Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals

18 January 2022

Papers citing "Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals"

5 / 5 papers shown

Title
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods J. Benítez-Andrades C. Prada-García Nicolás Ordás-Reyes Marta Esteban Blanco Alicia Merayo Antonio Serrano-García 41 0 0 23 Mar 2025
PhilHumans: Benchmarking Machine Learning for Personal Health Vadim Liventsev Vivek Kumar Allmin Pradhap Singh Susaiyah Zixiu "Alex" Wu Ivan Rodin ... Milan Petkovic Diego Reforgiato Recupero Ehud Reiter Daniele Riboni Raymond Sterling AI4MH LM&MA 34 0 0 04 May 2024
The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs Michael Wornow Yizhe Xu Rahul Thapa Birju S. Patel E. Steinberg Scott L. Fleming M. Pfeffer Jason Alan Fries N. Shah LM&MA 21 32 0 22 Mar 2023
Mapping global dynamics of benchmark creation and saturation in artificial intelligence Simon Ott A. Barbosa-Silva Kathrin Blagec J. Brauner Matthias Samwald 24 36 0 09 Mar 2022
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,703 0 18 Mar 2020