Frontiers in Artificial Intelligence

Systematic Review

Published on 18 Jul 2025

The application of random forest-based models in prognostication of gastrointestinal tract malignancies: a systematic review

Zhina Mohamadi
Ahmad Shafizadeh
Yasaman Aliyan
Seyedeh Fatemeh Shayesteh
Parsa Goudarzi
Alireza Khodabandeh
Amirali Vaghari
Helma Ashrafi
Omid Bahrami
Armin ZarinKhat

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1517670

3,407 views

Review

Published on 18 Jul 2025

Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics—yesterday, today, and tomorrow

Elhoucine Elfatimi
Yassir Lekbach
Swayam Prakash
Lbachir BenMohamed

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1620572

11,467 views
15 citations

Original Research

Published on 17 Jul 2025

FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images

Wei Li
Li Cao
He Deng

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1463233

1,656 views

Original Research

Published on 17 Jul 2025

A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging

Mimosette Makem
Levente Tamas
Lucian Bușoniu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1620252

2,576 views
3 citations

Systematic Review

Published on 17 Jul 2025

Visible neural networks for multi-omics integration: a critical review

David Antony Selby
Rashika Jakhmola
Maximilian Sprang
Gerrit Großmann
Hind Raki
Niloofar Maani
Daria Pavliuk
Jan Ewald
Sebastian Vollmer

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1595291

5,077 views
5 citations

Review

Published on 16 Jul 2025

Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success

Mitra Madanchian
Hamed Taherdoost

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1619029

17,359 views
6 citations

Original Research

Published on 16 Jul 2025

Spectral Entropic Radiomics Feature Extraction (SERFE): an adaptive approach for glioblastoma disease classification

V. L. Sowmya
A. Bharathi Malakreddy
Santhi Natarajan
N. Prathik
I. S. Rajesh

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1583079

1,750 views
1 citation

Original Research

Published on 16 Jul 2025

Artificial intelligence skills and their impact on the employability of university graduates

Heily Consepción Portocarrero Ramos
Omer Cruz Caro
Einstein Sánchez Bardales
Lenin Quiñones Huatangari
Jonathan Alberto Campos Trigoso
Jorge Luis Maicelo Guevara
River Chávez Santos

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1629320

21,953 views
7 citations

Original Research

Published on 15 Jul 2025

Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment

Shikha Chaganti
Vivek Singh
Alasdair Edward Gent
Rishikesan Kamaleswaran
Ali Kamen

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1452471

1,950 views

Original Research

Published on 15 Jul 2025

Outliers and anomalies in training and testing datasets for AI-powered morphometry—evidence from CT scans of the spleen

Yuriy Vasilev
Anastasia Pamova
Tatiana Bobrovskaya
Anton Vladzimirskyy
Olga Omelyanskaya
Elena Astapenko
Artem Kruchinkin
Novik Vladimir
Kirill Arzamasov

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1607348

2,069 views

Original Research

Published on 15 Jul 2025

CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting

Zhenkai Qin
Baozhong Wei
Yujia Zhai
Ziqian Lin
Xiaochuan Yu
Jingxuan Jiang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1599799

4,227 views
4 citations

Original Research

Published on 14 Jul 2025

Assessing medical students’ attitudes, performance, and usage of ChatGPT in Jeddah, Saudi Arabia

Dalia Alammari
Elaf Alamari
Rawan Alamri
Raneem Alharbi
Jumana Felimban
Jana Aljohani

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1577911

3,714 views
3 citations

Systematic Review

Published on 11 Jul 2025

A systematic literature review on the use of multicriteria decision making methods for small and medium-sized enterprises innovation assessment

Mayra Leticia Rodríguez-Carrillo
Luis Pérez-Domínguez
Roberto Romero-López
David Luviano-Cruz
Ernesto León-Castro

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1605756

4,928 views
2 citations

Original Research

Published on 11 Jul 2025

Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems

Mongi Ben Ameur
Jalel Chebil
Mohamed Hadi Habaebi
Jamel Bel Hadj Tahar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1597981

2,994 views
3 citations

Original Research

Published on 11 Jul 2025

Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain

Birger Moëll
Fabian Farestam
Jonas Beskow

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1557920

7,371 views
3 citations

Brief Research Report

Published on 11 Jul 2025

High-resolution image inpainting using a probabilistic framework for diverse images with large arbitrary masks

G. Sumathi
M. Uma Devi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1614608

3,635 views

Original Research

Published on 09 Jul 2025

Man vs. machine: can AI outperform ESL student translations?

Anas Alkhofi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1624754

4,586 views
2 citations

Original Research

Published on 09 Jul 2025

AI-enabled workforce integration: blended human resource contribution rate in Chinese companies

Kexin Zhang
Cisheng Wu
Manman Ge
Teng Liu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1645172

2,748 views

Original Research

Published on 08 Jul 2025

Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning

Intissar Dhrari Hajsalem
Yassine Ben Ayed

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1571075

2,751 views
4 citations

Review

Published on 07 Jul 2025

Artificial intelligence in healthcare text processing: a review applied to named entity recognition

Samuel Santana de Almeida
Raphael Silva Fontes
Luca Pareja Credidio Freire Alves
Methanias Colaço Júnior
Gleyson José Pinheiro Caldeira Silva
Lyane Ramalho Cortez
Antonio Higor Freire de Morais
Guilherme Medeiros Machado
Hugo Gonçalo Oliveira
Aliete Cunha-Oliveira

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1584203

9,053 views
1 citation

Opinion

Published on 04 Jul 2025

Epistemic responsibility: toward a community standard for human-AI collaborations

Dan Lloyd

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1635691

2,904 views

Systematic Review

Published on 04 Jul 2025

Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review

Teona Gelashvili-Luik
Peeter Vihma
Ingrid Pappel

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1595930

10,066 views
5 citations

Original Research

Published on 04 Jul 2025

Quantifying training response in cycling based on cardiovascular drift using machine learning

Artur Barsumyan
Raman Shyla
Anton Saukkonen
Christian Soost
Jan Adriaan Graw
Rene Burchard

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1623384

2,759 views
1 citation

Review

Published on 03 Jul 2025

Mutual human-robot understanding for a robot-enhanced society: the crucial development of shared embodied cognition

Giulio Sandini
Alessandra Sciutti
Pietro Morasso

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1608014

5,592 views
2 citations

642 Publications

volumes

The application of random forest-based models in prognostication of gastrointestinal tract malignancies: a systematic review

Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics—yesterday, today, and tomorrow

FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images

A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging

Visible neural networks for multi-omics integration: a critical review

Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success

Spectral Entropic Radiomics Feature Extraction (SERFE): an adaptive approach for glioblastoma disease classification

Artificial intelligence skills and their impact on the employability of university graduates

Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment

Outliers and anomalies in training and testing datasets for AI-powered morphometry—evidence from CT scans of the spleen

CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting

Assessing medical students’ attitudes, performance, and usage of ChatGPT in Jeddah, Saudi Arabia

A systematic literature review on the use of multicriteria decision making methods for small and medium-sized enterprises innovation assessment

Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems

Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain

High-resolution image inpainting using a probabilistic framework for diverse images with large arbitrary masks

Man vs. machine: can AI outperform ESL student translations?

AI-enabled workforce integration: blended human resource contribution rate in Chinese companies

Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning

Artificial intelligence in healthcare text processing: a review applied to named entity recognition

Epistemic responsibility: toward a community standard for human-AI collaborations

Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review

Quantifying training response in cycling based on cardiovascular drift using machine learning

Mutual human-robot understanding for a robot-enhanced society: the crucial development of shared embodied cognition