相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy et al.
NPJ DIGITAL MEDICINE (2021)
Understanding Deep Learning (Still) Requires Rethinking Generalization
Chiyuan Zhang et al.
COMMUNICATIONS OF THE ACM (2021)
Federated learning improves site performance in multicenter deep learning without data sharing
Karthik Sarma et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2021)
How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
Eric Wu et al.
NATURE MEDICINE (2021)
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
Guangyu Wang et al.
NATURE BIOMEDICAL ENGINEERING (2021)
Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression
Yiwen Meng et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)
Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images
Manoj Kumar Kanakasabapathy et al.
NATURE BIOMEDICAL ENGINEERING (2021)
Synthetic data in machine learning for medicine and healthcare
Richard J. Chen et al.
NATURE BIOMEDICAL ENGINEERING (2021)
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Qi Dou et al.
NPJ DIGITAL MEDICINE (2021)
Federated Learning for Healthcare Informatics
Jie Xu et al.
JOURNAL OF HEALTHCARE INFORMATICS RESEARCH (2021)
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee et al.
BIOINFORMATICS (2020)
MedGAN: Medical image translation using GANs
Karim Armanious et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2020)
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney et al.
NATURE (2020)
EXCLUSIVE Babylon Health holds talks with significant number of NHS trusts
Gareth Iacobucci
BMJ-BRITISH MEDICAL JOURNAL (2020)
Inconsistent Performance of Deep Learning Models on Mammogram Classification
Xiaoqin Wang et al.
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2020)
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
Li Huang et al.
PLOS ONE (2020)
Racial disparities in automated speech recognition
Allison Koenecke et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)
BEHRT: Transformer for Electronic Health Records
Yikuan Li et al.
SCIENTIFIC REPORTS (2020)
Video-based AI for beat-to-beat assessment of cardiac function
David Ouyang et al.
NATURE (2020)
A deep learning system for differential diagnosis of skin diseases
Yuan Liu et al.
NATURE MEDICINE (2020)
A mountable toilet system for personalized health monitoring via the analysis of excreta
Seung-min Park et al.
NATURE BIOMEDICAL ENGINEERING (2020)
Generalizing from a Few Examples: A Survey on Few-shot Learning
Yaqing Wang et al.
ACM COMPUTING SURVEYS (2020)
Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis
Tyler Wagner et al.
ELIFE (2020)
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Yiqiang Chen et al.
IEEE INTELLIGENT SYSTEMS (2020)
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
Micah J. Sheller et al.
SCIENTIFIC REPORTS (2020)
Multi-site fMRI analysis using privacy-preserving fe derate d learning and domain adaptation: ABIDE results
Xiaoxiao Li et al.
MEDICAL IMAGE ANALYSIS (2020)
Illuminating the dark spaces of healthcare with ambient intelligence
Albert Haque et al.
NATURE (2020)
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu et al.
NATURE MEDICINE (2020)
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera et al.
NATURE MEDICINE (2020)
Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model
Ameer E. Hassan et al.
INTERVENTIONAL NEURORADIOLOGY (2020)
Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning
Wanshan Ning et al.
NATURE BIOMEDICAL ENGINEERING (2020)
External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19
Matthew Barish et al.
NATURE MACHINE INTELLIGENCE (2020)
Multi-task deep learning for cardiac rhythm detection in wearable devices
Jessica Torres-Soto et al.
NPJ DIGITAL MEDICINE (2020)
Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic
Emre Sezgin et al.
NPJ DIGITAL MEDICINE (2020)
Impact of a deep learning assistant on the histopathologic classification of liver cancer
Amirhossein Kiani et al.
NPJ DIGITAL MEDICINE (2020)
Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study
Mintu P. Turakhia et al.
AMERICAN HEART JOURNAL (2019)
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection
Avi Ben-Cohen et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)
Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning
Alvin Rajkomar et al.
JAMA INTERNAL MEDICINE (2019)
Deep CT to MR Synthesis Using Paired and Unpaired Data
Cheng-Bin Jin et al.
SENSORS (2019)
Self-attention convolutional neural network for improved MR image reconstruction
Yan Wu et al.
INFORMATION SCIENCES (2019)
Estimating the success of re-identifications in incomplete datasets using generative models
Luc Rocher et al.
NATURE COMMUNICATIONS (2019)
Key challenges for delivering clinical impact with artificial intelligence
Christopher J. Kelly et al.
BMC MEDICINE (2019)
Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks
Salman U. H. Dar et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Identification of Anonymous MRI Research Participants with Face-Recognition Software
Christopher G. Schwarz et al.
