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
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Articles
Every article on Frontiers is peer reviewed, permanently archived and free to read.
Showing 45 articles
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
Original Research
Published
Explainable fine-grained feature enhancement framework for strawberry diagnostic decision making
Hye-Young Wang · Seoung-Ho Choi
Frontiers in Plant Science
doi 10.3389/fpls.2026.1941698
Original Research
Published
Multimodal classification of skin lesions based on lightweight gated low-rank hyper-fusion network
Ke Wang · Tao Zhang · Xingqi Liu · Jiancun Zhou · Qian He · Jianxin He
Frontiers in Digital Health
doi 10.3389/fdgth.2026.1947161
Original Research
Published
Explainable AI and ESG analytics for sustainable investment decision: the roles of ESG forecast credibility and trust in AI-generated information
M. Vijayananth · R. Muthu Sundari · N. Saravanabhavan
Frontiers in Sustainability
doi 10.3389/frsus.2026.1965649
Original Research
Published
An explainable approach to fake news detection using PSO and mutual information
Harisu Abdullahi Shehu · Paul D. Teal · Jeanelle Frontin · Amr Morssy · Mona Krewel · W. Bastiaan Kleijn
Frontiers in Artificial Intelligence
doi 10.3389/frai.2026.1901946
Original Research
Published
Explainable detection of depression in Arabic tweets: identifying clinically meaningful linguistic markers using SHAP
Erfan Salehi · Maryam Raissi · Amirhossein Rasouli · Wajdi Zaghouani
Frontiers in Artificial Intelligence
doi 10.3389/frai.2026.1917139
Original Research
Published
R-GCRED: a retrieval-grounded and calibrated risk estimation for depression prediction and screening recommendation framework
Firas Saidi · Marwa Almulla
Frontiers in Artificial Intelligence
doi 10.3389/frai.2026.1931579
Original Research
Published
Subject-independent classification of ADHD from pediatric EEG: a leakage-aware deep learning framework with interpretable neurophysiological mapping
M. Geethapriya · Kalyanaraman Pattabiraman
Frontiers in Neuroscience
doi 10.3389/fnins.2026.1925266
Perspective
Published
How AI-based techniques for brain tumour diagnosis can address data variability
Paola Lecca · Michela Lecca
Frontiers in Bioinformatics
doi 10.3389/fbinf.2026.1916468
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
Systematic Review
Published
Artificial intelligence, explainable deep learning, and generative models for osteoporosis and bone disease prediction: a systematic review and future research roadmap
M. Raja · Avulapalli Jayaram Reddy
Frontiers in Artificial Intelligence
doi 10.3389/frai.2026.1930437
Review
Published
Intelligent defense at the edge: a comprehensive survey of federated learning, TinyML and explainable AI for intrusion detection in IoT and IIoT ecosystems
S. Sarath Kumar · M. Asha Jerlin
Frontiers in Artificial Intelligence
doi 10.3389/frai.2026.1900815
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
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
STRIVE: interpretable multimodal subtype discovery in Women’s cancers using an attention-weighted joint variational autoencoder
Zunaira Mehmood · Divya Sharma
Frontiers in Bioinformatics
doi 10.3389/fbinf.2026.1901464
Original Research
Published
Beyond segmentation accuracy: understanding model reliability and failure modes in ultrasound image analysis
Agathe Bricout · David Hardman · Scott Inglis · Stephen Pye · Carmel M. Moran
Frontiers in Medical Technology
doi 10.3389/fmedt.2026.1918432
Review
Published
Artificial intelligence for sleep-disordered breathing: a taxonomy of methods, data modalities, and clinical applications
Tai Dinh · Daniil Lisik · Philippe Fournier-Viger · Dat Tran · Philip S. Yu · Huynh Van Hong · Ding Zou
Frontiers in Sleep
doi 10.3389/frsle.2026.1927453
Review
Published
Artificial intelligence and computational methods in the Asia-Pacific pharmacovigilance landscape: a systematic review
Gita Kusnadi · Grace Wangge · Arif Perdana
International Journal of Public Health
doi 10.3389/ijph.2026.1610026
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: Smart forecasting: deep learning and explainable AI for real-world time series prediction
Leonard Barolli · Antonino Ferraro · Antonio Galli · Francesco Moscato
Frontiers in Big Data
doi 10.3389/fdata.2026.1954626
Original Research
Published
GRALIS-Report: auditable region-level attribution and structured clinical report generation for breast cancer histology
Raimondo Fanale
Frontiers in Imaging
doi 10.3389/fimag.2026.1885292
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
Review
Published
