Frontiers in Artificial Intelligence

Original Research

Published on 05 Feb 2026

Artificial intelligence for biodiversity and tourism governance: predictive insights from multilayer perceptron models in Amazonia

in Machine Learning and Artificial Intelligence

Jessie Bravo-Jaico
Oscar Serquén
Roger Alarcón
Juan Eduardo Suarez-Rivadeneira
Wilfredo Ruiz-Camacho
Freddy A. Manayay

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1702544

609 views

Original Research

Accepted on 04 Feb 2026

Audit-as-Code: A Policy-as-Code Framework for Continuous AI Assurance

in Technology and Law

Aoun E Muhammad
Kin-Choong Yow
Shrooq Alsenan

Frontiers in Artificial Intelligence

215 views

Review

Accepted on 04 Feb 2026

Anemia in Young Women: Determinants and Artificial Intelligence-Based Management Approaches

in Medicine and Public Health

Sireesha Guttapalam
Madhavi D
Beulah A.M
Niharika M
Pradeepthi C

Frontiers in Artificial Intelligence

165 views

Original Research

Accepted on 04 Feb 2026

PLPdra: Pyramid Linear Prediction decoder and reverse attention for Colon Polyps Segmentation

in Medicine and Public Health

Zhaolin Lu
Yu Tian
Hongliang Bi
Wei Wang
Bohe Wang
Guangxia Chen
Shiyu Liu

Frontiers in Artificial Intelligence

325 views

Original Research

Accepted on 04 Feb 2026

Providers of Relief in Distress: RAG-based LLMs as Situation and Intent-Aware Assistants

in Medicine and Public Health

Ahmad Nazar
Brianna R Norman
Halle Northway
Abrahim Toutoungi
Emma Zatkalik
Gabriel Carlson
Ellery Sabado
Hamza Shawa
Mohamed Y. Selim

Frontiers in Artificial Intelligence

197 views

Conceptual Analysis

Published on 04 Feb 2026

An auditable and source-verified framework for clinical AI decision support: integrating retrieval-augmented generation with data provenance

in Medicine and Public Health

Fidelis Fidelis Alu
Sunkanmi Oluwadare

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1737532

1,175 views

Original Research

Published on 04 Feb 2026

TEGAA: transformer-enhanced graph aspect analyzer with semantic contrastive learning for implicit aspect detection

in Natural Language Processing

Piyush Kumar Soni
Radhakrishna Rambola

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1666674

537 views

Original Research

Published on 04 Feb 2026

A new clustered federated learning algorithm for heterogeneous data in high-precision wireless sensing

in Machine Learning and Artificial Intelligence

Zongrui Tian
Jiasheng Tian

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1718193

441 views

Original Research

Published on 04 Feb 2026

Deep learning-radiomics assessment of intervertebral disc and paraspinal muscle heterogeneity for predicting postoperative recurrent lumbar disc herniation

in Medicine and Public Health

Guangdong Zhang
Ziqian Zhu
Haiyan Zheng
Xindong Chang
Fanyi Zeng
Jianwei Cui
Ming Tang
Shiwu Yin

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1757269

524 views

Original Research

Published on 04 Feb 2026

Advanced kidney mass segmentation using VHUCS-Net with protuberance detection network

in Medicine and Public Health

J. Jenifa Sharon
L. Jani Anbarasi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1716063

553 views

Original Research

Accepted on 03 Feb 2026

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

in AI in Food, Agriculture and Water

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

Frontiers in Artificial Intelligence

197 views

Editorial

Accepted on 02 Feb 2026

Editorial: The Applications of AI Techniques in Medical Data Processing

in Medicine and Public Health

Pengfei Zhang

Frontiers in Artificial Intelligence

270 views

Original Research

Published on 02 Feb 2026

Graph-enhanced multimodal fusion of vascular biomarkers and deep features for diabetic retinopathy detection

in Medicine and Public Health

K. V. Deepsahith
Basineni Shashank
Bangipavan Kumar
Sherly Alphonse
Brindha Subburaj
Girish Subramanian

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1731633

666 views

Original Research

Published on 02 Feb 2026

ORCH: many analyses, one merge—a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing

in Machine Learning and Artificial Intelligence

Hanlin Zhou
Huah Yong Chan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1748735

674 views

Original Research

Accepted on 30 Jan 2026

Generative AI-based approach for Player behaviour Analysis and Grey Area Identification

in Machine Learning and Artificial Intelligence

Vinay K
Sriram Sankaran

Frontiers in Artificial Intelligence

347 views

Editorial

Accepted on 30 Jan 2026

Editorial: Soft Computing and Machine Learning Application for Healthcare Systems

in Medicine and Public Health

Ayodele Adebiyi
Olawande Daramola
Serestina Viriri
Emmanuel Adetiba

Frontiers in Artificial Intelligence

312 views

Original Research

Accepted on 30 Jan 2026

Unveiling Patterns in Clinical Data: Exploring the Role of Large Language Models and Clustering Algorithms

in Medicine and Public Health

Abbas Ali
Subi Gandhi
Syed H Jafri
Mohammed M Ali
Syed Yahya Raza
Samian Sulaiman
James Mehaffey

