Melissa D. McCradden

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Video Endoscopy

Machine Learning

Computational Challenges

Clinical Practice

Top Venues

Frontiers Digit. Health

Publications

Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro, Ozan Oktay, Melissa D. McCradden, Ben Glocker
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging. CoRR (2023)
Melissa D. McCradden, Shalmali Joshi, James A. Anderson, Alex John London
A normative framework for artificial intelligence as a sociotechnical system in healthcare. Patterns 4 (11) (2023)
Paula Dhiman, Rebecca Whittle, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Melissa D. McCradden, Karel G. M. Moons, Richard D. Riley, Gary S. Collins
The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols. Nat. Mac. Intell. 5 (8) (2023)
Melissa D. McCradden, Oluwadara Odusi, Shalmali Joshi, Ismail Akrout, Kagiso Ndlovu, Ben Glocker, Gabriel Maicas, Xiaoxuan Liu, Mjaye Mazwi, Tee Garnett, Lauren Oakden-Rayner, Myrtede Alfred, Irvine Sihlahla, Oswa Shafei, Anna Goldenberg
What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB. FAccT (2023)
Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot L. Siegel, John J. Sunderland, Richard L. Wahl
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). CoRR (2022)
Azadeh Assadi, Peter C. Laussen, Andrew J. Goodwin, Sebastian Goodfellow, Will Dixon, Robert W. Greer, Anusha Jegatheeswaran, Devin Singh, Melissa D. McCradden, Sara N. Gallant, Anna Goldenberg, Danny Eytan, Mjaye L. Mazwi
An integration engineering framework for machine learning in healthcare. Frontiers Digit. Health 4 (2022)
Viknesh Sounderajah, Melissa D. McCradden, Xiaoxuan Liu, Sherri Rose, Hutan Ashrafian, Gary S. Collins, James A. Anderson, Patrick M. Bossuyt, David Moher, Ara Darzi
Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare. Nat. Mach. Intell. 4 (4) (2022)
Jethro C. C. Kwong, Lauren Erdman, Adree Khondker, Marta Skreta, Anna Goldenberg, Melissa D. McCradden, Armando J. Lorenzo, Mandy Rickard
The silent trial - the bridge between bench-to-bedside clinical AI applications. Frontiers Digit. Health 4 (2022)
Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa D. McCradden, Mjaye Mazwi, Anna Goldenberg
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. CHIL (2022)
Melissa D. McCradden, Shalmali Joshi, James A. Anderson, Mjaye Mazwi, Anna Goldenberg, Randi Zlotnik Shaul
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Melissa D. McCradden, Mjaye Mazwi, Shalmali Joshi, James A. Anderson
When Your Only Tool Is A Hammer: Ethical Limitations of Algorithmic Fairness Solutions in Healthcare Machine Learning. AIES (2020)
Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. CoRR (2019)
Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. MLHC (2019)