Scott Mayer McKinney
Google (United States)(US)
Publications by Year
Research Areas
Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Sleep and Wakefulness Research, AI in cancer detection
Most-Cited Works
- → International evaluation of an AI system for breast cancer screening(2020)2,977 cited
- → Capabilities of GPT-4 on Medical Challenge Problems(2023)497 cited
- → Spontaneous brain rhythms predict sleep stability in the face of noise(2010)284 cited
- → Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation(2019)280 cited
- → Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging(2023)215 cited
- → The subjective–objective mismatch in sleep perception among those with insomnia and sleep apnea(2013)174 cited
- → Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine(2023)163 cited
- → Sleep Disruption due to Hospital Noises(2012)159 cited
- → Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists(2022)68 cited
- → Covert Waking Brain Activity Reveals Instantaneous Sleep Depth(2011)59 cited