Frontiers in Artificial Intelligence

269 views

Original Research

Accepted on 30 Jan 2026

Generalization Bounds for a Generator-Regularized InfoGAN-Inspired Adversarial Objective

in Machine Learning and Artificial Intelligence

Mahmud Hasan
Mathias Nthiani Muia
Md Mahmudul Islam

Frontiers in Artificial Intelligence

231 views

Original Research

Accepted on 30 Jan 2026

Designing Effective Explainable AI: A Human-Centered Evaluation of Explanation Formats in Financial Decision-Making

in AI in Finance

Henry Maathuis
Marcel Stalenhoef
Sieuwert Van Otterloo
Raymond Zwaal
Kees Van Montfort
Danielle Sent

Frontiers in Artificial Intelligence

830 views

Original Research

Published on 30 Jan 2026

Portfolio management based on value distribution reinforcement learning algorithm

in AI in Finance

Yan Yang
Tian Wang
Yiding Fu
Jingna Huang
Dong Zhou

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1709493

957 views

Original Research

Published on 30 Jan 2026

Artificial intelligence usage, breakthrough innovation, and innovation performance in high-tech enterprises: the nonlinear moderating role of Not-Invented-Here Syndrome

in AI in Business

Dian Guan
Zexia Wang
Wucheng Han
Yinqiang Pei

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1699860

1,071 views

Original Research

Published on 30 Jan 2026

LeafSightX: an explainable attention-enhanced CNN fusion model for apple leaf disease identification

in AI in Food, Agriculture and Water

Md. Ehsanul Haque
Fahmid Al Farid
Md. Kamrul Siam
Md. Nurul Absur
Jia Uddin
Hezerul Abdul Karim

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1689865

819 views

Original Research

Published on 30 Jan 2026

Augmenting large language models with psychologically grounded models of causal reasoning for planning under uncertainty

in Machine Learning and Artificial Intelligence

Semanti Basu
Moon Hwan Kim
Semir Tatlidil
Tom Williams
Steven Sloman
Ruth Iris Bahar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1730614

650 views

Original Research

Published on 30 Jan 2026

KmPred: prediction of Michaelis constants (Km) using an integrative machine learning framework

in Machine Learning and Artificial Intelligence

Meshari Alazmi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1711471

888 views

1,969 articles

articles

Artificial intelligence for biodiversity and tourism governance: predictive insights from multilayer perceptron models in Amazonia

Audit-as-Code: A Policy-as-Code Framework for Continuous AI Assurance

Anemia in Young Women: Determinants and Artificial Intelligence-Based Management Approaches

PLPdra: Pyramid Linear Prediction decoder and reverse attention for Colon Polyps Segmentation

Providers of Relief in Distress: RAG-based LLMs as Situation and Intent-Aware Assistants

An auditable and source-verified framework for clinical AI decision support: integrating retrieval-augmented generation with data provenance

TEGAA: transformer-enhanced graph aspect analyzer with semantic contrastive learning for implicit aspect detection

A new clustered federated learning algorithm for heterogeneous data in high-precision wireless sensing

Deep learning-radiomics assessment of intervertebral disc and paraspinal muscle heterogeneity for predicting postoperative recurrent lumbar disc herniation

Advanced kidney mass segmentation using VHUCS-Net with protuberance detection network

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

Editorial: The Applications of AI Techniques in Medical Data Processing

Graph-enhanced multimodal fusion of vascular biomarkers and deep features for diabetic retinopathy detection

ORCH: many analyses, one merge—a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing

Generative AI-based approach for Player behaviour Analysis and Grey Area Identification

Editorial: Soft Computing and Machine Learning Application for Healthcare Systems

Unveiling Patterns in Clinical Data: Exploring the Role of Large Language Models and Clustering Algorithms

Generalization Bounds for a Generator-Regularized InfoGAN-Inspired Adversarial Objective

Designing Effective Explainable AI: A Human-Centered Evaluation of Explanation Formats in Financial Decision-Making

Portfolio management based on value distribution reinforcement learning algorithm

Artificial intelligence usage, breakthrough innovation, and innovation performance in high-tech enterprises: the nonlinear moderating role of Not-Invented-Here Syndrome

LeafSightX: an explainable attention-enhanced CNN fusion model for apple leaf disease identification

Augmenting large language models with psychologically grounded models of causal reasoning for planning under uncertainty

KmPred: prediction of Michaelis constants (Km) using an integrative machine learning framework