Review
Published
A review on advances in chemical compound toxicology prediction
Ahmed Hagag · Nada A. Elsayed · Ibrahim Abdelbaky
Frontiers in Bioinformatics
doi 10.3389/fbinf.2026.1974935
Library
Articles
Every article on Frontiers is peer reviewed, permanently archived and free to read.
Showing 46 articles
Systematic Review
Published
A systematic review of machine learning approaches for MRI-based brain tumor analysis
Ivan Viktorovich Brak · Merich Doruk Kaymakcioglu · Vasiliy Vladimirovich Belousov · Zhanibek Baiturlin · Daultay Azamatovich Batyrkhanov · Daniil Olegovich Mityagin · Manzura Zholdassova · Almira Melsovna Kustubayeva
Frontiers in Computational Neuroscience
doi 10.3389/fncom.2026.1937002
Systematic Review
Published
Enhancing university network security through ML-based detection of DDoS and ARP spoofing attacks: a systematic review
Kirungi Richard · Bashir Olaniyi Sadiq · Venkateswarlu Maniniti
Frontiers in Computer Science
doi 10.3389/fcomp.2026.1900515
Original Research
Published
CyberShield analytics: SHAP-guided stacking ensembles for organizational risk resilience
Sadiya Chowdhury · Abdullah Al Imtihan
Frontiers in Artificial Intelligence
doi 10.3389/frai.2026.1878587
Original Research
Published
Explainable AI in educational data mining: LightGBM and SHAP for enhancing learner performance prediction
Zakaria Alj · Anas Bouayad
Frontiers in Artificial Intelligence
doi 10.3389/frai.2026.1954446
Review
Published
Advances in artificial intelligence-driven MRI research in Alzheimer’s disease
Lihua Deng · Yan Zeng · Peiling Ou · Suyi Zhou · Yu Gou · Cong Huang
Frontiers in Neurology
doi 10.3389/fneur.2026.1943265
Original Research
Published
DepressNet: an interpretable machine learning framework for depression severity stratification using psychometric data
Anika Rahman · Fahmid Al Farid · Md Humaion Kabir Mehedi · Jia Uddin · Hezerul Bin Abdul Karim
Frontiers in Computer Science
doi 10.3389/fcomp.2026.1901490
Original Research
Published
A data-driven and interpretable hybrid quantum-classical model for male infertility risk assessment
T. Sarath · K. Brindha
Frontiers in Medical Technology
doi 10.3389/fmedt.2026.1853728
Systematic Review
Published
Beyond the black box in healthcare operations: a structured literature review and governance framework for explainable AI in clinical process intelligence systems
Albert Adusei Brobbey · Narayan Bhosale · James Ackom
Frontiers in Artificial Intelligence
doi 10.3389/frai.2026.1864565
Original Research
Published
Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature 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
Original Research
Published
Data-driven water quality mapping of urban water bodies for sustainable cities and communities: integrating smartphone sensing and geographic information systems—a case study of Beira Lake, Sri Lanka
Niroshan Sanjaya Bandara · Amila Buddhika Jayasinghe · Günther Retscher
Frontiers in Sustainability
doi 10.3389/frsus.2026.1928065
Review
Published
Human-centric digital twins in industry 5.0: technologies, applications, and future directions
Sagheer Khan · Saifullah Tumrani · Nguyen Van Nam · Moataz Ahmed · Ashfaq Khan · Mushtaq Khan
Frontiers in Robotics and AI
doi 10.3389/frobt.2026.1983733
Mini Review
Published
Toward data-driven reliability in hydrogel semiconductor devices: forecasting approaches for degradation and signal stability
Anbazhagan Geetha · S. Preethi · J. Santhakumar
Frontiers in Materials
doi 10.3389/fmats.2026.1945407
Original Research
Published
Visual cues in MI-BCI induce biases in EEG classification models with deep learning but not with standard machine learning
David Trocellier · Simon Kojima · Bernard N'kaoua · Fabien Lotte
Frontiers in Neuroergonomics
doi 10.3389/fnrgo.2026.1804143
Original Research
Published
A comparative analysis of graph neural networks and classical machine learning for carbapenem-resistance prediction and genomic interpretation in Acinetobacter baumannii
Irfan Sharif Shaik · Morteza Sarmadi
Frontiers in Bioinformatics
doi 10.3389/fbinf.2026.1885813
