| What do medical students actually need to know about artificial intelligence? LG McCoy, S Nagaraj, F Morgado, V Harish, S Das, LA Celi NPJ digital medicine 3 (1), 86, 2020 | 110 | 2020 |
| Early rheumatoid arthritis presentation, treatment, and outcomes in aboriginal patients in Canada: a Canadian early arthritis cohort study analysis S Nagaraj, C Barnabe, O Schieir, J Pope, SJ Bartlett, G Boire, E Keystone, ... Arthritis Care & Research 70 (8), 1245-1250, 2018 | 28 | 2018 |
| Evaluating and reducing cognitive load should be a priority for machine learning in healthcare DE Ehrmann, SN Gallant, S Nagaraj, SD Goodfellow, D Eytan, ... Nature Medicine 28 (7), 1331-1333, 2022 | 25 | 2022 |
| High-resolution peripheral quantitative computed tomography imaging in the assessment of periarticular bone of metacarpophalangeal and wrist joints S Nagaraj, S Finzel, KS Stok, C Barnabe, SPECTRA collaboration The Journal of rheumatology 43 (10), 1921-1934, 2016 | 19 | 2016 |
| Assessment of machine learning–based medical directives to expedite care in pediatric emergency medicine D Singh, S Nagaraj, P Mashouri, E Drysdale, J Fischer, A Goldenberg, ... JAMA Network Open 5 (3), e222599-e222599, 2022 | 12 | 2022 |
| Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables B Nestor, J Hunter, R Kainkaryam, E Drysdale, JB Inglis, A Shapiro, ... MedRXiv, 2021.05. 11.21257052, 2021 | 12 | 2021 |
| An alternative to the light touch digital health remote study: the stress and recovery in frontline COVID-19 Health Care Workers Study SM Goodday, E Karlin, A Alfarano, A Brooks, C Chapman, R Desille, ... JMIR Formative Research 5 (12), e32165, 2021 | 11 | 2021 |
| What do medical students actually need to know about artificial intelligence? NPJ Digit Med. 2020; 3: 86 LG McCoy, S Nagaraj, F Morgado, V Harish, S Das, LA Celi | 9 | |
| Effectiveness of an outreach model of care for rheumatology specialty clinics to an on-reserve First Nations community S Nagaraj, M Kargard, B Hemmelgarn, MJ Fritzler, T White, C Barnabe International Journal of Indigenous Health 13 (1), 157-167, 2018 | 8 | 2018 |
| Training for the future: preparing medical students for the impact of artificial intelligence K Bilimoria, V Harish, L McCoy, N Mehta, F Morgado, S Nagaraj, C Wang, ... Published online, 2019 | 6 | 2019 |
| Machine learning COVID-19 detection from wearables B Nestor, J Hunter, R Kainkaryam, E Drysdale, JB Inglis, A Shapiro, ... The Lancet Digital Health 5 (4), e182-e184, 2023 | 5 | 2023 |
| From clinic to computer and back again: practical considerations when designing and implementing machine learning solutions for pediatrics S Nagaraj, V Harish, LG McCoy, F Morgado, I Stedman, S Lu, E Drysdale, ... Current Treatment Options in Pediatrics 6, 336-349, 2020 | 5 | 2020 |
| Rhythm classification of 12-lead ECGs using deep neural networks and class-activation maps for improved explainability SD Goodfellow, D Shubin, RW Greer, S Nagaraj, C McLean, W Dixon, ... 2020 Computing in Cardiology, 1-4, 2020 | 5 | 2020 |
| The promises and challenges of clinical AI in community paediatric medicine D Singh, S Nagaraj, R Daniel, C Flood, D Kulik, R Flook, A Goldenberg, ... Paediatrics & Child Health 28 (4), 212-217, 2023 | 1 | 2023 |
| Machine learning for health (ml4h) 2022 A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ... Machine Learning for Health, 1-11, 2022 | 1 | 2022 |
| Dear Watch, Should I get a COVID Test? Designing deployable machine learning for wearables A Goldenberg, B Nestor, J Hunter, R Kainkaryam, E Drysdale, J Inglis, ... | 1 | 2021 |
| Achieving clinical automation in emergency medicine with machine learning medical directives D Singh, S Nagaraj, P Mashouri, E Drysdale, J Fischer, A Goldenberg, ... Available at SSRN 3857668, 2021 | 1 | 2021 |
| Workshop on Learning from Time Series for Health S Nagaraj, W Gerych, S Tonekaboni, T Hartvigsen, A Alaa, E Fox, ... ICLR 2024 Workshops, 2024 | | 2024 |
| Learning from Time Series under Temporal Label Noise S Nagaraj, W Gerych, S Tonekaboni, A Goldenberg, B Ustun, ... arXiv preprint arXiv:2402.04398, 2024 | | 2024 |
| Dissecting the heterogeneity of “in the wild” stress from multimodal sensor data S Nagaraj, S Goodday, T Hartvigsen, A Boch, K Garg, S Gowda, ... NPJ Digital Medicine 6 (1), 237, 2023 | | 2023 |
