| Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study COVIDSurg Collaborative Anaesthesia 76 (6), 748-758, 2021 | 564* | 2021 |
| SARS‐CoV‐2 infection and venous thromboembolism after surgery: an international prospective cohort study COVIDSurg Collaborative, GlobalSurg Collaborative, D Nepogodiev, ... Anaesthesia 77 (1), 28-39, 2022 | 58 | 2022 |
| Effects of pre‐operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study COVIDSurg Collaborative, GlobalSurg Collaborative, D Nepogodiev, ... Anaesthesia 76 (11), 1454-1464, 2021 | 43 | 2021 |
| Elective surgery system strengthening: development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries JC Glasbey, TEF Abbott, A Ademuyiwa, A Adisa, E Alameer, S Alshryda, ... The Lancet 400 (10363), 1607-1617, 2022 | 29 | 2022 |
| Clinical efficacy of Azithromycin for COVID-19 management: A systematic meta-analysis of meta-analyses ADK Yousafzai, AH Bangash, SY Asghar, SMM Abbas, HF Khawaja, ... Heart & Lung 60, 127-132, 2023 | 8 | 2023 |
| Algorithms to anonymize structured medical and healthcare data: a systematic review A Sepas, AH Bangash, O Alraoui, K El Emam, A El-Hussuna Frontiers in Bioinformatics 2, 984807, 2022 | 8 | 2022 |
| Global impact of COVID-19 pandemic on gastric cancer patients JH Herrera-Kok, C Parmar, AH Bangash, E Samadov, SD Atici, ... European Journal of Surgical Oncology 49 (4), 876, 2023 | 4 | 2023 |
| COVID-19 recommender system based on an annotated multilingual corpus M Barros, P Ruas, D Sousa, AH Bangash, FM Couto Genomics & Informatics 19 (3), 2021 | 4 | 2021 |
| Frailty indices in patients undergoing surgical resection of brain metastases: a systematic review JM Roy, AH Bangash, GP Skandalakis, CA Bowers Neurosurgical Review 46 (1), 267, 2023 | 3 | 2023 |
| Leveraging AutoML to provide NAFLD screening diagnosis: Proposed machine learning models AH Bangash medRxiv, 2020.10. 20.20216291, 2020 | 3 | 2020 |
| Community Research Amid COVID-19 Pandemic: Genomics Analysis of SARS-CoV-2 over Public GALAXY server A Kumar, AH Bangash, B Gruening Preprints, 2020 | 3 | 2020 |
| Risk of adjacent level fracture after percutaneous vertebroplasty and kyphoplasty vs natural history for the management of osteoporotic vertebral compression fractures: a … MA Essibayi, A Mortezaei, AY Azzam, AH Bangash, MM Eraghi, R Fluss, ... European Radiology, 1-12, 2024 | 2 | 2024 |
| Prediction of In-Hospital Mortality Among Heart Failure Patients: An Automated Machine Learning Analysis of Mimic-III Database A Ali, SY Asghar, ADK Yousafzai, AH Bangash, R Mohsin, A Fatima, ... American Heart Journal 254, 261, 2022 | 2 | 2022 |
| The global level of harm among surgical professionals during the COVID-19 pandemic: A multinational cross-sectional cohort study M Abouelazayem, YKS Viswanath, AH Bangash, JHH Kok, C Cheruvu, ... Surgery 171 (6), 1494-1499, 2022 | 2 | 2022 |
| Cerebellopontine angle meningioma originating from choroid plexus of the foramen of Luschka: An extremely rare entity and overlook of literature K Ebrahimzadeh, MM Eraghi, HH Tavassol, S Sabeti, M Hallajnejad, ... International Journal of Surgery Case Reports 111, 108800, 2023 | 1 | 2023 |
| Incorporating ensembled stacked approach into automated machine learning in an attempt to predict acute ischemic heart disease in patients with atypical chest pain: Secondary … HF Khawaja, A Ali, SY Asghar, R Mohsin, ADK Yousafzai, AH Bangash, ... American Heart Journal 254, 260-261, 2022 | 1 | 2022 |
| Leveraging Automated Machine Learning to provide NAFLD screening diagnosis: Proposed machine learning models AH Shah, AH Bangash, A Fatima, S Zehra, SMM Abbas, SMQ Shah, ... Metabolism-Clinical and Experimental 128, 2022 | 1 | 2022 |
| Amalgamation of Auto Machine Learning and Ensemble Approaches to Achieve State-of-the-Art Post-Heart Failure Survival Predictions AH Bangash, AH Shah, A Fatima, S Zehra, SMM Abbas, HF Khawaja, ... American Heart Journal 242, 153, 2021 | 1 | 2021 |
| Visualizing the phenotype diversity: a case study of Alexander disease E Dohi, AH Bangash Genomics & Informatics 19 (3), 2021 | 1 | 2021 |
| Joint CBC-ICT Interpretation for the pre-surgical screening of COVID 19 asymptomatic cases: a cross-sectional study T Imran, HA Naz, H Khan, AH Bangash, LB Khan, H Khan medRxiv, 2020.07. 16.20138354, 2020 | 1 | 2020 |
Wah YangThe University of Hong Kong在 connect.hku.hk 的电子邮件经过验证
