Frontiers in Artificial Intelligence

Review

Published on 02 Oct 2026

Beyond diagnostic accuracy: navigating the artificial intelligence data tsunami toward value-based implementation in gastroenterology

in Medicine and Public Health

Konstantinos Ekmektzoglou
Theodore Rokkas

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1943025

198 views

Original Research

Published on 02 Oct 2026

Context-aware KazRoBERTa with transformer-based candidate re-ranking for Kazakh spelling correction

in Natural Language Processing

Zhanar Azhibekova
Daniyar Sultan
Laura Baitenova

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1925050

388 views

Original Research

Published on 02 Oct 2026

Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning

in Machine Learning

Hafiz Aziz Khan
Sonia Akter
Abdur Rahman Lindon
Taslima Akter
Iftekhar Rasul
Mamunur Rahman
Nasrin Akter Tohfa
Iftekhar Hossain

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1854934

550 views

Systematic Review

Published on 02 Oct 2026

Artificial intelligence, explainable deep learning, and generative models for osteoporosis and bone disease prediction: a systematic review and future research roadmap

in Medicine and Public Health

M. Raja
Avulapalli Jayaram Reddy

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1930437

446 views

Review

Published on 02 Oct 2026

Intelligent defense at the edge: a comprehensive survey of federated learning, TinyML and explainable AI for intrusion detection in IoT and IIoT ecosystems

in Machine Learning

S. Sarath Kumar
M. Asha Jerlin

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1900815

347 views

Original Research

Published on 02 Oct 2026

Cost-sensitive random forest with adaptive threshold optimization for imbalanced financial fraud detection

in AI in Finance

Jafar Ali
Rahman Shafique
Daniel Gavilanes
Manuel Masias Vergara
Isabel de la Torre Diez
Dae Wan Kim

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1938836

319 views

Systematic Review

Published on 02 Oct 2026

Beyond the black box in healthcare operations: a structured literature review and governance framework for explainable AI in clinical process intelligence systems

in Medicine and Public Health

Albert Adusei Brobbey
Narayan Bhosale
James Ackom

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1864565

363 views

Original Research

Accepted on 01 Oct 2026

How Gender Shapes Public Speaking in Virtual Reality: A Multimodal Analysis

in AI for Human Learning and Behavior Change

Marion Ristorcelli
Magalie Ochs
Remy Casanova

Frontiers in Artificial Intelligence

Original Research

Published on 01 Oct 2026

Large-scale conversational data auditability via cryptographic commitments and hash-chained audit-ledger verification

in Natural Language Processing

Iván Ortiz-Gárces
Pablo Palacios
Washington Loza-Herrera
William Villegas-Ch

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1929127

154 views

Perspective

Published on 01 Oct 2026

Self-evaluative reliability: a missing safety property in adaptive clinical AI governance

in Medicine and Public Health

Rasit Dinc
Nurittin Ardic

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1973339

134 views

Original Research

Published on 01 Oct 2026

Hybrid neuro-symbolic graph explanation framework for fraud detection in financial transaction networks

in Machine Learning

Neeraj S. Kumar
Idhikash J.
Jannath Nisha O. S.
Shreenidhi S. R.

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1904459

394 views

Original Research

Published on 01 Oct 2026

Automated Nuchal Translucency analysis for early prenatal risk stratification

in Medicine and Public Health

Smita S. Pawar
Mangesh D. Nikose
Prakash G. Burade

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1914775

256 views

Original Research

Published on 01 Oct 2026

Enhancing vehicle routing problem through a qubit-efficient Symmetric Arc Reduction using Quantum Approximate Optimization Algorithm

in Machine Learning

Jayaraja A
Senthil Kumaran U

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1900887

215 views

Original Research

Published on 01 Oct 2026

Endophytic actinomycetes as a reservoir of novel chemotherapeutic leads against multidrug-resistant cancer

in Medicine and Public Health

Dhanvee Ganatra
Mahendrapal Singh Rajput
Gaurav Sanghvi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1974583

156 views

Original Research

Published on 01 Oct 2026

UniPET: a unified approach for whole-body CT to PET translation

in Machine Learning

Francesco Di Feola
Valerio Guarrasi
Mikael Johansson
Paolo Soda

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1919564

438 views

Original Research

Published on 01 Oct 2026

An AI-driven hybrid random forest-LSTM framework for IoT-based groundwater level prediction and sustainable water management in Chennai, India

in AI in Food, Agriculture and Water

S. Boomika
R. Sitharthan
R. Tanukasree
R. Senthil Kumar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1958933

310 views

Original Research

Published on 01 Oct 2026

Stock health analysis and forecasting using risk-adjusted metrics and LSTM-guided Monte Carlo simulation

in AI in Business

Balakrishnan P
A. Anny Leema
Ananaey Garg
Shakti Patidar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1811451

