| Resilience and psychological distress in psychology and medical students S Bacchi, J Licinio Academic psychiatry 41, 185-188, 2017 | 233 | 2017 |
| Effect of medical student debt on mental health, academic performance and specialty choice: a systematic review MS Pisaniello, AT Asahina, S Bacchi, M Wagner, SW Perry, ML Wong, ... BMJ open 9 (7), e029980, 2019 | 208 | 2019 |
| Magnetic resonance imaging and positron emission tomography in anti-NMDA receptor encephalitis: a systematic review S Bacchi, K Franke, D Wewegama, E Needham, S Patel, D Menon Journal of Clinical Neuroscience 52, 54-59, 2018 | 130 | 2018 |
| Deep learning in the prediction of ischaemic stroke thrombolysis functional outcomes: a pilot study S Bacchi, T Zerner, L Oakden-Rayner, T Kleinig, S Patel, J Jannes Academic radiology 27 (2), e19-e23, 2020 | 116 | 2020 |
| Machine learning in the prediction of medical inpatient length of stay S Bacchi, Y Tan, L Oakden‐Rayner, J Jannes, T Kleinig, S Koblar Internal medicine journal 52 (2), 176-185, 2022 | 87 | 2022 |
| Qualitative literature review of the prevalence of depression in medical students compared to students in non-medical degrees S Bacchi, J Licinio Academic Psychiatry 39, 293-299, 2015 | 81 | 2015 |
| Deep learning natural language processing successfully predicts the cerebrovascular cause of transient ischemic attack-like presentations S Bacchi, L Oakden-Rayner, T Zerner, T Kleinig, S Patel, J Jannes Stroke 50 (3), 758-760, 2019 | 66 | 2019 |
| Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study S Bacchi, S Gluck, Y Tan, I Chim, J Cheng, T Gilbert, DK Menon, J Jannes, ... Internal and emergency medicine 15, 989-995, 2020 | 55 | 2020 |
| Deep learning in the detection of high-grade glioma recurrence using multiple MRI sequences: a pilot study S Bacchi, T Zerner, J Dongas, AT Asahina, A Abou-Hamden, S Otto, ... Journal of Clinical Neuroscience 70, 11-13, 2019 | 35 | 2019 |
| Defining progression independent of relapse activity (PIRA) in adult patients with relapsing multiple sclerosis: A systematic review✰ D Sharrad, P Chugh, M Slee, S Bacchi Multiple Sclerosis and Related Disorders 78, 104899, 2023 | 29 | 2023 |
| Postoperative headache following treatment of vestibular schwannoma: a literature review A Sabab, J Sandhu, S Bacchi, A Jukes, A Zacest Journal of Clinical Neuroscience 52, 26-31, 2018 | 29 | 2018 |
| Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis BD Menz, NM Kuderer, S Bacchi, ND Modi, B Chin-Yee, T Hu, C Rickard, ... bmj 384, 2024 | 28 | 2024 |
| Stroke prognostication for discharge planning with machine learning: A derivation study S Bacchi, L Oakden-Rayner, DK Menon, J Jannes, T Kleinig, S Koblar Journal of Clinical Neuroscience 79, 100-103, 2020 | 26 | 2020 |
| Autoantibodies to low-density lipoprotein receptor-related protein 4 in double seronegative myasthenia gravis: a systematic review S Bacchi, P Kramer, C Chalk Canadian Journal of Neurological Sciences 45 (1), 62-67, 2018 | 25 | 2018 |
| Triaging ophthalmology outpatient referrals with machine learning: a pilot study Y Tan, S Bacchi, RJ Casson, D Selva, WO Chan Clinical & experimental ophthalmology 48 (2), 169-173, 2020 | 24 | 2020 |
| Depression after stoma surgery: a systematic review and meta-analysis JG Kovoor, JHW Jacobsen, B Stretton, S Bacchi, AK Gupta, B Claridge, ... BMC psychiatry 23 (1), 352, 2023 | 23 | 2023 |
| How to use large language models in ophthalmology: from prompt engineering to protecting confidentiality O Kleinig, C Gao, JG Kovoor, AK Gupta, S Bacchi, WO Chan Eye 38 (4), 649-653, 2024 | 22 | 2024 |
| Weight loss with subcutaneous semaglutide versus other glucagon‐like peptide 1 receptor agonists in type 2 diabetes: a systematic review B Stretton, J Kovoor, S Bacchi, S Chang, B Ngoi, T Murray, TC Bristow, ... Internal medicine journal 53 (8), 1311-1320, 2023 | 22 | 2023 |
| Automation of penicillin adverse drug reaction categorisation and risk stratification with machine learning natural language processing JM Inglis, S Bacchi, A Troelnikov, W Smith, S Shakib International Journal of Medical Informatics 156, 104611, 2021 | 21 | 2021 |
| Glucocorticoid‐induced adrenal suppression: physiological basis and strategies for glucocorticoid weaning DJ Torpy, WT Lim Medical Journal of Australia 219 (10), 444-447, 2023 | 20 | 2023 |