Frontiers in Artificial Intelligence

Original Research

Published on 19 Aug 2026

Rheumatoid arthritis classification using hybrid pretrained quantum convolutional neural network

in Machine Learning and Artificial Intelligence

D. Jeyamani
Rukmani Panjanathan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1794495

247 views

Original Research

Published on 19 Aug 2026

AI-based clinical prediction model for early infectious disease classification in the emergency department

in Medicine and Public Health

Sara N. Søgaard
Helene Skjøt-Arkil
Christian B. Mogensen
Theis Aagaard
Thomas Kronborg

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1894719

247 views

Perspective

Published on 19 Aug 2026

AI-mediated intergenerational skill transfer: enhancing ESG literacy and sustainable consumption among aging populations

in AI for Human Learning and Behavior Change

Anuja Paul
Astle
Sujata Roy

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1857373

264 views

Systematic Review

Published on 19 Aug 2026

Enhancing healthcare through ontology: a systematic review of challenges and future directions

in Medicine and Public Health

U. Priyadharshini
R. Vijayan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1872024

319 views

Original Research

Published on 19 Aug 2026

A lightweight hybrid CNN-transformer model for smoke removal in laparoscopic surgery images

in Machine Learning and Artificial Intelligence

Dhinesh Kumar Mahalingam
Tamilarasi Kathirvel Murugan
Logeswari Govindaraj
Sanjay Chauhan
Vishal Babu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1898106

381 views

Original Research

Published on 19 Aug 2026

A campus digital twin framework for visualizing and managing anxiety-related stress among college students

in Medicine and Public Health

Yuchen Wang
Xinyue Ye

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1796722

164 views

Original Research

Published on 19 Aug 2026

BCMM: gated bidirectional cross-attention fusion of breast MRI and clinical features for predicting RCB response in the I-SPY1 cohort

in Medicine and Public Health

Mu Yang
Junfeng Hu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1846986

219 views

Original Research

Published on 19 Aug 2026

Automating the creation of fashion patterns using deep learning algorithms

in Machine Learning and Artificial Intelligence

Randa Alsabhi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1828627

210 views

Original Research

Accepted on 18 Aug 2026

NeuroTrustNet: A Cost-Effective Multimodal Ensemble Framework for Brain Tumor Classification under Cross-Dataset Variability

in Machine Learning and Artificial Intelligence

Ferdaus Ibne Aziz
Insoo Koo
Tumennast Erdenebold
Jubayer A. Hossain
Asle Fagerstrøm
Debasish Ghose

Frontiers in Artificial Intelligence

Policy and Practice Reviews

Accepted on 18 Aug 2026

The Contractual Vacuum: AI Procurement and the Erosion of Good Administration

in Technology and Law

Mohammed Abdulbari

Frontiers in Artificial Intelligence

Original Research

Accepted on 18 Aug 2026

A Deep Learning Approach to County-Level Soybean Yield Forecasting Using Large-Scale Environmental Data

in AI in Food, Agriculture and Water

Bennet Chen
Wei Zhang

Frontiers in Artificial Intelligence

Systematic Review

Published on 18 Aug 2026

Analysis of postpartum and other depression detection using machine learning and deep learning techniques: a systematic review

in Medicine and Public Health

Revathy P.
Akila Victor

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1849458

600 views

Original Research

Published on 18 Aug 2026

GSARC: a group shuffle activated redundant connection framework for post-hoc feature space adaptation in skin lesion classification on the HAM10000 dataset

in Machine Learning and Artificial Intelligence

Kumar Abhishek
Muralitharan Aishwaryaa Shree
Vinesh Kannaa Balaji
Rathna R

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1867177

400 views

Original Research

Published on 18 Aug 2026

Attitudinal openness to AI as supervisor or colleague/subordinate in Japan: the role of advanced digital technology familiarity

in AI in Business

Makoto Nakakita
Takahiro Hoshino

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1920376

323 views

Original Research

Published on 18 Aug 2026

Bridging global context and local precision using a disagreement-based region specific ensemble of Swin UNETR and SegResNet for 3D glioma segmentation

in Medicine and Public Health

Amrit Baskota
Shubham Ghimire
Baskaran Periyasamy

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1812932

313 views

Original Research

Published on 18 Aug 2026

Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning

in Machine Learning and Artificial Intelligence

Ayan Chatterjee
Nurilla Avazov

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1834688

327 views

Original Research

Accepted on 17 Aug 2026

Exploring Wav2Vec2 XLSR-53 and Whisper-small for Telugu Language Speech-to-Text: A Fine-Tuning Approach

in Computational Linguistics and Natural Language Processing

Muzaffar Ahmad Dar
Sri Gani Kaarthikeya Kammula
Jagalingam Pushparaj
Venkata Sai Santhosh

