Automated Machine Learning Automl | List of Frontiers open access articles

Original Research

Published on 01 Jul 2024

Explainable coronary artery disease prediction model based on AutoGluon from AutoML framework

in Clinical and Translational Cardiovascular Medicine

Jianghong Wang
Qiang Xue
Chris W. J. Zhang
Kelvin Kian Loong Wong
Zhihua Liu

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2024.1360548

6,889 views
28 citations

Original Research

Published on 04 Mar 2025

Augmented intelligence with voice assistance and automated machine learning in Industry 5.0

in AI in Business

Alexandros Bousdekis
Mina Foosherian
Mattheos Fikardos
Stefan Wellsandt
Katerina Lepenioti
Enrica Bosani
Gregoris Mentzas
Klaus-Dieter Thoben

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1538840

5,526 views
7 citations

Original Research

Published on 05 Aug 2025

Evaluation of large language model-driven AutoML in data and model management from human-centered perspective

in Natural Language Processing

Jiapeng Yao
Lantian Zhang
Jiping Huang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1590105

5,645 views
5 citations

Original Research

Accepted on 05 May 2026

Development of Automated Machine Learning Models in Predicting Colorectal Adenoma in Metabolic Associated Steatotic Liver Disease

in Gastroenterology

Lu Liu
Huixian Zhang
Ziyu Zhao
Chunfang Xu
Shuting Qu

Frontiers in Medicine

275 views

Study Protocol

Published on 17 Feb 2026

Value of an automated machine learning model with post-hoc explanation for predicting healthcare-seeking delays among residents in Tibetan regions

in Digital Public Health

Zhenzhong Xi
Chenxing Meng
Qian Li
Yisha Xu
Peng Wu
Zhigang Zhang
Tingyong Han
Liangjie Zhang
Xinxuan Han

Frontiers in Public Health

doi 10.3389/fpubh.2026.1682879

555 views

Original Research

Published on 14 Jul 2025

Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients

in Computational Physiology and Medicine

Zhenyi Liu
Yihao Huang
Long Li
Yisha Xu
Peng Wu
Zhigang Zhang
Tingyong Han
Liangjie Zhang
Ming Zhang

Frontiers in Physiology

doi 10.3389/fphys.2025.1629329

3,259 views
2 citations

Original Research

Published on 29 Nov 2021

Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study

in Endovascular and Interventional Neurology

Chubin Ou
Jiahui Liu
Yi Qian
Winston Chong
Dangqi Liu
Xuying He
Xin Zhang
Chuan-Zhi Duan

Frontiers in Neurology

doi 10.3389/fneur.2021.735142

5,350 views
19 citations

Original Research

Published on 13 Jul 2023

Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data

in Big Data, AI, and the Environment

Manzhu Yu
Shiyan Zhang
Kai Zhang
Junjun Yin
Matthew Varela
Jiheng Miao

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1223160

6,426 views
18 citations

Original Research

Published on 08 Oct 2025

A human-centered automated machine learning agent with large language models for multimodal data management and analysis

in Machine Learning and Artificial Intelligence

Rong Huang
Su Tao

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1680845

7,675 views
3 citations

Original Research

Published on 17 Jul 2025

Hybrid intelligence systems for reliable automation: advancing knowledge work and autonomous operations with scalable AI architectures

in Computational Intelligence in Robotics

Allan Grosvenor
Anton Zemlyansky
Abdul Wahab
Kyrylo Bohachov
Aras Dogan
Dwyer Deighan

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1566623

4,804 views
4 citations

Original Research

Published on 21 Jan 2025

Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning

in Computational Materials Science

Muhammad Salman Khan
Tianbo Peng
Muhammad Adeel Khan
Asad Khan
Mahmood Ahmad
Kamran Aziz
Mohanad Muayad Sabri Sabri
N. S. Abd EL-Gawaad

Frontiers in Materials

doi 10.3389/fmats.2025.1542655

4,479 views
19 citations

Brief Research Report

Published on 28 Nov 2024

Automated machine learning for image-based detection of dental plaque on permanent teeth

in Periodontics

Teerachate Nantakeeratipat
Natchapon Apisaksirikul
Boonyaon Boonrojsaree
Sirapob Boonkijkullatat
Arida Simaphichet

Frontiers in Dental Medicine

doi 10.3389/fdmed.2024.1507705

5,903 views
10 citations

Original Research

Published on 10 May 2023

Automated machine learning to predict the difficulty for endoscopic resection of gastric gastrointestinal stromal tumor

in Gastrointestinal Cancers: Gastric and Esophageal Cancers

Luojie Liu
Rufa Zhang
Dongtao Shi
Rui Li
Qinghua Wang
Yunfu Feng
Fenying Lu
Yang Zong
Xiaodan Xu

Frontiers in Oncology

doi 10.3389/fonc.2023.1190987

3,444 views
6 citations

Original Research

Published on 29 Apr 2026

Development of an automated machine learning-based prediction model and interactive tool for blood transfusion requirements in patients with severe traumatic brain injury

in Neurotrauma

Chunhong Gong
Liangli Chen
Hongxia Chen

Frontiers in Neurology

doi 10.3389/fneur.2026.1757553

470 views

Original Research

Published on 10 Jun 2022

Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals

in Clinical and Diagnostic Microbiology and Immunology

Minyue Yin
Rufa Zhang
Zhirun Zhou
Lu Liu
Jingwen Gao
Wei Xu
Chenyan Yu
Jiaxi Lin
Xiaolin Liu
Chunfang Xu

Frontiers in Cellular and Infection Microbiology

doi 10.3389/fcimb.2022.886935

9,418 views
31 citations

Original Research

Published on 01 Apr 2026

Development of a predictive model using automated machine learning for Carbapenem-resistant Organisms (CRO) infections in hospitalized patients

in Antimicrobials, Resistance and Chemotherapy

Dong Fang
Rui Shi

Frontiers in Microbiology

doi 10.3389/fmicb.2026.1775344

500 views

Articles

Explainable coronary artery disease prediction model based on AutoGluon from AutoML framework

Augmented intelligence with voice assistance and automated machine learning in Industry 5.0

Evaluation of large language model-driven AutoML in data and model management from human-centered perspective

Development of Automated Machine Learning Models in Predicting Colorectal Adenoma in Metabolic Associated Steatotic Liver Disease

Value of an automated machine learning model with post-hoc explanation for predicting healthcare-seeking delays among residents in Tibetan regions

Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients

Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study

Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data

A human-centered automated machine learning agent with large language models for multimodal data management and analysis

Hybrid intelligence systems for reliable automation: advancing knowledge work and autonomous operations with scalable AI architectures

Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning

Automated machine learning for image-based detection of dental plaque on permanent teeth

Automated machine learning to predict the difficulty for endoscopic resection of gastric gastrointestinal stromal tumor

Development of an automated machine learning-based prediction model and interactive tool for blood transfusion requirements in patients with severe traumatic brain injury

Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals

Development of a predictive model using automated machine learning for Carbapenem-resistant Organisms (CRO) infections in hospitalized patients