Original ResearchPublished 12 October 2026Explainable machine learning for identifying high-risk Alzheimer's disease and key health characteristics among community-dwelling adultsHuanhuan Zhao · Bai Qin · Zengli Zou · Pingjing WenFrontiers in Public Healthdoi 10.3389/fpubh.2026.1943300
Original ResearchPublished 9 October 2026Explainable AI in educational data mining: LightGBM and SHAP for enhancing learner performance predictionZakaria Alj · Anas BouayadFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1954446
Original ResearchPublished 9 October 2026Phenotyping of AMI patients using machine learning: integration of clinical, metabolic, and behavioral features to identify high-risk “frailty–inflammation” phenotypeYisha Zhao · Wendi Ding · Hongyi Li · Songqi Guo · Yuying FanFrontiers in Cardiovascular Medicinedoi 10.3389/fcvm.2026.1881280
Original ResearchPublished 9 October 2026A machine learning model for predicting cognitive improvement after scalp cluster needling therapy in patients with post-stroke mild cognitive impairmentYican Hao · Xia Wei · Pingli Zhao · Hewei QinFrontiers in Neurologydoi 10.3389/fneur.2026.1884682
Original ResearchPublished 8 October 2026Association of NT-proBNP/LVEF with angiographic coronary disease burden in acute myocardial infarction: a retrospective study with machine learning analysesZhongxin Li · Jiantong Hou · Linqing Li · Xianzhao Zhang · Qingrong JiFrontiers in Cardiovascular Medicinedoi 10.3389/fcvm.2026.1964997
Original ResearchPublished 7 October 2026Concomitant acromioplasty is associated with enhanced structural healing, long-term durability, and functional outcomes in arthroscopic rotator cuff repair: a retrospective propensity score and causal machine-learning analysisYucheng Song · Liang Zhao · Can Liu · Yijun WangFrontiers in Bioengineering and Biotechnologydoi 10.3389/fbioe.2026.1840528
Original ResearchPublished 6 October 2026Subject-independent classification of ADHD from pediatric EEG: a leakage-aware deep learning framework with interpretable neurophysiological mappingM. Geethapriya · Kalyanaraman PattabiramanFrontiers in Neurosciencedoi 10.3389/fnins.2026.1925266
Original ResearchPublished 1 October 2026Eye-movement-based machine learning for identifying Parkinson’s disease dementia in a retrospective cohort: an interpretable model-development studyJing Wu · Qing Liu · Song Yang · Yuqing Zhang · Yuanlu Shu · Junwen Wang · Min Wu · Tian TianFrontiers in Aging Neurosciencedoi 10.3389/fnagi.2026.1935091
Original ResearchPublished 1 October 2026Data-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 LankaNiroshan Sanjaya Bandara · Amila Buddhika Jayasinghe · Günther RetscherFrontiers in Sustainabilitydoi 10.3389/frsus.2026.1928065
Original ResearchPublished 30 September 2026Prediction of cognitive impairment in Parkinson’s disease using TabPFN: an integrative analysis of clinical data, longitudinal trajectories, and lipidomicsZikai Zhou · Jie Liu · Lijuan Wang · Hong Lv · Wencan Jiang · Ling Huang · Guojun Zhang · Ruimin MaFrontiers in Aging Neurosciencedoi 10.3389/fnagi.2026.1905374
Original ResearchPublished 17 September 2026Spatial patterns of soil multifunctionality trade-offs and their relationships with microbial diversity in warm-temperate mountain forests of North ChinaXin Li · Wenzhi Zhou · Suyan Li · Xiangyang Sun · Libing He · Hongzhou Wang · Ben ChenFrontiers in Forests and Global Changedoi 10.3389/ffgc.2026.1897903
Original ResearchPublished 8 September 2026Accounting for terrain in neighborhood competition: fused UAV and backpack LiDAR for fine-scale volume estimation in Chinese fir (Cunninghamia lanceolata) plantationsTianhui Xu · Dandan Li · Fan Wang · Yuman Sun · Honggang SunFrontiers in Forests and Global Changedoi 10.3389/ffgc.2026.1894535
Original ResearchPublished 31 August 2026Revealing spatial inequalities in flood exposure across São Paulo State, BrazilManuel Mendoza Colos · Luca Calçada Dolim Marote · Guilherme Palermo Coelho · Ana Elisa Silva de Abreu · Saket Pande · Shasha Han · Murilo Cesar LucasFrontiers in Waterdoi 10.3389/frwa.2026.1857531
Original ResearchPublished 21 August 2026Development and internal validation of a machine learning-based clinical decision support tool for surgical intervention in degenerative lumbar spondylolisthesis: a retrospective MRI studyJie Ma · Hengjun WangFrontiers in Musculoskeletal Disordersdoi 10.3389/fmscd.2026.1919288
Original ResearchPublished 12 August 2026Enhancing IoT botnet detection with explainable ensemble learningLinda Joseph · Sambath M. · Vivekanandan M.Frontiers in Big Datadoi 10.3389/fdata.2026.1811967
Original ResearchPublished 11 August 2026Constructing a Bayesian neural network model for the cross-sectional classification of psychological distress among older adults: comprehensive analysis of humor styles, communication skills, and physical activity experiencesKeishi Soga · Keita Kamijo · Takuji Kawamura · Akari Uno · Yasuyuki TakiFrontiers in Research Metrics and Analyticsdoi 10.3389/frma.2026.1882045
Original ResearchPublished 3 August 2026An explainable AI framework integrating deep learning and large language model for student’s mental healthRupali D. Kasar · Garima ShuklaFrontiers in Signal Processingdoi 10.3389/frsip.2026.1893420
Original ResearchPublished 8 July 2026Closed-loop AI-integrated smart nanomaterial sensor-separation platform for real-time detection and adaptive capture of emerging pollutants in water systemsR Yasir Abdullah · U Barakkath NishaFrontiers in Environmental Chemistrydoi 10.3389/fenvc.2026.1892651
Original ResearchPublished 15 June 2026A quantitative framework for explainability assessment in medical imagingRaimondo Fanale · Roberto Caldelli · Barbara Martini · Filippo SciarroneFrontiers in Imagingdoi 10.3389/fimag.2026.1846414
Original ResearchPublished 26 May 2026Development and internal validation of an interpretable machine-learning model for identifying comorbid atrial fibrillation in patients with diabetic kidney diseaseXiaoran Li · Xueying Wang · Shidong Wang · Xuebing ZhangFrontiers in Clinical Diabetes and Healthcaredoi 10.3389/fcdhc.2026.1785125
Original ResearchPublished 15 May 2026Winter warming and snowpack loss synergistically drive amphibian and reptile extirpation: a deep learning attribution study of climatic mechanismsWisam BukaitaFrontiers in Amphibian and Reptile Sciencedoi 10.3389/famrs.2026.1841535