NEW ENGLAND JOURNAL OF MEDICINE (2019)
Dissecting racial bias in an algorithm used to manage the health of populations
Ziad Obermeyer et al.
SCIENCE (2019)
Pros and cons of GAN evaluation measures
Ali Borji
COMPUTER VISION AND IMAGE UNDERSTANDING (2019)
Cycle-consistent adversarial denoising network for multiphase coronary CT angiography
Eunhee Kang et al.
MEDICAL PHYSICS (2019)
A guide to deep learning in healthcare
Andre Esteva et al.
NATURE MEDICINE (2019)
The practical implementation of artificial intelligence technologies in medicine
Jianxing He et al.
NATURE MEDICINE (2019)
High-performance medicine: the convergence of human and artificial intelligence
Eric J. Topol
NATURE MEDICINE (2019)
Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)-Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study
Fei Li et al.
JMIR MEDICAL INFORMATICS (2019)
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression
Daniele Ravi et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT III (2019)
FEDERATED LEARNING IN DISTRIBUTED MEDICAL DATABASES: META-ANALYSIS OF LARGE-SCALE SUBCORTICAL BRAIN DATA
Santiago Silva et al.
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019) (2019)
Enhancing clinical concept extraction with contextual embeddings
Yuqi Si et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2019)
Generation of Structural MR Images from Amyloid PET: Application to MR-Less Quantification
Hongyoon Choi et al.
JOURNAL OF NUCLEAR MEDICINE (2018)
Federated learning of predictive models from federated Electronic Health Records
Theodora S. Brisimi et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2018)
Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
Seung Seog Han et al.
JOURNAL OF INVESTIGATIVE DERMATOLOGY (2018)
Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Hajar Emami et al.
MEDICAL PHYSICS (2018)
SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation
Yuan Xue et al.
NEUROINFORMATICS (2018)
Design AI so that it's fair
James Zou et al.
NATURE (2018)
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
Maayan Frid-Adar et al.
NEUROCOMPUTING (2018)
Machine Learning and Health Care Disparities in Dermatology
Adewole S. Adamson et al.
JAMA DERMATOLOGY (2018)
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
Matthieu Komorowski et al.
NATURE MEDICINE (2018)
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Pranav Rajpurkar et al.
PLOS MEDICINE (2018)
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
John R. Zech et al.
PLOS MEDICINE (2018)
Artificial intelligence in healthcare
Kun-Hsing Yu et al.
NATURE BIOMEDICAL ENGINEERING (2018)
Modelling the Progression of Alzheimer's Disease in MRI Using Generative Adversarial Networks
Christopher Bowles et al.
MEDICAL IMAGING 2018: IMAGE PROCESSING (2018)
Scalable and accurate deep learning with electronic health records
Alvin Rajkomar et al.
NPJ DIGITAL MEDICINE (2018)
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training
Wen Wei et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, PT III (2018)
Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
Matteo Maspero et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
Michael D. Abramoff et al.
NPJ DIGITAL MEDICINE (2018)
Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis
Junghye Lee et al.
JMIR MEDICAL INFORMATICS (2018)
Calibration drift in regression and machine learning models for acute kidney injury
Sharon E. Davis et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2017)
Efficiency and safety of speech recognition for documentation in the electronic health record
Tobias Hodgson et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Understanding the Sparse Vector Technique for Differential Privacy
Min Lyu et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2017)
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj et al.
CCS'17: PROCEEDINGS OF THE 2017 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (2017)
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)
Lei Bi et al.
MOLECULAR IMAGING, RECONSTRUCTION AND ANALYSIS OF MOVING BODY ORGANS, AND STROKE IMAGING AND TREATMENT (2017)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
MIMIC-III, a freely accessible critical care database
Alistair E. W. Johnson et al.
SCIENTIFIC DATA (2016)
A task-level adaptive Map Reduce framework for real-time streaming data in healthcare applications
Fan Zhang et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2015)
A comparison of models for predicting early hospital readmissions
Joseph Futoma et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2015)
A targeted real-time early warning score (TREWScore) for septic shock
Katharine E. Henry et al.
SCIENCE TRANSLATIONAL MEDICINE (2015)
Stream processing of healthcare sensor data: studying user traces to identify challenges from a big data perspective
Rudyar Cortes et al.
6TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2015), THE 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2015) (2015)
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
Matt Fredrikson et al.
CCS'15: PROCEEDINGS OF THE 22ND ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (2015)
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
Rich Caruana et al.
KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2015)