Illusory generalizability of clinical prediction models AM Chekroud, M Hawrilenko, H Loho, J Bondar, R Gueorguieva, A Hasan, ... Science 383 (6679), 164-167, 2024 | 34 | 2024 |
Assessing the impact of a comprehensive mental health program on frontline health service workers EJ Ward, MS Fragala, CE Birse, M Hawrilenko, C Smolka, G Ambwani, ... Plos one 18 (11), e0294414, 2023 | | 2023 |
Broadening the Use of Machine Learning in Psychiatry BD Adkinson, AM Chekroud Biological Psychiatry 93 (1), 4-5, 2023 | | 2023 |
Personalized symptom clusters that predict depression treatment outcomes: A replication of machine learning methods Y Chen, JW Stewart, J Ge, B Cheng, A Chekroud, DJ Hellerstein Journal of Affective Disorders Reports 11, 100470, 2023 | 5 | 2023 |
Clinical and Financial Outcomes Associated With a Workplace Mental Health Program Before and During the COVID-19 Pandemic J Bondar, CB Morrow, R Gueorguieva, M Brown, M Hawrilenko, ... JAMA Network Open 5 (6), e2216349-e2216349, 2022 | 18 | 2022 |
Trends in inpatient care for psychiatric disorders in NHS hospitals across England, 1998/99–2019/20: an observational time series analysis M Degli Esposti, H Ziauddeen, L Bowes, A Reeves, AM Chekroud, ... Social psychiatry and psychiatric epidemiology 57 (5), 993-1006, 2022 | 11 | 2022 |
Evaluating medical providers A Chekroud, K Medeiros, K Quick US Patent App. 17/389,702, 2022 | | 2022 |
Parsing the antidepressant effects of non-invasive brain stimulation and pharmacotherapy: A symptom clustering approach on ELECT-TDCS SA Goerigk, F Padberg, A Chekroud, J Kambeitz, M Bühner, AR Brunoni Brain Stimulation 14 (4), 906-912, 2021 | 9 | 2021 |
The promise of machine learning in predicting treatment outcomes in psychiatry AM Chekroud, J Bondar, J Delgadillo, G Doherty, A Wasil, M Fokkema, ... World Psychiatry 20 (2), 154-170, 2021 | 270 | 2021 |
Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder KM Anderson, MA Collins, R Kong, K Fang, J Li, T He, AM Chekroud, ... Proceedings of the National Academy of Sciences 117 (40), 25138-25149, 2020 | 116 | 2020 |
Realizing the clinical potential of computational psychiatry: report from the Banbury Center Meeting, February 2019 M Browning, CS Carter, C Chatham, H Den Ouden, CM Gillan, JT Baker, ... Biological Psychiatry 88 (2), e5-e10, 2020 | 50 | 2020 |
Methods and apparatus for predicting depression treatment outcomes A Chekroud, JH Krystal, R Gueorguieva, A Chandra US Patent App. 16/305,468, 2020 | 70 | 2020 |
Symptom clusters in adolescent depression and differential response to treatment: a secondary analysis of the Treatment for Adolescents with Depression Study randomised trial J Bondar, A Caye, AM Chekroud, C Kieling The Lancet Psychiatry 7 (4), 337-343, 2020 | 47 | 2020 |
Precision non-implantable neuromodulation therapies: a perspective for the depressed brain L Borrione, H Bellini, LB Razza, AG Avila, C Baeken, AK Brem, G Busatto, ... Brazilian Journal of Psychiatry 42, 403-419, 2020 | 31 | 2020 |
Convergent molecular, cellular, and neural signatures of major depressive disorder KM Anderson, MA Collins, R Kong, K Fang, J Li, T He, AM Chekroud, ... bioRxiv, 2020.02. 10.942227, 2020 | 7 | 2020 |
How founding a company compares to graduate school A Chekroud Nature, 2020 | | 2020 |
The Opportunity for Exercise to Improve Population Mental Health AM Chekroud, A Trugerman JAMA psychiatry 76 (11), 1206-1207, 2019 | 15 | 2019 |
Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk Y Tang, Q Zhou, M Chang, A Chekroud, R Gueorguieva, X Jiang, Y Zhou, ... Schizophrenia research 210, 172-179, 2019 | 16 | 2019 |
Machine learning and big data in psychiatry: toward clinical applications RB Rutledge, AM Chekroud, QJM Huys Current opinion in neurobiology 55, 152-159, 2019 | 164 | 2019 |
A Mendelian Randomization Approach for Assessing the Relationship Between Physical Activity and Depression AM Chekroud JAMA psychiatry 76 (4), 361-362, 2019 | 7 | 2019 |