M. Succi

发表

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19

Jayashree Kalpathy-Cramer, F. Kitamura, G. Corradi, 2020, medRxiv.

Operational Challenges of a Low-Dose CT Lung Cancer Screening Program During the Coronavirus Disease 2019 Pandemic

T. McLoud, Amita Sharma, J. Shepard, 2020, Chest.

Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs

Matthew D. Li, Tarik K. Alkasab, Jayashree Kalpathy-Cramer, 2021, Academic Radiology.

Imaging Volume Trends and Recovery During the COVID-19 Pandemic: A Comparative Analysis Between a Large Urban Academic Hospital and Its Affiliated Imaging Centers

O. Pianykh, B. Little, D. Mendoza, 2020, Academic Radiology.

An inflammation-targeting hydrogel for local drug delivery in inflammatory bowel disease

Robert Langer, Giovanni Traverso, Matthew J. Hamilton, 2015, Science Translational Medicine.

Increased per-patient imaging utilization in an emergency department setting during COVID-19

M. Gee, M. Lev, J. Brink, 2021, Clinical Imaging.

COVID-19: Recovery Models for Radiology Departments

O. Pianykh, J. Brink, M. Lang, 2020, Journal of the American College of Radiology.

Intubation and mortality prediction in hospitalized COVID-19 patients using a combination of convolutional neural network-based scoring of chest radiographs and clinical data

Matthew D. Li, Jayashree Kalpathy-Cramer, P. Balthazar, 2022, BJR open.

Trends in cancer imaging by indication, care setting, and hospital type during the COVID‐19 pandemic and recovery at four hospitals in Massachusetts

M. Gee, M. Lev, J. Brink, 2021, Cancer medicine.

Institutional Surgical Response and Associated Volume Trends Throughout the COVID-19 Pandemic and Postvaccination Recovery Period

K. Lillemoe, M. Gee, M. Succi, 2022, JAMA network open.

Impact of iodinated contrast allergies on emergency department operations.

M. Succi, Anand M. Prabhakar, Brian J. Yun, 2022, The American journal of emergency medicine.

Trends in coronary calcium score and coronary CT angiography imaging volume during the COVID-19 pandemic

B. Little, M. Succi, Alexander H. King, 2022, Current Problems in Diagnostic Radiology.

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

Matthew D. Li, Praveer Singh, Jayashree Kalpathy-Cramer, 2022, Medicine.

Drug delivery interfaces in the 21st century: from science fiction ideas to viable technologies.

Robert Langer, Marc D Succi, R. Langer, 2013, Molecular pharmaceutics.

Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach

Synho Do, J. Conklin, M. Lev, 2022, Scientific Reports.

Integrating innovation as a core objective in medical training

M. Succi, Nathan V. Mallipeddi, David C Whitehead, 2022, Nature biotechnology.

Nonaccidental Injury in the Elderly: What Radiologists Need to Know.

M. Lev, A. Pourvaziri, M. Succi, 2022, Radiographics : a review publication of the Radiological Society of North America, Inc.

Trends in Academic Productivity Among Radiologists During the COVID-19 Pandemic

J. Hirsch, M. Succi, Moses J. E. Flash, 2022, Journal of the American College of Radiology.

CT utilization in evaluation of skin and soft tissue extremity infections in the ED: Retrospective cohort study.

M. Succi, Anand M. Prabhakar, A. Raja, 2022, The American journal of emergency medicine.

Unilateral Lymphadenopathy After COVID-19 Vaccination: A Practical Management Plan for Radiologists Across Specialties

C. Lehman, A. Kambadakone, D. Mendoza, 2021, Journal of the American College of Radiology.

Trends in oncological imaging during the COVID-19 pandemic through the vaccination era.

M. Gee, J. Hirsch, M. Lev, 2023, Cancer medicine.

Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing

Matthew D. Li, Tarik K. Alkasab, Jayashree Kalpathy-Cramer, 2021, The American Journal of Emergency Medicine.

Google search volume trends for cancer screening terms during the COVID-19 pandemic

B. Little, A. Som, M. Succi, 2021, Journal of medical screening.

Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow

A. Landman, K. Dreyer, M. Succi, 2023, medRxiv.

RadTranslate: An Artificial Intelligence–Powered Intervention for Urgent Imaging to Enhance Care Equity for Patients With Limited English Proficiency During the COVID-19 Pandemic

D. Daye, A. Pourvaziri, M. Succi, 2021, Journal of the American College of Radiology.

Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model

M. Kalra, Synho Do, J. Conklin, 2022, Nature Communications.

Automated Labeling of Chest X-ray Images using a Quantitative Explainable Atlas-Based AI Model

Doyun Kim, Brent Little, Synho Do, 2021 .

Evaluating ChatGPT as an Adjunct for Radiologic Decision-Making

M. Succi, J. Kim, M. Kamineni, 2023, medRxiv.

Analysis of self-initiated visits for cervical trauma at urgent care centers and subsequent emergency department referral.

M. Gee, M. Lev, M. Succi, 2022, Clinical imaging.

Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model

M. Kalra, Synho Do, J. Conklin, 2022, Nature Communications.

Integrating a healthcare innovation bootcamp into an international medical conference to democratize innovation learning

Katherine P. Andriole, M. Succi, F. Fintelmann, 2023, Nature Biotechnology.

Turning around cancer: Oncology imaging and implications for emergency department radiology workflow.

M. Lev, B. White, M. Succi, 2019, The American journal of emergency medicine.

Medically Engineered Solutions in Health Care: A Technology Incubator and Design-Thinking Curriculum for Radiology Trainees.

Marc D Succi, Raul N Uppot, Michael S Gee, 2018, Journal of the American College of Radiology : JACR.

Initial Experience Integrating a Hands-On Innovation Curriculum Into a Radiology Residency Program and Department.

T. McLoud, M. Gee, M. Ottensmeyer, 2020, Journal of the American College of Radiology : JACR.

Multiple primary malignancies involving lung cancer: a single-center experience

Mario Silva, N. Sverzellati, M. Tiseo, 2020, Tumori.

MarkIt: A Collaborative Artificial Intelligence Annotation Platform Leveraging Blockchain For Medical Imaging Research

Doyun Kim, Synho Do, Soomin Jeon, 2021, Blockchain in healthcare today.

How artificial intelligence could transform emergency department operations.

Anand M Prabhakar, Yosef Berlyand, Ali S Raja, 2018, The American journal of emergency medicine.

Imaging Information Overload: Quantifying the Burden of Interpretive and Non-Interpretive Tasks for Computed Tomography Angiography for Aortic Pathologies in Emergency Radiology.

M. Lev, A. Pourvaziri, B. Bizzo, 2022, Current problems in diagnostic radiology.

Assessing the Relationship Between Race, Language, and Surgical Admissions in the Emergency Department

M. Succi, E. Flores, Ali Raja, 2023, The western journal of emergency medicine.

"All-in-one" window/level whole-body computed tomography scan - A faster way to evaluate trauma cases.

Rajiv Gupta, J. Soons, A. Pourvaziri, 2022, The American journal of emergency medicine.

An inflammation-targeting hydrogel for local drug delivery in inflammatory bowel disease

J. Karp, R. Langer, J. Korzenik, 2015, Science Translational Medicine.

Justice and Innovation in Radiology.

M. Succi, E. Flores, Jacob A. Blythe, 2023, Journal of the American College of Radiology : JACR.