Scott Mayer McKinney
Scott Mayer McKinney
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Cited by
International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 577 (7788), 89-94, 2020
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
Capabilities of gpt-4 on medical challenge problems
H Nori, N King, SM McKinney, D Carignan, E Horvitz
arXiv preprint arXiv:2303.13375, 2023
Spontaneous brain rhythms predict sleep stability in the face of noise
TT Dang-Vu, SM McKinney, OM Buxton, JM Solet, JM Ellenbogen
Current biology 20 (15), R626-R627, 2010
Chest radiograph interpretation with deep learning models: assessment with radiologist-adjudicated reference standards and population-adjusted evaluation
A Majkowska, S Mittal, DF Steiner, JJ Reicher, SM McKinney, GE Duggan, ...
Radiology 294 (2), 421-431, 2020
Sleep disruption due to hospital noises: a prospective evaluation
OM Buxton, JM Ellenbogen, W Wang, A Carballeira, S O'Connor, ...
Annals of internal medicine 157 (3), 170-179, 2012
The subjective–objective mismatch in sleep perception among those with insomnia and sleep apnea
MT Bianchi, KL Williams, S Mckinney, JM Ellenbogen
Journal of sleep research 22 (5), 557-568, 2013
Covert waking brain activity reveals instantaneous sleep depth
SM McKinney, TT Dang-Vu, OM Buxton, JM Solet, JM Ellenbogen
PloS one 6 (3), e17351, 2011
Can generalist foundation models outcompete special-purpose tuning? case study in medicine
H Nori, YT Lee, S Zhang, D Carignan, R Edgar, N Fusi, N King, J Larson, ...
arXiv preprint arXiv:2311.16452, 2023
Supervised transfer learning at scale for medical imaging
B Mustafa, A Loh, J Freyberg, P MacWilliams, M Wilson, SM McKinney, ...
arXiv preprint arXiv:2101.05913, 2021
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ...
Nature Biomedical Engineering 7 (6), 756-779, 2023
Robust and efficient medical imaging with self-supervision
S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ...
arXiv preprint arXiv:2205.09723, 2022
DiBa: a data-driven Bayesian algorithm for sleep spindle detection
B Babadi, SM McKinney, V Tarokh, JM Ellenbogen
IEEE Transactions on Biomedical Engineering 59 (2), 483-493, 2011
Insights into puberty: the relationship between sleep stages and pulsatile LH secretion
ND Shaw, JP Butler, SM McKinney, SA Nelson, JM Ellenbogen, JE Hall
The Journal of Clinical Endocrinology & Metabolism 97 (11), E2055-E2062, 2012
Deep learning detection of active pulmonary tuberculosis at chest radiography matched the clinical performance of radiologists
S Kazemzadeh, J Yu, S Jamshy, R Pilgrim, Z Nabulsi, C Chen, N Beladia, ...
Radiology 306 (1), 124-137, 2023
Deep learning to detect OCT-derived diabetic macular edema from color retinal photographs: a multicenter validation study
X Liu, TK Ali, P Singh, A Shah, SM McKinney, P Ruamviboonsuk, ...
Ophthalmology Retina 6 (5), 398-410, 2022
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ...
Nature Medicine 29 (7), 1814-1820, 2023
Reply to: Transparency and reproducibility in artificial intelligence
SM McKinney, A Karthikesalingam, D Tse, CJ Kelly, Y Liu, GS Corrado, ...
Nature 586 (7829), E17-E18, 2020
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
RG Gomes, B Vwalika, C Lee, A Willis, M Sieniek, JT Price, C Chen, ...
Communications Medicine 2 (1), 128, 2022
Automated extraction of structured labels from medical text using deep convolutional networks and use thereof to train a computer vision model
S McKinney, S Shetty, H Mostofi
US Patent App. 16/958,544, 2021
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