Clinical Prediction

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Period ending 2026-09-21

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139 papers

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Interpretable machine learning predicts Parkinson's disease severity using motion-corrected QSM MRI and multiband multiecho fMRI features
Jun 26, 2026Aixa X. AndradeParkinson Biomarker
A Causal Foundation Model for Structure and Outcome Prediction
Jun 25, 2026Max Zhu, Martino Mansoldo, Ching-Hao Wang +1Causal Foundation Models Causal Reasoning
KG-TRACE: A Neuro-Symbolic Framework for Mechanistic Grounding in Antimicrobial Resistance Prediction
Jun 24, 2026Naman Garg, Sarika Jain, Sourav Yadav +4Genomics Clinical Prediction
Cross-Attention Multimodal Learning for Predicting Response to Neoadjuvant Imatinib in Gastrointestinal Stromal Tumors: A Multicenter Retrospective Study
Jun 24, 2026Fariba Tohidinezhad, Douwe J. Spaanderman, Natalia Oviedo Acosta +14Colorectal Cancer Clinical Prediction
Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly Algorithm and GAN Oversampling
Jun 22, 2026Ahnaf Atef Choudhury, Shahriar Siddique Ayon, Md. Ebrahim Hossain +1Mental Health Clinical Prediction
Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinical Features: Machine Learning Model Development and Temporal Validation
Jun 19, 2026Basheer Qolomany, Mrinalini Deverapall, Adeyinka Laiyemo +5Colonoscopy Colorectal Cancer
Beyond Accuracy: Measuring Logical Compliance of Predictive Models
Jun 18, 2026Guillaume Olivier Delplanque, Pierre Genevès, Nabil Layaïda +1Clinical Prediction Reward-Prediction Error
Measurement noise limits the advantage of nonlinear models over linear models in biomedical prediction
Jun 16, 2026Marc-Andre Schulz, Kerstin RitterLogistic Regression Clinical Prediction
The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance
Jun 15, 2026Csaba Kiss, Roland Molontay, Gabriele PergolaCausal Inferences Model Selection
Beyond the Blood Draw: Explainable Machine Learning for Non-Invasive Dysglycemia Risk Screening
Jun 14, 2026Black Sun, Chenyi Zhang, Kaiyi Ji +1Hypoglycemia Classification Clinical Prediction
Trusting Right Predictions for Wrong Reasons: A LIME Based Analysis of Deep Learning Interpretability in Lung Cancer Diagnosis
Jun 14, 2026Samarpan Poudel, Vladislav D VekslerNon-Small Cell Lung Cancer Model Interpretability
iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis
Jun 12, 2026Farica Zhuang, Seong Woo Han, Zixuan Wen +3Survival Predictions Alzheimer
The Metric Picks the Winner: Evaluation Choice Flips Model Rankings for Drug-Response Prediction in Unseen Chemistry
Jun 10, 2026Dhruv Agarwal, Riya BishtDrug-Drug Interactions Clinical Prediction
AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction
Jun 10, 2026Jiawei Niu, Jian Chen, Di Zhang +8Multiple Instance Learning Computational Pathology
A prior-free blind detection of information leakage from model predictions
Jun 9, 2026Laurence A. JacobsLeakage Data Leakage
Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction
Jun 9, 2026Buxin Su, Bingxuan Li, Cheng Qian +3Clinical Prediction Supervised Fine-Tuning
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Jun 4, 2026Yanqing Luo, Julius Hense, Niklas Prenißl +4Multiple Instance Learning Computational Pathology
HoT-SSM:Higher-order Temporal Knowledge Graph Reasoning with State Space Models for Health Care
Jun 4, 2026Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Yash Punjabi +1Temporal Knowledge Graphs Clinical Prediction
An interpretable and trustworthy AI framework for large-scale longitudinal structure-pain association studies using data from the Osteoarthritis Initiative (OAI)
Jun 3, 2026Jincheng Yu, Haoyang Li, Yiwen Liu +5Knee Osteoarthritis Clinical Prediction
New Benchmarking Shows Limited Generalization Power of TCR Antigenic Epitope Prediction Models
Jun 3, 2026Yiming Liao, Yiheng Li, Ning Jiang +2Epitope Prediction Clinical Prediction
D2MDT: Department-aware Multidisciplinary Team Consultation with Deliberation for Efficient Clinical Prediction
Jun 2, 2026Yongqi Liang, Qidong Liu, Chunze Yang +4Clinical Prediction Multimodal Clinical Data
The Language of Elution: Autoregressive Prediction of the Next Feature in Untargeted LC-HRMS Lipidomics
Jun 2, 2026Dayanjan S. WijesingheTandem Mass Spectra Metabolic
ChatHealthAI: Aligning Electronic Health Record Representations with Large Language Models for Grounded Clinical Reasoning
Jun 1, 2026Bo-Hong Wang, Baicheng Peng, Ruilin Wang +3Electronic Health Record Foundation Models Electronic Health Records
Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
Jun 1, 2026Ashwin Singh, Carlos CastilloClinical Prediction Logistic Regression
Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel
Jun 1, 2026Zahra Tabatabaei, Jon Sporring, Mark Bremholm Ellebæk +1Colorectal Cancer Clinical Prediction
A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models
May 30, 2026Kara Liu, Maggie Wang, Russ B. AltmanSelection Bias Model Selection
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
May 28, 2026Shu Wan, Abhinav Gorantla, Huan Liu +1Tabular Learning Clinical Prediction
Transfer Learning using 66 Diseases for Disease Forecasting Applications
May 26, 2026Lauren J Beesley, Alexander C Murph, Dave Osthus +1Epidemic Forecasting Clinical Prediction
Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes
May 24, 2026Mini Han Wang, Liting Huang, Wei Hong +1Interpretable Diabetic Retinopathy Grading Hypoglycemia Classification
Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction
May 22, 2026Siqi Li, Chuan Hong, Ziye Tian +9Clinical Prediction Covariate Shift
Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis
May 22, 2026Yuwei Xue, Sakib Mostafa, James Zou +5Biomedical Knowledge Graph Graph Representation Learning
Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies
May 21, 2026Junyu Yan, Damian Machlanski, Kurt Butler +4Explainable Artificial Intelligence Clinical Prediction
Calibration, Uncertainty Communication, and Deployment Readiness in CKD Risk Prediction: A Framework Evaluation Study
May 20, 2026Michael O. EnioladeChronic Kidney Disease Clinical Prediction
Training distribution determines the ceiling of drug-blind cancer sensitivity prediction
May 20, 2026Taekyung HeoDrug-Drug Interactions Cancer Genome Atlas
CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support
May 19, 2026Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora +1Clinical Prediction Conformal Calibration
Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screening
May 18, 2026Muskaan Chopra, Lorenz Sparrenberg, Jan H. Terheyden +1Interpretable Diabetic Retinopathy Grading Self-Supervised
From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction
May 16, 2026Pujun Feng, Xiaoyu Guo, Seyed Ehsan Saffari +10Clinical Prediction Clinical Decision Support
MedMIX: Modality-Internal Expert Fusion for Multimodal Medical Diagnosis
May 15, 2026Seungik Cho, Anqi Li, Wei QiuMultimodal Clinical Data Missing Modalities
Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search
May 15, 2026Sarah Martinson, Michael P. Brenner, Martyna Plomecka +3Epidemic Forecasting Clinical Prediction
DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System
May 14, 2026Yunying Zhu, Andrew R Weckstein, Kueiyu Joshua Lin +1Electronic Health Record Foundation Models Clinical Prediction
Reducing cross-sample prediction churn in scientific machine learning
May 13, 2026Gordan Prastalo, Kevin Maik JablonkaCross Validation Churn Prediction
Training Large Language Models to Predict Clinical Events
May 12, 2026Benjamin Turtel, Paul Wilczewski, Kris SkotheimClinical Prediction Longitudinal
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
May 12, 2026Mingcheng Zhu, Zhiyao Luo, Yu Liu +1Next-Token Prediction LLM Inference Efficiency
Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging
May 11, 2026Zubair Faruqui, Rahul DubeyModel Interpretability Multiple Instance Learning
Medical Model Synthesis Architectures: A Case Study
May 10, 2026Katherine M. Collins, Marlene Berke, Ilia Sucholutsky +6Clinical Prediction Artificial Intelligence Systems
Active Multiple-Prediction-Powered Inference
May 8, 2026Nicholas Brawand, Nima Leclerc, Anhthy Ngo +4Clinical Prediction Active Perception
Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models
May 7, 2026Jose Benitez-Aurioles, Ricardo Silva, Brian McMillan +1Clinical Prediction Chronic Kidney Disease
An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data
May 7, 2026Wing Yi Yu, Chun Yin ChiuNutrient Reasoning Clinical Prediction
Beyond Semantics: An Evidential Reasoning-Aware Multi-View Learning Framework for Trustworthy Mental Health Prediction
May 6, 2026Yucheng Ruan, Ling Huang, Qika Lin +2Mental Health Clinical Prediction
Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data
May 5, 2026He Lyu, Huolin Zeng, Junren Wang +7Multimodal Clinical Data Clinical Prediction
An explainable hypothesis-driven approach to Drug-Induced Liver Injury with HADES
May 4, 2026Maciej Wisniewski, Bartosz Topolski, Pawel Dabrowski-Tumanski +2Drug-Drug Interactions Clinical Prediction
Gradient Boosted Risk Scores
May 4, 2026Costa Georgantas, Jonas RichiardiGradient Boosted Tree Clinical Prediction
H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction
May 4, 2026Zhexi Gu, Jiaxin Ying, Xu-Wen Wang +1Zero-Shot Link Prediction Clinical Prediction
ISAAC: Auditing Causal Reasoning in Deep Models for Drug-Target Interaction
May 3, 2026Barbara Tarantino, Sun Kim, Yijingxiu Lu +1Clinical Prediction Diagnostic Benchmark
ReMedi: Reasoner for Medical Clinical Prediction
May 2, 2026Yushi Cao, Yiming Chen, Hongchao Jiang +2Clinical Prediction Electronic Health Records
EFGPP: Exploratory framework for genotype-phenotype prediction
May 2, 2026Muhammad Muneeb, David B. AscherPhenotypes Clinical Prediction
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction
Apr 29, 2026Jinjiang Guo, Sheng DingDrug Discovery Clinical Prediction
Radiomics- and Clinical Feature-Driven Prediction of Volumetric Response in Skull-Base Meningioma after CyberKnife Radiosurgery
Apr 27, 2026Yin Lin, Elena De Martin, Giacomo Conte +6Radiomics Radiotherapy
Agentic AI platforms for autonomous training and rule induction of human-human and virus-human protein-protein interactions
Apr 27, 2026Hung N. Do, Jessica Z. Kubicek-Sutherland, Oscar A. Negrete +1Human-Ai Collaboration Clinical Prediction
Where are they looking in the operating room?
Apr 22, 2026Keqi Chen, Séraphin Baributsa, Lilien Schewski +5Gaze Target Estimation Computer Vision