Review
Published
AI-driven assessment of forest dynamics and ecosystem services in response to land use change: current progress and future perspectives
Lili Zhao · Xuncheng Fan · Shihong Xiao
Frontiers in Forests and Global Change
doi 10.3389/ffgc.2026.1933500
Policy and Practice Reviews
Published
Digital state capacity as national security architecture: Kazakhstan’s civil service reform and policymaking in the data-driven age
Aigerim Amirova
Frontiers in Political Science
doi 10.3389/fpos.2026.1894228
Hypothesis and Theory
Published
Governing generative AI in urban mobility: a five-pillar framework and twelve falsifiable propositions for operations, accountability, and public trust
Nirmal Acharya · Padmaja Kar
Frontiers in Future Transportation
doi 10.3389/ffutr.2026.1951756
Review
Published
The impact of deep learning and omics data in transforming precision therapy for brain cancer
Sana Munquad · Anam Upadhyay · Asim Bikas Das
Frontiers in Bioinformatics
doi 10.3389/fbinf.2026.1811813
Original Research
Published
Decentralized blockchain governance for explainable causal AI in macroeconomic forecasting
Oumaima Abouzaid · Faouzi Boussedra
Frontiers in Blockchain
doi 10.3389/fbloc.2026.1883639
Original Research
Published
Voluntary disclosure, banking stability, and AI-augmented forensic accounting: an exploratory econometric and machine-learning study of Palestinian banks
Bahaa Subhi Razia · Najwan Ibrahim Jadallah · Qasim Zureigat · Reem Khamis · Bahaa Subhi Awwad
Frontiers in Big Data
doi 10.3389/fdata.2026.1914133
Original Research
Published
Explainable and cyber-resilient vision transformers for joint steering and collision-avoidance perception in autonomous drone navigation: a multi-task Grad-CAM framework
Chinyere Grace Kennedy · Mukiibi Moses · Simeon Okechukwu Ajakwe
Frontiers in Future Transportation
doi 10.3389/ffutr.2026.1923890
Editorial
Published
Editorial: Machine learning algorithms and software tools for early detection and prognosis of schizophrenia
Amit Singhal · Megha Agarwal · Animesh Kumar Paul · Bishal Lamichhane
Frontiers in Computational Neuroscience
doi 10.3389/fncom.2026.1966648
Perspective
Published
Architectural good practices for reproducible benchmarking in protein machine learning
Julián García-Vinuesa · Diego Fernández-Villegas · Michelle Soto-García · Xavier Cadet · Mehdi D. Davari · Frederic Cadet · Juan A. Asenjo · Roberto Uribe-Paredes · David Medina-Ortiz
Frontiers in Bioinformatics
doi 10.3389/fbinf.2026.1925740
Review
Published
AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions
Siddhartha Singhal · Kakelli Anil Kumar
Frontiers in Big Data
doi 10.3389/fdata.2026.1938279
Systematic Review
Published
Artificial intelligence in breast cancer imaging: a systematic review of detection, segmentation, explainability, and clinical translation
Iqra Iqbal Khan · Syed Adil Hussain Shah · Alexandra Tsipourakis · Marta Malavolta · Aleesha Aleesha · Syed Baqir Hussain Shah · Mozhdeh Hajiani · Andrea Buccoliero · Konstantinos Panagiotopoulos · Syed Taimoor Hussain Shah · Marco Agostino Deriu
Frontiers in Imaging
doi 10.3389/fimag.2026.1910013
Original Research
Published
Design space taxonomy and investigation of gesture-based transparency cues in human-robot interaction
Ilka Hein · Daniel Ullrich · Christina Brunner · Sarah Diefenbach
Frontiers in Computer Science
doi 10.3389/fcomp.2026.1869586
Original Research
Published
HyperIDS: a hypergraph learning and quantum-inspired transformer ensemble framework for IoT intrusion detection
Samayank Goel · Logeswari Govindaraj · Tamilarasi Kathirvel Murugan
Frontiers in Big Data
doi 10.3389/fdata.2026.1901121
Hypothesis and Theory
Published
Toward FIAP ® -Digital: an interpretable multimodal AI architecture for translational stratification and precision care in Autism
Yves Fuamba
Frontiers in Neuroinformatics
doi 10.3389/fninf.2026.1868068
Original Research
Published
A machine learning framework for predictive interpretation of variants of uncertain significance in hereditary cancer