Frontiers in Artificial Intelligence

Original Research

Accepted on 17 Aug 2026

Revisiting Dynamic Batch Scheduling for Grokking: The Role of Batch Size, Sample Budget, and Regularization

in Machine Learning and Artificial Intelligence

Roland Fang

Frontiers in Artificial Intelligence

Systematic Review

Accepted on 17 Aug 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

Original Research

Accepted on 17 Aug 2026

A Unified Multi-Modal Latent Diffusion Framework with Modality-Dropout Training

in Machine Learning and Artificial Intelligence

Remya S
Manu J Pillai
Laveena Herman
Niranjan B
Somula Ramasubbareddy
Yongyun Cho

Frontiers in Artificial Intelligence

Original Research

Accepted on 17 Aug 2026

Higher-Dimensional Embedding of Time-Series Data for Machine Learning

in Medicine and Public Health

Karan Singh
Pingal Pratyush Nath
Urbasi Sinha
Aninda Sinha

Frontiers in Artificial Intelligence

426 views

Original Research

Accepted on 17 Aug 2026

Stock Health Analysis and Forecasting Using Risk-Adjusted Metrics and LSTM-Guided Monte Carlo Simulation

in AI in Business

Balakrishnan P
Anny Leema
Ananaey Garg
Shakti Patidar

Frontiers in Artificial Intelligence

Original Research

Published on 17 Aug 2026

A blockchain-empowered AutoML reputation system for anonymous customer service in SMEs

in Machine Learning and Artificial Intelligence

Selvalakshmi Annamalai
Logesh Ravi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1846713

348 views

Brief Research Report

Published on 17 Aug 2026

Leakage-aware race-level upset-risk diagnostics for prospective horse-race prediction

in Machine Learning and Artificial Intelligence

Shuichi Sugiura

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1922250

529 views

2,620 articles

articles

Rheumatoid arthritis classification using hybrid pretrained quantum convolutional neural network

AI-based clinical prediction model for early infectious disease classification in the emergency department

AI-mediated intergenerational skill transfer: enhancing ESG literacy and sustainable consumption among aging populations

Enhancing healthcare through ontology: a systematic review of challenges and future directions

A lightweight hybrid CNN-transformer model for smoke removal in laparoscopic surgery images

A campus digital twin framework for visualizing and managing anxiety-related stress among college students

BCMM: gated bidirectional cross-attention fusion of breast MRI and clinical features for predicting RCB response in the I-SPY1 cohort

Automating the creation of fashion patterns using deep learning algorithms

NeuroTrustNet: A Cost-Effective Multimodal Ensemble Framework for Brain Tumor Classification under Cross-Dataset Variability

The Contractual Vacuum: AI Procurement and the Erosion of Good Administration

A Deep Learning Approach to County-Level Soybean Yield Forecasting Using Large-Scale Environmental Data

Analysis of postpartum and other depression detection using machine learning and deep learning techniques: a systematic review

GSARC: a group shuffle activated redundant connection framework for post-hoc feature space adaptation in skin lesion classification on the HAM10000 dataset

Attitudinal openness to AI as supervisor or colleague/subordinate in Japan: the role of advanced digital technology familiarity

Bridging global context and local precision using a disagreement-based region specific ensemble of Swin UNETR and SegResNet for 3D glioma segmentation

Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning

Exploring Wav2Vec2 XLSR-53 and Whisper-small for Telugu Language Speech-to-Text: A Fine-Tuning Approach

Revisiting Dynamic Batch Scheduling for Grokking: The Role of Batch Size, Sample Budget, and Regularization

Beyond the Black Box in Healthcare Operations: A Structured Literature Review and Governance Framework for Explainable AI in Clinical Process Intelligence Systems

A Unified Multi-Modal Latent Diffusion Framework with Modality-Dropout Training

Higher-Dimensional Embedding of Time-Series Data for Machine Learning

Stock Health Analysis and Forecasting Using Risk-Adjusted Metrics and LSTM-Guided Monte Carlo Simulation

A blockchain-empowered AutoML reputation system for anonymous customer service in SMEs

Leakage-aware race-level upset-risk diagnostics for prospective horse-race prediction