Jun 26, 2026 · cs.CVJ/K move · Enter open · S save

Interpretable machine learning predicts Parkinson's disease severity using motion-corrected QSM MRI and multiband multiecho fMRI features

Aixa X. Andrade

Introduction: Objective neuroimaging biomarkers may improve Parkinson's disease motor assessment by capturing brain variation not directly observable from clinical examination. We used interpretable machine learning to predict current motor severity, measured by MDS-UPDRS Part III, from QSM and multiband multi-echo resting-state fMRI-derived ReHo features. Methods: Regional QSM and ReHo features were extracted from 28 participants, including 24 individuals with Parkinson's disease and 4 controls. Thirteen feature-set experiments evaluated imaging-only, clinical-only, imaging-plus-clinical, full, reduced, and multimodal inputs. Support vector regression, Elastic Net, Random Forest, and XGBoost models were trained using nested cross-validation. Performance was assessed using pooled held-out R^2, RMSE, MAE, Pearson correlation, permutation testing, and the proportion of participants predicted within +/-5 MDS-UPDRS Part III points. Results: Imaging-only models carried meaningful predictive signal, whereas the clinical-only model performed weakly. Full fMRI, full QSM, and clinical variables provided the strongest global fit, explaining 45.4% of variance in motor severity. Selected QSM plus clinical variables produced the most clinically close predictions, with 75.0% of participants predicted within +/-5 points and the lowest MAE among top-performing models. SHAP highlighted cerebellar, thalamic, striatal, insular, and motor cortical features. Conclusion: QSM and multiband multi-echo fMRI-derived ReHo capture distinct, interpretable dimensions of Parkinson's disease motor severity. These findings show that structural and functional imaging contribute differently depending on the clinical prediction goal.

Parkinson Biomarker Brain Magnetic Resonance Imaging Clinical Prediction Calibrated Severity

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