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John Mongan, MD, PhD
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Publications
John Mongan, MD, PhD's Publications
The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.
Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans.
AI for Radiology: A Primer Part I. From Idea to Algorithm.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
Invited Commentary: Reflections on Prompt Engineering and Generative Artificial Intelligence in Radiology.
Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge.
RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes.
Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.
The Evolution of Radiology Image Annotation in the Era of Large Language Models.
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.
Abstract 4124675: Deep Learning Screening of Cardiac MRIs Uncovers Undiagnosed Hypertrophic Cardiomyopathy in the UK BioBank.
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update.
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts.
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.
Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA.
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA.
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.
Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI.
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
The Global Reading Room: Purchasing a Radiology Artificial Intelligence System.
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset.
The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.
Abstract 13588: A Generalizable Deep Learning System for Cardiac MRI.
Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions.
Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.
On the Centrality of Data: Data Resources in Radiologic Artificial Intelligence.
PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare.
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
TotalSegmentator: A Gift to the Biomedical Imaging Community.
Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research.
Automated detection of IVC filters on radiographs with deep convolutional neural networks.
Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.
Effect of an ultrasound-first clinical decision tool in emergency department patients with suspected nephrolithiasis: A randomized trial.
Gastrointestinal Stromal Tumors: Radiomics may Increase the Role of Imaging in Malignant Risk Assessment.
Imaging AI in Practice: Introducing the Special Issue.
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities.
Radiologists staunchly support patient safety and autonomy, in opposition to the SCOTUS decision to overturn Roe v Wade.
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs.
The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.
Automated coronary calcium scoring using deep learning with multicenter external validation.
RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications.
The RSNA International COVID-19 Open Radiology Database (RICORD).
The RSNA Pulmonary Embolism CT Dataset.
Artificial Intelligence and Human Life: Five Lessons for Radiology from the 737 MAX Disasters.
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
Effect of shelter-in-place on emergency department radiology volumes during the COVID-19 pandemic.
Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions.
How far have we come? Artificial intelligence for chest radiograph interpretation.
Mandated Imaging Appropriate Use Criteria.
Potential Effect of the Protecting Access to Medicare Act on Use of Advanced Diagnostic Imaging in the Emergency Department: An Analysis of the National Hospital Ambulatory Care Survey.
What Physicians and Health Organizations Should Know About Mandated Imaging Appropriate Use Criteria.
Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.
Impact of PACS-EMR Integration on Radiologist Usage of the EMR.
Association between misty mesentery with baseline or new diagnosis of cancer: a matched cohort study.
Can Radiologists Learn From Airport Baggage Screening?: A Survey About Using Fictional Patients for Quality Assurance.
Contrast Enhanced Ultrasound as a Radiation-Free Alternative to Fluoroscopic Nephrostogram for Evaluating Ureteral Patency.
Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up.
High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks.
PD11-05 CONTRAST-ENHANCED ULTRASOUND AS A REPLACEMENT FOR FLUOROSCOPIC NEPHROSTOGRAM FOLLOWING PERCUTANEOUS NEPHROLITHOTOMY.
Antegrade ultrasound contrast injection facilitates accurate nephrostomy tube positioning during percutaneous nephrolithotomy.
Beyond Prostate Adenocarcinoma: Expanding the Differential Diagnosis in Prostate Pathologic Conditions.
Contrast Enhanced Ultrasound Detects Recurrent Renal Cell Carcinoma in the Setting of Chronic Renal Insufficiency.
Definition of Confidence Interval.
Feasibility of Antegrade Contrast-enhanced US Nephrostograms to Evaluate Ureteral Patency.
Feasibility of Retrograde Ureteral Contrast Injection to Guide Ultrasonographic Percutaneous Renal Access in the Nondilated Collecting System.
In vivo comparison of tantalum, tungsten, and bismuth enteric contrast agents to complement intravenous iodine for double-contrast dual-energy CT of the bowel.
PD14-01 CAN CONTRAST-ENHANCED ULTRASOUND REPLACE FLUOROSCOPIC NEPHROSTOGRAM?.
Age and sex-dependent trends in pulmonary embolism testing and derivation of a clinical decision rule for young patients.
The radiologist's workflow environment: evaluation of disruptors and potential implications.
Extravasated contrast material in penetrating abdominopelvic trauma: dual-contrast dual-energy CT for improved diagnosis--preliminary results in an animal model.
In vivo differentiation of complementary contrast media at dual-energy CT.
Pancreatic imaging mimics: part 1, imaging mimics of pancreatic adenocarcinoma.
Analysis of integral expressions for effective Born radii.
Generalized Born model with a simple, robust molecular volume correction.
Evaluation and binding-mode prediction of thiopyrone-based inhibitors of anthrax lethal factor.
Biomolecular simulations at constant pH.
Limitations of atom-centered dielectric functions in implicit solvent models.
Potent, selective pyrone-based inhibitors of stromelysin-1.
Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules.
Constant pH molecular dynamics in generalized Born implicit solvent.
Interactive essential dynamics.
