MIT Lincoln Laboratory
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine
Kaan Sel, Andrea Hawkins‐Daarud, Anirban Chaudhuri et al.
2025 · 44 Zit.
Reports of the 2016 AAAI Workshop Program
Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein et al.
2016 · 10 Zit.
Commentary: Machine learning and cardiac surgery risk prediction
David M. Shahian, Richard P. Lippmann
2020 · 6 Zit.
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
Ashley Suh, Isabelle Hurley, Nora Smith et al.
2025 · 4 Zit.
RadTex: Learning Efficient Radiograph Representations from Text Reports
Keegan Quigley, Miriam Cha, Ruizhi Liao et al.
2022 · 3 Zit.
An efficient strategy for fine-tuning large language models
Benjamin M. Marsh, Adam Michaleas, Darrell Ricke et al.
2026 · 0 Zit.
Don't Just Translate, Agitate: Using Large Language Models as Devil's Advocates for AI Explanations
Ashley Suh, Kenneth Alperin, Harry Li et al.
2025 · 0 Zit.