Artificial intelligence-based methods for fusion of electronic health records and imaging data

A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics

(2022) Muhammad Adeel Azam et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An overview of deep learning methods for multimodal medical data mining

(2022) Fatemeh Behrad et al.   EXPERT SYSTEMS WITH APPLICATIONS

Richer fusion network for breast cancer classification based on multimodal data

(2021) Rui Yan et al.   BMC Medical Informatics and Decision Making

Deep learning for predicting COVID-19 malignant progression

(2021) Cong Fang et al.   MEDICAL IMAGE ANALYSIS

Alzheimer's classification using dynamic ensemble of classifiers selection algorithms: A performance analysis

(2021) Muhammed Niyas K. P. et al.   Biomedical Signal Processing and Control

Deep Learning for Automated Diabetic Retinopathy Screening Fused With Heterogeneous Data From EHRs Can Lead to Earlier Referral Decisions

(2021) Min-Yen Hsu et al.   Translational Vision Science & Technology

Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning

(2021) Abdulrhman Fahad Aljouie et al.   Journal of Multidisciplinary Healthcare

Multimodal deep learning for biomedical data fusion: a review

(2021) Sören Richard Stahlschmidt et al.   BRIEFINGS IN BIOINFORMATICS

A comprehensive survey on multimodal medical signals fusion for smart healthcare systems

(2021) Ghulam Muhammad et al.   Information Fusion

Early MCI-to-AD Conversion Prediction Using Future Value Forecasting of Multimodal Features

(2021) Sidra Minhas et al.   Computational Intelligence and Neuroscience

Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants

(2021) Lili He et al.   Frontiers in Neuroscience

A proof of concept machine learning analysis using multimodal neuroimaging and neurocognitive measures as predictive biomarker in bipolar disorder

(2020) Rashmin Achalia et al.   Asian Journal of Psychiatry

Distant metastasis prediction via a multi-feature fusion model in breast cancer

(2020) Wenjuan Ma et al.   Aging-US

Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning

(2020) Gianluca Brugnara et al.   STROKE

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

(2020) Yu-Dong Zhang et al.   Information Fusion

Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach

(2020) Ming Xu et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

(2020) Shih-Cheng Huang et al.   Scientific Reports

SCNET: A Novel UGI Cancer Screening Framework Based on Semantic-Level Multimodal Data Fusion

(2020) Shuai Ding et al.   IEEE Journal of Biomedical and Health Informatics

Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model

(2020) Yidong Chai et al.   INFORMATION PROCESSING & MANAGEMENT

A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer

(2019) Seung Hyup Hyun et al.   CLINICAL NUCLEAR MEDICINE

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

(2019) Alistair E. W. Johnson et al.   Scientific Data

Deep Learning Role in Early Diagnosis of Prostate Cancer

(2018) Islam Reda et al.   TECHNOLOGY IN CANCER RESEARCH & TREATMENT

PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

(2018) Andrea C. Tricco et al.   ANNALS OF INTERNAL MEDICINE

Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients

(2018) Bjørn H. Ebdrup et al.   PSYCHOLOGICAL MEDICINE

Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme

(2018) Jan C. Peeken et al.   Cancer Medicine

Deep Multimodal Learning: A Survey on Recent Advances and Trends

(2017) Dhanesh Ramachandram et al.   IEEE SIGNAL PROCESSING MAGAZINE

Glaucoma

(2017) Jost B Jonas et al.   LANCET

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Dermatopathologists' concerns and challenges with clinical information in the skin biopsy requisition form: a mixed-methods study

(2015) Nneka I. Comfere et al.   JOURNAL OF CUTANEOUS PATHOLOGY

Creating Value In Health Care Through Big Data: Opportunities And Policy Implications

(2014) Joachim Roski et al.   HEALTH AFFAIRS

MR CLEAN, a multicenter randomized clinical trial of endovascular treatment for acute ischemic stroke in the Netherlands: study protocol for a randomized controlled trial

(2014) Puck SS Fransen et al.   Trials

Provider-to-provider communication in dermatology and implications of missing clinical information in skin biopsy requisition forms: a systematic review

(2013) Nneka I. Comfere et al.   INTERNATIONAL JOURNAL OF DERMATOLOGY

The Inevitable Application of Big Data to Health Care

(2013) Travis B. Murdoch et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A Review of Data Fusion Techniques

(2013) Federico Castanedo   TheScientificWorldJOURNAL