Nayeema Nizamuddin · Soham Biswas · Akshaykumar Zawar · Poonam Deshpande · Layal Yasin · Prashanth N. Suravajhala
Frontiers in Systems Biology
doi 10.3389/fsysb.2026.1828263
Review
Published
Artificial intelligence and decision support tools in obstetric anaesthesia: opportunities, challenges, future
Joel Chee Yee Chan · Chin Wen Tan · Ban Leong Sng
Frontiers in Anesthesiology
doi 10.3389/fanes.2026.1893965
Review
Published
A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions
Dwarsala Sreedhar Reddy · Kakelli Anil Kumar
Frontiers in Big Data
doi 10.3389/fdata.2026.1878260
Brief Research Report
Published
Sequential feature selection for efficient landslide segmentation from multi-spectral data
Arsalaan Ahmad · Oktay Karakuş · Paul L. Rosin
Frontiers in Remote Sensing
doi 10.3389/frsen.2026.1877713
Review
Published
The convergence of post-quantum cryptography and AI-driven threat hunting: a review of quantum-resilient defense frameworks
Nachaat Mohamed · Hamed Taherdoost
Frontiers in Communications and Networks
doi 10.3389/frcmn.2026.1816116
Original Research
Published
A quantitative framework for explainability assessment in medical imaging
Raimondo Fanale · Roberto Caldelli · Barbara Martini · Filippo Sciarrone
Frontiers in Imaging
doi 10.3389/fimag.2026.1846414
Perspective
Published
From prediction to practice: artificial intelligence as an enabling layer in liver transplant care – reflections on ILTS 2025
Ali Zarrinpar · Avery F. Orinion
Frontiers in Transplantation
doi 10.3389/frtra.2026.1879684
Policy and Practice Reviews
Published
Safeguarding consumers in Web3-driven digital marketing: legal, governance, and financial policy challenges in the metaverse economy
Murat Başal · Ömer Faruk Şarkbay
Frontiers in Blockchain
doi 10.3389/fbloc.2026.1726047
Original Research
Published
FUSION-AD: interpretable AI framework for risk assessment and subgroup discovery in Alzheimer's disease
Abid Iqbal · Saad Arif · Ghassan Husnain · Sarra Ayouni
Frontiers in Neuroinformatics
doi 10.3389/fninf.2026.1799307
Original Research
Published
Multi-scale pyramid spatial atrous channel attention enhanced ResNet50V2 for explainable pulmonary fibrosis diagnosis
K. Mahapackialakshmi · G. Jaffino
Frontiers in Signal Processing
doi 10.3389/frsip.2026.1787092
Mini Review
Published
Explainable artificial intelligence for the analysis of histopathological images of breast cancer: methods, interpretability and emerging directions
Raimondo Fanale · Barbara Martini · Filippo Sciarrone · Roberto Caldelli
Frontiers in Signal Processing
doi 10.3389/frsip.2026.1795809
Systematic Review
Published
Systematic review of AI-based models in pharmacoepidemiology for adverse drug event prediction and detection
Apostolia Karampatea · Konstantinos Kassandros · Theodoros Constantinides · Christos Kontogiorgis
Frontiers in Drug Safety and Regulation
doi 10.3389/fdsfr.2026.1773186
Original Research
Published
Autonomous federated defense for zero-day threats in IIoT: explainable agents with real-time edge inference
William Villegas-Ch · Rommel Gutierrez · Jaime Govea · Pablo Palacios
Frontiers in Communications and Networks
doi 10.3389/frcmn.2025.1697204
Original Research
Published
Ensembles of physics-enhanced neural networks for the prediction of critical heat flux in nuclear reactors and the quantification of its uncertainty
Nicola Pedroni
Frontiers in Nuclear Engineering
doi 10.3389/fnuen.2025.1692182
Smart Grids
Published
CatBoost-enhanced convolutional neural network framework with explainable artificial intelligence for smart-grid stability forecasting
Stephanie Ness
Frontiers in Smart Grids
doi 10.3389/frsgr.2025.1617763
the Internet of Things
Published
Managing self-explaining ambient applications
Börge Kordts · Lea C. Brandl · Andreas Schrader
Frontiers in the Internet of Things
doi 10.3389/friot.2025.1623733
Aerospace Engineering
Published
Exploring online and offline explainability in deep reinforcement learning for aircraft separation assurance
Wei Guo · Yifei Zhou · Peng Wei
Frontiers in Aerospace Engineering
doi 10.3389/fpace.2022.1071793