world test-time training model

in Machine Learning and Artificial Intelligence

Shu Pi
Xin Wang
Jiatian Pi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1682908

804 views

Original Research

Published on 29 Aug 2025

A predictive analytics approach to improve telecom's customer retention

in AI in Business

Asem Omari
Omaia Al-Omari
Tariq Al-Omari
Suliman Mohamed Fati

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1600357

7,521 views
2 citations

Review

Published on 29 Aug 2025

AI, agentic models and lab automation for scientific discovery — the beginning of scAInce

in Medicine and Public Health

Thomas Hartung

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1649155

13,876 views
8 citations

Brief Research Report

Published on 28 Aug 2025

Limitations of broadly trained LLMs in interpreting orthopedic Walch glenoid classifications

in Medicine and Public Health

Adam ElSayed
Gary F. Updegrove

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1644093

2,204 views

Review

Published on 27 Aug 2025

Large Language Models in equity markets: applications, techniques, and insights

in AI in Finance

Aakanksha Jadhav
Vishal Mirza

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1608365

14,315 views
9 citations

Review

Published on 26 Aug 2025

A comparative study of Arabic syntactic analyzers

in Natural Language Processing

Omar Saadiyeh
Alaaeddine Ramadan
Mohammad Hajjar
Gilles Bernard

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1638743

2,906 views

Original Research

Published on 26 Aug 2025

Effective methods and framework for energy-based local learning of deep neural networks

in Machine Learning and Artificial Intelligence

Haibo Chen
Bangcheng Yang
Fucun He
Fei Zhou
Shuai Chen
Chunpeng Wu
Fan Li
Yansong Chua

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1605706

2,381 views

Original Research

Published on 25 Aug 2025

Investigation of deep learning approaches for automated damage diagnostics in fiber metal laminates using Detectron2 and SAM

in Pattern Recognition

Sanjeev Kumar
Stefan Bosse
Chirag Shah

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1599345

3,215 views

Original Research

Published on 25 Aug 2025

Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures

in Machine Learning and Artificial Intelligence

Kasian Myagila
Devotha Godfrey Nyambo
Mussa Ally Dida

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1630743

2,805 views
1 citation

Original Research

Published on 25 Aug 2025

Federated quantum-inspired anomaly detection using collaborative neural clients

in AI for Human Learning and Behavior Change

Deepthi Godavarthi
Venkata Charan Sathvik Rekapalli
Sribidhya Mohanty
J. V. S. D. Vigneswara Jaswanth
Dinesh Polisetty
Bibhuti Bhusan Dash
Fernando Moreira

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1648609

4,229 views
2 citations

Original Research

Published on 22 Aug 2025

Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratification

in Medicine and Public Health

Wenqiang Li
Dongdong Yan
Wei Hu
Xiaoling Su
Zheng Zhang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1618492

2,119 views
1 citation

Original Research

Published on 22 Aug 2025

Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status

in AI in Food, Agriculture and Water

Shubhangi Mahato
Hanqing Bi
Suresh Neethirajan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1545247

3,628 views
1 citation

Original Research

Published on 22 Aug 2025

BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals

in Machine Learning and Artificial Intelligence

S. Premanand
Sathiya Narayanan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1625637

2,545 views

Brief Research Report

Published on 22 Aug 2025

A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations

in Medicine and Public Health

Maria Eduarda Varela Cavalcanti Souto
Alexandre Chaves Fernandes
Ana Beatriz Santana Silva
Louise Helena de Freitas Ribeiro
Thales Allyrio Araújo de Medeiros Fernandes

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1614874

2,671 views
2 citations

Original Research

Published on 22 Aug 2025

Acceptability of artificial intelligence in inclusive education: a TAM2-based study among preservice teachers

in AI for Human Learning and Behavior Change

Houda Amouri
Samia Haroud
Lynda Ouchaouka
Nadia Saqri

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1616327

3,851 views
2 citations

Systematic Review

Published on 22 Aug 2025

A systematic review of deep learning methods for community detection in social networks

in Machine Learning and Artificial Intelligence

Mohamed El-Moussaoui
Mohamed Hanine
Ali Kartit
Monica Garcia Villar
Helena Garay
Isabel de la Torre Díez

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1572645

4,808 views
2 citations

Editorial

Published on 21 Aug 2025

Editorial: Deep neural network architectures and reservoir computing

in Machine Learning and Artificial Intelligence

Sou Nobukawa
Arya Kumar Bhattacharya
Akira Hirose

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1676744

3,028 views

Original Research

Published on 20 Aug 2025

Weaponizing cognitive bias in autonomous systems: a framework for black-box inference attacks

in Language and Computation

Shiyong Chu
Yuwei Chen

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1623573

2,995 views

Original Research

Published on 20 Aug 2025

Probing for consciousness in machines

in Machine Learning and Artificial Intelligence

Mathis Immertreu
Achim Schilling
Andreas Maier
Patrick Krauss

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1610225

7,439 views
3 citations

Original Research

Published on 20 Aug 2025

Graph neural networks with configuration cross-attention for tensor compilers

in Machine Learning and Artificial Intelligence

Dmitrii Khizbullin
Eduardo Rocha de Andrade
Thanh Hau Nguyen
Matheus Pedroza Ferreira
David R. Pugh

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1605539

2,470 views

Original Research

Published on 20 Aug 2025

AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis

in Machine Learning and Artificial Intelligence

Muhammad Hasnain
Khursheed Aurangzeb
Musaed Alhussein
Imran Ghani
Muhammad Hamza Mahmood

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1579375

18,373 views
1 citation

Original Research

Published on 20 Aug 2025

CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis

in Natural Language Processing

Soofi Shafiya
Mudasir Ahmad Wani
Suraiya Jabin
Mohammad ELAffendi
Jahiruddin

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1623090

1,944 views

Brief Research Report

Published on 19 Aug 2025

From data silos to insights: the PRINCE multi-agent knowledge engine for preclinical drug development

in Medicine and Public Health

Carlos Henrique Vieira-Vieira
Sarang Sanjay Kulkarni
Adam Zalewski
Jobst Löffler
Jonas Münch
Annika Kreuchwig

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1636809

5,067 views
2 citations

Original Research

Published on 18 Aug 2025

Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data

in Machine Learning and Artificial Intelligence

Adriteyo Das
Vedant Agarwal
Nisha P. Shetty

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1608837

5,583 views
2 citations

2,022 articles

articles

Correction: Research on the robustness of the open-world test-time training model

A predictive analytics approach to improve telecom's customer retention

AI, agentic models and lab automation for scientific discovery — the beginning of scAInce

Limitations of broadly trained LLMs in interpreting orthopedic Walch glenoid classifications

Large Language Models in equity markets: applications, techniques, and insights

A comparative study of Arabic syntactic analyzers

Effective methods and framework for energy-based local learning of deep neural networks

Investigation of deep learning approaches for automated damage diagnostics in fiber metal laminates using Detectron2 and SAM

Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures

Federated quantum-inspired anomaly detection using collaborative neural clients

Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratification

Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status

BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals

A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations

Acceptability of artificial intelligence in inclusive education: a TAM2-based study among preservice teachers

A systematic review of deep learning methods for community detection in social networks

Editorial: Deep neural network architectures and reservoir computing

Weaponizing cognitive bias in autonomous systems: a framework for black-box inference attacks

Probing for consciousness in machines

Graph neural networks with configuration cross-attention for tensor compilers

AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis

CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis

From data silos to insights: the PRINCE multi-agent knowledge engine for preclinical drug development

Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data