The Need for Medical Artificial Intelligence That Incorporates Prior Images

An algorithmic approach to reducing unexplained pain disparities in underserved populations

(2021) Emma Pierson et al.   NATURE MEDICINE

Predicting treatment response from longitudinal images using multi-task deep learning

(2021) Cheng Jin et al.   Nature Communications

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

(2021) Arman Eshaghi et al.   Nature Communications

Errors, discrepancies and underlying bias in radiology with case examples: a pictorial review

(2021) Omer Onder et al.   Insights into Imaging

Deep Learning Improves the Temporal Reproducibility of Aortic Measurement

(2021) Alex Bratt et al.   JOURNAL OF DIGITAL IMAGING

Utilization of target lesion heterogeneity for treatment efficacy assessment in late stage lung cancer

(2021) Dung-Tsa Chen et al.   PLoS One

Deep Learning to Determine the Activity of Pulmonary Tuberculosis on Chest Radiographs

(2021) Seowoo Lee et al.   RADIOLOGY

Imaging biomarkers for evaluating tumor response: RECIST and beyond

(2021) Ching-Chung Ko et al.   Biomarker Research

Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence

(2021) Hugo Vrenken et al.   NEUROLOGY

Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning

(2020) Haben Berhane et al.   MAGNETIC RESONANCE IN MEDICINE

Predicting Rectal Cancer Response to Neoadjuvant Chemoradiotherapy Using Deep Learning of Diffusion Kurtosis MRI

(2020) Xiao-Yan Zhang et al.   RADIOLOGY

The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

(2020) Thomas J. Littlejohns et al.   Nature Communications

Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges

(2020) Wenzhong Shi et al.   Remote Sensing

Stroke

(2020) Bruce C V Campbell et al.   LANCET

Implementation of the cloud-based computerized interpretation system in a nationwide lung cancer screening with low-dose CT: comparison with the conventional reading system

(2020) Eui Jin Hwang et al.   EUROPEAN RADIOLOGY

How to Create a Great Radiology Report

(2020) Michael P. Hartung et al.   RADIOGRAPHICS

Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

(2019) Yiwen Xu et al.   CLINICAL CANCER RESEARCH

Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis

(2019) Christopher W. Seymour et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

(2019) Philipp Kickingereder et al.   LANCET ONCOLOGY

Guidelines for the Early Management of Patients With Acute Ischemic Stroke: 2019 Update to the 2018 Guidelines for the Early Management of Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association

(2019) William J. Powers et al.   STROKE

The UK Biobank resource with deep phenotyping and genomic data

(2018) Clare Bycroft et al.   NATURE

Collaborative Modeling of the Benefits and Harms Associated With Different U.S. Breast Cancer Screening Strategies

(2016) Jeanne S. Mandelblatt et al.   ANNALS OF INTERNAL MEDICINE

Quantifying brain volumes for Multiple Sclerosis patients follow-up in clinical practice - comparison of 1.5 and 3 Tesla magnetic resonance imaging

(2016) Andreas P. Lysandropoulos et al.   Brain and Behavior

Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework

(2016) Saurabh Jain et al.   Frontiers in Neuroscience

Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction

(2015) Michael A. Bruno et al.   RADIOGRAPHICS

Guidelines for the Management of Spontaneous Intracerebral Hemorrhage

(2015) J. Claude Hemphill et al.   STROKE

Strategies for Avoiding Recommendations for Additional Imaging Through a Comprehensive Comparison With Prior Studies

(2015) Ankur M. Doshi et al.   Journal of the American College of Radiology

Fool Me Twice: Delayed Diagnoses in Radiology With Emphasis on Perpetuated Errors

(2014) Young W. Kim et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Volume and Mass Doubling Times of Persistent Pulmonary Subsolid Nodules Detected in Patients without Known Malignancy

(2014) Yong Sub Song et al.   RADIOLOGY

Effect of Observing Change from Comparison Mammograms on Performance of Screening Mammography in a Large Community-based Population

(2011) Bonnie C. Yankaskas et al.   RADIOLOGY

Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group

(2010) Patrick Y. Wen et al.   JOURNAL OF CLINICAL ONCOLOGY

Recommendations for Additional Imaging in Radiology Reports: Multifactorial Analysis of 5.9 Million Examinations

(2009) Christopher L. Sistrom et al.   RADIOLOGY

Incidence of early pseudo‐progression in a cohort of malignant glioma patients treated with chemoirradiation with temozolomide

(2008) Walter Taal et al.   CANCER

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

(2008) E.A. Eisenhauer et al.   EUROPEAN JOURNAL OF CANCER