Tessa S. Cook MD PhD FSIIM FCPP
University of Pennsylvania
H-index: 26
North America-United States
Top articles of Tessa S. Cook MD PhD FSIIM FCPP
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Spontaneous Coronary Artery Dissection-Correlation with CT and MR | Journal of Cardiovascular Magnetic Resonance | Jonathan Avallone Jennifer Lewey Tessa Cook | 2024/3/1 |
Patient-and Family-Centered Care in Radiology: Lessons Learned and Next Steps | Tessa S Cook Meg Samples Arun Krishnaraj | 2024/1/1 | |
Environmental Sustainability and AI in Radiology: A Double-Edged Sword | Florence X Doo Jan Vosshenrich Tessa S Cook Linda Moy Eduardo PRP Almeida | 2024/2/27 | |
Value creation through artificial intelligence and cardiovascular imaging: a scientific statement from the American Heart Association | Kate Hanneman David Playford Damini Dey Marly van Assen Domenico Mastrodicasa | 2024/2/6 | |
From Bench to Bedside With Large Language Models: AJR Expert Panel Narrative Review | Rajesh Bhayana Som Biswas Tessa S Cook Woojin Kim Felipe C Kitamura | 2024/4/10 | |
Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care | Journal of the American Medical Informatics Association | Satvik Tripathi Rithvik Sukumaran Tessa S Cook | 2024/1/25 |
Promptwise: Prompt Engineering Paradigm for Enhanced Patient-Large Language Model Interactions Towards Medical Education | Available at SSRN 4785683 | Satvik Tripathi Rithvik Sukumaran Suhani Dheer Tessa Cook | 2024/4/5 |
A randomized trial of mailed outreach with behavioral economic interventions to improve liver cancer surveillance | Hepatology communications | Shivan J Mehta Caitlin McDonald Catherine Reitz Shivani Kastuar Christopher K Snider | 2024/1/1 |
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare | arXiv preprint arXiv:2309.12325 | Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F Frangi Alena Buyx | 2023/8/11 |
Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship | Journal of Digital Imaging | Roger Gerard Valeria Makeeva Brianna Vey Tessa S Cook Paul Nagy | 2023/2 |
Detecting Common Sources of AI Bias: Questions to Ask When Procuring an AI Solution | Ali S Tejani Tara A Retson Linda Moy Tessa S Cook | 2023/3/21 | |
Artificial intelligence governance and strategic planning: how we do it | Journal of the American College of Radiology | Ameena Elahi Tessa S Cook | 2023/9/1 |
Quality Improvement Report: Design and Implementation of a Radiology E-Consult Service | RadioGraphics | Kalpana Suresh Paul A Hill Charles E Kahn Jr Mitchell D Schnall Mark A Rosen | 2023/11/30 |
The 2021 SIIM-FISABIO-RSNA machine learning COVID-19 challenge: Annotation and standard exam classification of COVID-19 chest radiographs | Journal of Digital Imaging | Paras Lakhani John Mongan Chinmay Singhal Quan Zhou Katherine P Andriole | 2023/2 |
A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images | Chunrui Zou Walter Mankowski Lauren Pantalone Shefali Setia Verma Eduardo J Mortani Barbosa Jr | 2023/4/7 | |
Striving to be of value: building a virtual radiology consult service for patients | Colbey W Freeman Sophia O'Brien Dayna Levin Tessa Cook | 2023/8/25 | |
RAISE--Radiology AI Safety, an End-to-end lifecycle approach | arXiv preprint arXiv:2311.14570 | M Jorge Cardoso Julia Moosbauer Tessa S Cook B Selnur Erdal Brad Genereaux | 2023/11/24 |
Changes in radiology due to artificial intelligence that can attract medical students to the specialty | JMIR Medical Education | David Shalom Liu Kamil Abu-Shaban Safwan S Halabi Tessa Sundaram Cook | 2023/3/20 |
Artificial Intelligence Has Its Foot on the Gas Pedal–What It Means for Imaging | Journal of the American College of Radiology | Tessa S Cook Ameena Elahi | 2023/9/1 |
Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods | Journal of the American Medical Informatics Association | Pierre J Chambon Christopher Wu Jackson M Steinkamp Jason Adleberg Tessa S Cook | 2023/2/1 |
Co-Authors
