Clinical Prediction

Latest papers 202

30 papers in the last four weeks, up 30% on the four weeks before. 0.2% of all new papers.

Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis
Apr 3, 2026Sokratis J. Anagnostopoulos, George Rovas, Vasiliki Bikia +3Neural Surrogate Modeling Clinical Prediction
Laboratory of Hemodynamics and Cardiovascular Technology, EPFL, Lausanne, Switzerland · Stanford DBDS and HAI, Stanford University, Palo Alto, USA · Medical School, National and Kapodistrian University of Athens, Athens, Greece
Neuropsychiatric Deviations From Normative Profiles: An MRI-Derived Marker for Early Alzheimer's Disease Detection
Apr 1, 2026Synne Hjertager Osenbroch, Lisa Ramona Rosvold, Yao Lu +1Clinical Prediction Alzheimer's Disease Progression Prediction
Department of Computer Science and Electrical Engineering, University of Stavanger, Norway. · Department of Computer Science, University of Putra Malaysia, Selangor, Malaysia. · SMIL, Department of Radiology, Stavanger University Hospital (SUS), Norway.
One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction
Mar 31, 2026Yuxing Lu, Yushuhong Lin, Jason ZhangMulti-Agent Collaboration Clinical Prediction
Georgia Institute of Technology · Peking University
NeoNet: An End-to-End 3D MRI-Based Deep Learning Framework for Non-Invasive Prediction of Perineural Invasion via Generation-Driven Classification
Mar 31, 2026Youngung Han, Minkyung Cha, Kyeonghun Kim +12Clinical Prediction Medical Image Classification
Seoul National University, South Korea · OUTTA, South Korea · Chung-Ang University, South Korea +5
EpiScreen: Early Epilepsy Detection from Electronic Health Records with Large Language Models
Mar 30, 2026Shuang Zhou, Kai Yu, Zaifu Zhan +5Clinical Prediction Clinical NLP
Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, USA · College of Science and Engineering, University of Minnesota, Minneapolis, MN, USA · Department of Neurology, University of Minnesota, Minneapolis, MN, USA
MOOZY: A Patient-First Foundation Model for Computational Pathology
Mar 27, 2026Yousef Kotp, Vincent Quoc-Huy Trinh, Christopher Pal +1Computational Pathology Self-Supervised Pre-Training
CSSE, Concordia University, Montréal, Canada · Mila – Québec AI Institute, Montréal, Canada · CHUM, Université de Montréal, Montréal, Canada +4
A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
Mar 26, 2026Adam Gabet, Sarah Kohn, Guy Lutsker +11Gait Analysis Clinical Prediction
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. · Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel. · Newton VR LTD., Tel Aviv-Yafo, Israel +2
A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study
Mar 25, 2026Yongda Fan, John Wu, Andrea Fitzpatrick +3Neural Network Interpretability Explainability Evaluation
University of Illinois Urbana-Champaign, Champaign, IL 61801, USA · PyHealth · University of Illinois College of Medicine, Chicago, IL 60612, USA
DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
Mar 25, 2026Yuhan Zhao, Jacob Tennant, James Yang +3Oncology Clinical Prediction
Department of Computer Science, North Carolina State University, Raleigh, NC, USA · UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA · Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, USA
Deriving Health Metrics from the Photoplethysmogram: Benchmarks and Insights from MIMIC-III-Ext-PPG
Mar 23, 2026Mohammad Moulaeifard, Philip J. Aston, Peter H. Charlton +1Clinical Prediction Photoplethysmography
AI4Health Department, Oldenburg University, Oldenburg, Germany · Department of Data Science and AI, National Physical Laboratory, Teddington, United Kingdom · School of Mathematics and Physics, University of Surrey, Guildford, United Kingdom +1
Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction
Mar 23, 2026Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1Cross-Modal Knowledge Distillation Clinical Prediction
Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, South Korea · Convergence Research Institute, Sungkyunkwan University, Suwon, South Korea · Department of AI Systems Engineering, Sungkyunkwan University, Suwon, South Korea +1
An Interpretable Machine Learning Framework for Non-Small Cell Lung Cancer Drug Response Analysis
Mar 17, 2026Ann Rachel, Pranav M Pawar, Mithun Mukharjee +2Clinical Prediction
Department of Computer Science, Birla Institute of Technology and Science Pilani, Dubai Campus, Dubai, UAE
Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift
Mar 17, 2026Camille Jimenez Cortes, Philippe Lalanda, German VegaCross-Domain Transfer Learning Few-Shot Domain Adaptation
Université Grenoble Alpes (UGA), France
Code Sharing In Prediction Model Research: A Scoping Review
Mar 16, 2026Thomas Sounack, Raffaele Giancotti, Catherine A. Gao +8Scientific Reproducibility ML Reproducibility
Dana-Farber Cancer Institute · University of Calabria · Northwestern Feinberg School of Medicine +9
Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Mar 16, 2026Alice Natalina Caragliano, Giulia Farina, Fatih Aksu +10Clinical Outcome Prediction Clinical Prediction
