| Trends for opioid prescribing and the impact of the COVID-19 pandemic in patients with rheumatic and musculoskeletal diseases between 2006 and 2021 YT Huang, DA Jenkins, BB Yimer, J Benitez-Aurioles, N Peek, M Lunt, ... Rheumatology 63 (4), 1093-1103, 2024 | 8 | 2024 |
| OA09 Trends for opioid prescriptions and the impact of the COVID-19 pandemic among patients with rheumatic and musculoskeletal diseases between 2006 and 2021 YT Huang, DA Jenkins, BB Yimer, J Benitez-Aurioles, N Peek, M Lunt, ... Rheumatology 62 (Supplement_2), kead104. 009, 2023 | 1 | 2023 |
| A systematic review of machine learning applications in predicting opioid associated adverse events CR Ramírez Medina, J Benitez-Aurioles, DA Jenkins, M Jani npj Digital Medicine 8 (1), 30, 2025 | | 2025 |
| Understanding algorithmic fairness for clinical prediction in terms of subgroup net benefit and health equity J Benitez-Aurioles, A Joules, I Brusini, N Peek, M Sperrin arXiv preprint arXiv:2412.07879, 2024 | | 2024 |
| The continuous net benefit: Assessing the clinical utility of prediction models when informing a continuum of decisions J Benitez-Aurioles, L Wynants, N Peek, P Goodley, P Crosbie, M Sperrin arXiv preprint arXiv:2412.07882, 2024 | | 2024 |
| Multi‐organ kinetic modeling for Na[18F]F pre‐clinical total‐body PET studies J Benitez‐Aurioles, PS Clegg, CJ Alcaide‐Corral, C Wimberley, ... Medical physics, 2024 | | 2024 |
| Machine Learning Applications in Predicting Opioid-Associated Adverse Events: A Systematic Review CR Medina, J Benitez-Aurioles, D Jenkins, M Jani npj Digital Medicine, 2024 | | 2024 |
| A neural network to create super‐resolution MR from multiple 2D brain scans of pediatric patients J Benitez‐Aurioles, EMV Osorio, MC Aznar, M Van Herk, S Pan, P Sitch, ... Medical Physics, 2024 | | 2024 |
| Trends for opioid prescriptions and the impact of the COVID-19 pandemic among patients with rheumatic and musculoskeletal diseases between 2006 and 2021 DA Jenkins, BB Yimer, J Benitez-Aurioles, N Peek, M Lunt, W Dixon, ... Rheumatology, 2023 | | 2023 |
| AB1656 THE USE OF MACHINE LEARNING METHODS IN OPIOID-ASSOCIATED OUTCOMES RESEARCH: A SYSTEMATIC REVIEW CR Medina, J Benitez-Aurioles, D Jenkins, M Jani Annals of the Rheumatic Diseases 82, 2063-2064, 2023 | | 2023 |
| OP0269 DEVELOPMENT AND EVALUATION OF MACHINE LEARNING ALGORITHMS FOR THE PREDICTION OF OPIOID-RELATED DEATHS AMONG UK PATIENTS WITH NON-CANCER PAIN J Benitez-Aurioles, D Jenkins, CR Medina, N Peek, M Jani Annals of the Rheumatic Diseases 82 (Suppl 1), 177-178, 2023 | | 2023 |
| MO-0222 A neural network to create super-resolution MR from multiple 2D brain scans of paediatric patients J Benitez-Aurioles, A Davey, M Aznar, A Bryce-Atkinson, EMV Osorio, ... Radiotherapy and Oncology 182, S155-S157, 2023 | | 2023 |
| P045 Development and evaluation of machine learning algorithms for the prediction of opioid-related deaths among UK patients with non-cancer pain J Benitez-Aurioles, D Jenkins, YT Huang, CR Medina, N Peek, M Jani Rheumatology 62 (Supplement_2), kead104. 086, 2023 | | 2023 |
| Trends of Opioid Prescriptions and Impact of the COVID-19 Pandemic Among Patients with Musculoskeletal Diseases Between 2006-2021 J Huang, D Jenkins, BB Yimer, J Benitez-Aurioles, N Peek, M Lunt, ... ARTHRITIS & RHEUMATOLOGY 74, 2385-2386, 2022 | | 2022 |
| Trends in opioid new users and subsequent long-term use among patients with rheumatic and musculoskeletal diseases between 2006 and 2020 M Jani, JYT Huang, DA Jenkins, B Yimer, J Benitez-Aurioles, N Peek, ... PHARMACOEPIDEMIOLOGY AND DRUG SAFETY 31, 126-126, 2022 | | 2022 |
| OP0051 TRENDS FOR OPIOID PRESCRIPTIONS AMONG PATIENTS WITH RHEUMATIC AND MUSCULOSKELETAL DISEASES BETWEEN 2006-2020 JYT Huang, D Jenkins, BB Yimer, J Benitez-Aurioles, N Peek, M Lunt, ... Annals of the Rheumatic Diseases 81 (Suppl 1), 34-35, 2022 | | 2022 |