482 views

Original Research

Accepted on 30 Sep 2026

PREDICTIVE MAINTENANCE SYSTEM WITH CONVERSATIONAL CHAT INTERFACE

in AI in Business

Nivethitha Vijayaraj
Suthir Sriram
Hasini Balabommu
Gaurav Choudhary

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

AOViT: An Adaptive Optimized Vision Transformer Model for the Classification of Heritage Paintings

in Machine Learning

Bassam Noori Shaker
Lafta Raheem Ali
Ammar T. Namel
Sam Ansari
Dina Shehada
Abir Jaafar Hussain

Frontiers in Artificial Intelligence

Opinion

Accepted on 30 Sep 2026

Geography, Geospatial Analysis and Artificial Intelligence: Between Traditional Methods and New Spatial Paradigms

in Machine Learning

Cláudia M. Viana
Jorge Rocha

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

A Temporal Evolving Adaptive Learning Framework with Integrated Explainable AI Dynamic Behavioral Pattern Recognition

in Machine Learning

Hemachandran K
Vijay Anand Rajasekaran

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 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 Buckman
Marco Solmi
Piotr Toczyski
Christophe R. Quétel
Stylianos Kephalopoulos

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

Improving Farm Productivity and Profitability through AI Diffusion: Evidence from Punjab, Pakistan

in AI in Food, Agriculture and Water

Aeman Khalid
Colin Akhurst
Sayed Abdul Majid Gilani
Firas Armosh
Syeda Aqsa Zanib
Jack Boath
Richard Stanley Peel
Yohani Jinadasa

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

Explainable Deep Learning for Predicting Temperature Breaks and Identifying their Causal Drivers in Fresh Produce Cold Chains

in AI in Food, Agriculture and Water

Jeremiah Taguta
Frederic Isingizwe
Clement Nthambazale Nyirenda

Frontiers in Artificial Intelligence

2,834 articles

articles

Beyond diagnostic accuracy: navigating the artificial intelligence data tsunami toward value-based implementation in gastroenterology

Context-aware KazRoBERTa with transformer-based candidate re-ranking for Kazakh spelling correction

Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning

Artificial intelligence, explainable deep learning, and generative models for osteoporosis and bone disease prediction: a systematic review and future research roadmap

Intelligent defense at the edge: a comprehensive survey of federated learning, TinyML and explainable AI for intrusion detection in IoT and IIoT ecosystems

Cost-sensitive random forest with adaptive threshold optimization for imbalanced financial fraud detection

Beyond the black box in healthcare operations: a structured literature review and governance framework for explainable AI in clinical process intelligence systems

How Gender Shapes Public Speaking in Virtual Reality: A Multimodal Analysis

Large-scale conversational data auditability via cryptographic commitments and hash-chained audit-ledger verification

Self-evaluative reliability: a missing safety property in adaptive clinical AI governance

Hybrid neuro-symbolic graph explanation framework for fraud detection in financial transaction networks

Automated Nuchal Translucency analysis for early prenatal risk stratification

Enhancing vehicle routing problem through a qubit-efficient Symmetric Arc Reduction using Quantum Approximate Optimization Algorithm

Endophytic actinomycetes as a reservoir of novel chemotherapeutic leads against multidrug-resistant cancer

UniPET: a unified approach for whole-body CT to PET translation

An AI-driven hybrid random forest-LSTM framework for IoT-based groundwater level prediction and sustainable water management in Chennai, India

Stock health analysis and forecasting using risk-adjusted metrics and LSTM-guided Monte Carlo simulation

PREDICTIVE MAINTENANCE SYSTEM WITH CONVERSATIONAL CHAT INTERFACE

AOViT: An Adaptive Optimized Vision Transformer Model for the Classification of Heritage Paintings

Geography, Geospatial Analysis and Artificial Intelligence: Between Traditional Methods and New Spatial Paradigms

A Temporal Evolving Adaptive Learning Framework with Integrated Explainable AI Dynamic Behavioral Pattern Recognition

Digital Intelligence for Depression Governance: an Environome Framework to Bridge Research and Policy

Improving Farm Productivity and Profitability through AI Diffusion: Evidence from Punjab, Pakistan

Explainable Deep Learning for Predicting Temperature Breaks and Identifying their Causal Drivers in Fresh Produce Cold Chains