Unit of Artificial Intelligence and Computer Systems, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy · Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy · Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy +1
A Hybrid AI and Rule-Based Decision Support System for Disease Diagnosis and Management Using Labs
Mar 16, 2026Muhammad Hammad Maqsood, Mubashir Sajid, Khubaib Ahmed +2Clinical Decision Support Medical Diagnosis
CureMD Research, 80 Pine St 21st Floor, New York, NY 10005, United States
Patient-level validation of a foundation-model pipeline for pediatric lung sounds: physician-annotated adventitious events are recognized, disease groups are not reliably predicted
Mar 15, 2026Izzet Turkalp Akbasli, Oguzhan SerinRespiratory Sound Classification Clinical Prediction
Department of Pediatric Intensive Care Medicine, Life Support Center, Hacettepe University, Ankara, Türkiye · Department of Pediatric Emergency Medicine, Life Support Center, Hacettepe University Faculty of Medicine, Ankara, Türkiye
Benchmarking Open-Source PPG Foundation Models for Biological Age Prediction
Mar 14, 2026N. BragClinical Prediction
Independent Researcher
Fronto-parietal and fronto-temporal EEG coherence as predictive neuromarkers of transcutaneous auricular vagus nerve stimulation response in treatment-resistant schizophrenia: A machine learning study
Mar 14, 2026Yapeng Cui, Ruoxi Yun, Shumin Zhang +16Clinical Outcome Prediction Clinical Prediction
Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xian, 710126, China. · Wearable BCI and Intelligent Rehabilitation Innovation Lab, Guangzhou Institute of Technology, Xidian University, Guangzhou, 510530, China. · School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, 650500, China. +1
LLMs can construct powerful representations and streamline sample-efficient supervised learning
Mar 12, 2026Ilker Demirel, Lawrence Shi, Zeshan Hussain +1Data-Efficient Learning Clinical Prediction
MIT · Harvard Medical School
Survival Meets Classification: A Novel Framework for Early Risk Prediction Models of Chronic Diseases
Mar 12, 2026Shaheer Ahmad Khan, Muhammad Usamah Shahid, Muddassar FarooqClinical Prediction Clinical Risk Prediction
CureMD Research, 80 Pine St 21st Floor, New York, NY 10005, United States
Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
Mar 10, 2026Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi +5Dataset Condensation Clinical Prediction
University of Oxford, Oxford, UK. · Oxford University Hospitals NHS Foundation Trust, Oxford, UK. · GlaxoSmithKline, London, UK +2
EveryQuery: A Promptable Foundation Model for Clinical Prediction Tasks over Electronic Health Records
Mar 9, 2026Payal Chandak, Gregory Kondas, Liat Antwarg Friedman +2Clinical Outcome Prediction Clinical Prediction
Harvard-MIT HST · Columbia University · Harvard Medical School
Brain-WM: Brain Glioblastoma World Model
Mar 8, 2026Chenhui Wang, Boyun Zheng, Liuxin Bao +4Clinical Prediction Oncology
Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200433, China · Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China · School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China +1
Enhancing the Detection of Coronary Artery Disease Using Machine Learning
Mar 6, 2026Karan Kumar Singh, Nikita Gajbhiye, Gouri Sankar MishraMedical Diagnosis Clinical Prediction
Department of Computer Science and Engineering Sharda University, Greater Noida, India
A federated learning framework with knowledge graph and temporal transformer for early sepsis prediction in multi-center ICUs
Mar 6, 2026Yue Chang, Guangsen Lin, Jyun Jie Chuang +3Clinical Prediction Clinical Outcome Prediction
Chengdu Medical College, Chengdu, Sichuan 610500, China · Kunming Medical University, Kunming, Yunnan 650500, China · National Yang Ming Chiao Tung University, Taipei, Taiwan 900, China +2
An interpretable prototype parts-based neural network for medical tabular data
Mar 5, 2026Jacek Karolczak, Jerzy StefanowskiInterpretable ML Prototype-Based Classification
Poznan University of Technology, Institute of Computing Science, ul. Piotrowo 2, 60-695 Poznań, Poland
How important are the genes to explain the outcome - the asymmetric Shapley value as an honest importance metric for high-dimensional features
Mar 5, 2026Mark A. van de Wiel, Jeroen Goedhart, Martin Jullum +1Feature Attribution Shapley Value Attribution
Dept of Epidemiology and Data Science, Amsterdam Public Health research institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands · Norwegian Computing Center, Oslo, Norway
KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry
Mar 5, 2026Micky C Nnamdi, Wenqi Shi, Cheng Wan +4Medical Diagnosis Clinical Prediction
Georgia Institute of Technology Atlanta, Georgia, USA · UT Southwestern Medical Center Dallas, Texas, USA · Shriners Children’s Chicago, Illinois, USA
Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction
Mar 4, 2026Yuewen Huang, Zhitao Ye, Guangnan Feng +3Clinical Outcome Prediction Computational Pathology
Sun Yat-sen University · Department of Nephrology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China