Machine learning-enabled formulation development of implantable drug delivery systems for precision medicine: from ocular and cochlear implants to personalized therapeutics
Rohini Ganvenwaer · Shaktiprasad Pradhan · Kranti Jadhav · Kuldeep Vinchurkar · Rohit Ramesh Doke
Frontiers in Biomaterials Science
doi 10.3389/fbiom.2026.1927008
Review
Published
Tracing the geographical origin of forest-sourced medicinal materials by hyperspectral imaging: a critical review for smart forestry
Ming Ding · Zhengwei Chen · Haili Gao · Lijuan Chen · Sufang Han
Frontiers in Forests and Global Change
doi 10.3389/ffgc.2026.1921308
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
Original Research
Published
Explainable deep learning with novel marine domain metrics for oil spill detection
Tokula I. Umaha · Felix Ale · Ikpaya D. Ikpaya · John A. Momoh · Steve A. Adeshina · Humbulani Simon Phuluwa · Ilesanmi A. Daniyan
Frontiers in Mechanical Engineering
doi 10.3389/fmech.2026.1919085
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
Interpretable AI for neural signal decoding in dementia: an EEG ensemble approach to differential diagnosis
Fawad Muhammad · Irfan Ahmed Usmani · Muhammad Aamir · Mai Alduailij · Mehrez Marzougui · Rab Nawaz
Frontiers in Neuroinformatics
doi 10.3389/fninf.2026.1902549
Review
Published
Human factors engineering in intelligent medical devices: paradigm evolution, core issues and frontier prospects
Huiling Hu · Ran LI · Yong Yin · Yixi Liu · Xue Wang
Frontiers in Industrial Engineering
doi 10.3389/fieng.2026.1854270
Original Research
Published
InfoMedex: drug-drug interaction prediction via a multimodal CNN-transformer model
Andrew Disharoon · Shifi Pasupuleti · Clark Thurston · Matt Fiore · Sadie McKenzie · Alysia Smith · Aaron J. Masino
Frontiers in Drug Safety and Regulation
doi 10.3389/fdsfr.2026.1841035
Original Research
Published
Enhancing IoT botnet detection with explainable ensemble learning
Linda Joseph · Sambath M. · Vivekanandan M.
Frontiers in Big Data
doi 10.3389/fdata.2026.1811967
Review
Published
Artificial intelligence in aquaculture: human-centered innovation, ethical governance, and data foundations for sustainable blue growth
Jaynos R. Cortes
Frontiers in Aquaculture
doi 10.3389/faquc.2026.1907758
Original Research
Published
An explainable AI framework integrating deep learning and large language model for student’s mental health
Rupali D. Kasar · Garima Shukla
Frontiers in Signal Processing
doi 10.3389/frsip.2026.1893420
Review
Published
A generative AI multi-agent framework with integrated XAI governance for cancer diagnostics: from multi-omics interpretation to lifestyle risk stratification
Chamseddine Barki · Mariem Chouchen · Afef Sediri · Halil İbrahim Ceylan · Hanene Boussi Rahmouni · Raul Ioan Muntean · Hesham R. El-Seedi · Nicola Luigi Bragazzi · Ismail Dergaa
Frontiers in Systems Biology
doi 10.3389/fsysb.2026.1892418
Original Research
Published
Cyber-resilient flight architecture for software-defined UAVs using digital twin-based validation
I. C. Emeto · A. G. Adamu · I. H. Ezeh · E. C. Ochuba · C. A. Okoloegbo
Frontiers in Future Transportation
doi 10.3389/ffutr.2026.1827528
Original Research
Published
Explainable 3D vision transformer framework for detecting brain anomalies in neuropsychiatric subtypes of Parkinson's disease
Carlos Jiménez-Farfán · Alisson Constantine-Macias · Isaac León · Juan Pisco-Jordán · Luis Ramos-Pozo · Enrique Pelaez · Ana Tapia-Rosero · Edwin Valarezo-Añazco · Ignacio Obeso · Ana Briones-Chonillo · Maria José Miranda · Luis Yepez-Guerra · Francis R. Loayza
Frontiers in Neuroinformatics
doi 10.3389/fninf.2026.1810223
Original Research
Published
Closed-loop AI-integrated smart nanomaterial sensor-separation platform for real-time detection and adaptive capture of emerging pollutants in water systems
R Yasir Abdullah · U Barakkath Nisha
Frontiers in Environmental Chemistry
doi 10.3389/fenvc.2026.1892651
Original Research
Published
An explainable AI-driven hybrid SE-transformer architecture for robust knee osteoporosis classification from X-ray data
Sudhir Kumar Sangula · Siddique Ibrahim S. P.
Frontiers in Signal Processing
doi 10.3389/frsip.2026.1853106
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
Original Research
Published
Cross-modal privacy-preserving synthesis and mixture-of-experts ensemble for robust ASD prediction
J. Revathy · Karthiga M.
Frontiers in Neuroinformatics
doi 10.3389/fninf.2025.1679196
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
Securing the future: AI-driven cybersecurity in the age of autonomous IoT
Fabian Chukwudi Ogenyi · Chinyere Nneoma Ugwu · Okechukwu Paul-Chima Ugwu
Frontiers in the Internet of Things
doi 10.3389/friot.2025.1658273
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