Apr 3, 2026J/K move · Enter open · S save

Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis

Sokratis J. Anagnostopoulos, George Rovas, Vasiliki Bikia, Theodore G. Papaioannou+2

Laboratory of Hemodynamics and Cardiovascular Technology, EPFL, Lausanne, Switzerland · Stanford DBDS and HAI, Stanford University, Palo Alto, USA · Medical School, National and Kapodistrian University of Athens, Athens, Greece

Neural Surrogate Modeling Clinical Prediction PDE Surrogate Modeling

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Cardiovascular modeling has rapidly advanced over the past few decades due to the rising needs for health tracking and early detection of cardiovascular diseases. While 1-D arterial models offer an attractive compromise between computational efficiency and solution fidelity, their application on large populations or for generating large in silico cohorts remains challenging. Certain hemodynamic parameters like the terminal resistance/compliance, are difficult to clinically estimate and often yield non-physiological hemodynamics when sampled naively, resulting in large portions of simulated datasets to be discarded. In this work, we present a systematic framework for training machine learning (ML) models, capable of instantaneous hemodynamic prediction and parameter estimation. We initially start with generating a parametric virtual cohort of patients which is based on the multivariate correlations observed in the large Asklepios clinical dataset, ensuring that physiological parameter distributions are respected. We then train a deep neural surrogate model, able to predict patient-specific arterial pressure and cardiac output (CO), enabling rapid a~priori screening of input parameters. This allows for immediate rejection of non-physiological combinations and drastically reduces the cost of targeted synthetic dataset generation (e.g. hypertensive groups). The model also provides a principled means of sampling the terminal resistance to minimize the uncertainties of unmeasurable parameters. Moreover, by assessing the model's predictive performance we determine the theoretical information which suffices for solving the inverse problem of estimating the CO. Finally, we apply the surrogate on a clinical dataset for the estimation of central aortic hemodynamics i.e. the CO and aortic systolic blood pressure (cSBP).