Researcher

Email: aa957@cam.ac.uk

 

Anmol Arora is an Academic Foundation Doctor at Cambridge University with an intercalated degree in Management Studies from the Cambridge Judge Business School. His research focuses on the use of artificial intelligence and machine learning in healthcare. He holds honorary research affiliations with NHS England and Improvement and Moorfields Eye Hospital, London. His previous research experience includes work with Yale University School of Medicine, Yale University School of Public Health, University College London, Cambridge University Institute of Public Health as well as leading roles in national research collaboratives.

Anmol sits on the HDR UK Impact Committee and is also a public member of several NIHR panels, including the Artificial Intelligence in Health and Care Award Panel as well as being a member of the Information Commissioner’s Office Technology Advisory Pool. He has presented his research at international conferences, universities and to industry.

Research Interests

Artificial intelligence; machine learning; generative adversarial networks; synthetic patient data; public health; systems design; healthcare innovation

Selected Publications

1. A Arora, A Wright, M Cheng, Z Khwaja, M Seah (2021). Innovation Pathways in the NHS: An Introductory Review. Therapeutic Innovation and Regulatory Science. doi.org/10.1007/s43441-021-00304-w
2. A Arora, A Arora (2022). Synthetic patient data in healthcare: A widening legal loophole. The Lancet. doi.org/10.1016/S0140-6736(22)00232-X
3. A Arora, D Pell, E van Slujis, E Winpenny (2020). How do associations between sleep duration and metabolic health differ with age in the UK general population? Plos One. doi.org/10.1371/journal.pone.0242852
4. E O’Kelly, A Arora, S Pirog, J Ward, J Clarkson (2020). Comparing the Fit of N95, KN95, Surgical, and Cloth Face Masks and Assessing the Accuracy of Fit Checking. Plos One. doi.org/10.1371/journal.pone.0245688
5. A Arora. Synthetic data: The future of open-access healthcare datasets? The Lancet. [In Press]
6. A Arora et al (2022). Assessment of machine learning algorithms in national data to classify the risk of self-harm among young adults in hospital: a retrospective study. medRxiv [Preprint]. doi.org/10.1101/2022.08.08.22278554
7. M Hedman, A Rojas, A Arora, D Ola (2021). Developing and comparing machine learning models to detect sleep apnoea using single-lead electrocardiogram (ECG) monitoring. medRxiv [Preprint]. doi.org/10.1101/2021.04.19.21255733
8. E O’Kelly, A Arora, S Pirog, J Ward, PJ Clarkson (2022). Face Mask Fit Hacks: Improving the Fit of KN95 Masks and Surgical Masks with Fit Alteration Techniques. Plos One. doi.org/10.1371/journal.pone.0262830
9. P Crome, A Arora, A Arora (2021). Chapter 139: Elder Abuse. In J Michel et al. (Eds.), Oxford Textbook of Geriatric Medicine. Oxford, UK: Oxford University Press. doi.org/10.1093/med/9780198701590.003.0139
10. M Byrne, J Ashcroft, JCM Wan, A Arora et al (2021). COVIDReady2 Study Protocol: Cross-sectional Survey of Medical Student Volunteering and Education During the COVID-19 Pandemic in the United Kingdom. BMC Medical Education. doi.org/10.1186/s12909-021-02629-4
11. J Koelmel, WY Tan, Y Li et al (2021). Lipidomics and redox lipidomics indicate early-stage alcohol-induced liver damage. Hepatology Communications. doi.org/10.1002/hep4.1825
12. C Lovejoy, A Arora et al (2021). Key considerations for the use of artificial intelligence (AI) in healthcare and clinical research. Future Healthcare Journal. doi.org/10.7861/fhj.2021-0128
13. A Arora, A Arora (2022). Generative adversarial networks and synthetic patient data: current challenges and future perspectives. Future Healthcare Journal. doi.org/10.7861/fhj.2022-0013
14. E O’Kelly, A Arora, J Ward, PJ Clarkson (2020). How well do face masks protect the wearer compared to public perceptions? medRxiv [Preprint]. doi.org/10.1101/2021.01.27.21250645
15. E O’Kelly, A Arora, C Pearson, J Ward, J Clarkson. (2020). Performing Qualitative Mask Fit Testing without a Commercial Kit: Fit Testing Which can be Performed at Home and at Work. Disaster Medicine and Public Health Preparedness. doi.org/10.1017/dmp.2020.352
16. E O’Kelly, A Arora, S Pirog, J Ward, J Clarkson. (2022). Experimental Measurement of the Size of Gaps Required to Compromise Fit of an N95 Respirator. Disaster Medicine and Public Health Preparedness. https://doi.org/10.1017/dmp.2022.23
17. E O’Kelly, A Arora, C O’Kelly, C Pearson, J Ward, J Clarkson (2020). QFEA -A Method for Assessing the Filtration Efficiency of Face Mask Materials for Early Design Prototypes and Home Mask Makers. medRxiv [Preprint]. doi.org/10.1101/2020.12.14.20221937
18. A Arora (2020). Conceptualising artificial intelligence as a digital healthcare innovation: an introductory review. Medical Devices Evidence and Research. 13:223-230. doi.org/10.2147/MDER.S262590
19. A Arora (2020). Shooting from the hip into our own foot? A perspective on how artificial intelligence may disrupt medical training. Future Healthcare Journal. 7(2):e7-e8. doi.org/10.7861/fhj.Let-7-2-4
20. E O’Kelly, A Arora, S Pirog, J Ward, J Clarkson (2020). Improving Fabric Face Masks: Impact of Design Features on the Protection Offered by Fabric Face Masks. medRxiv [Preprint]. doi.org/10.1101/2021.01.21.20228569
21. A Arora (2020). Artificial intelligence: A new frontier for anaesthesiology training. British Journal of Anaesthesia. doi.org/10.1016/j.bja.2020.06.049
22. A Arora, G Solomou, S. Bandyopadhyay et al. (2020). Adapting to disrupted assessments placements and teaching (ADAPT): a snapshot of the early response by UK medical schools to COVID-19. medRxiv [Preprint]. doi.org/10.1101/2020.07.29.20163907
23. K Jobst, A Arora, K Pollitt, J Sled (2020). Dried blood spots for the identification of bio-accumulating organic compounds: current challenges and future perspectives. Current Opinion in Environmental Science & Health. doi.org/10.1016/j.coesh.2020.07.001
24. A Arora (2020). Disrupting clinical education: Using artificial intelligence to create training material. The Clinical Teacher. doi.org/10.1111/tct.13177
25. M Manimaran, A Arora, C Lovejoy, W Gao, M Maruthappu (2022). The role of artificial intelligence and machine learning in haematology. Journal of Clinical Pathology. dx.doi.org/10.1136/jclinpath-2021-208127
26. A Arora (2020). Moving towards sustainable dermatological practice. International Journal of Dermatology. doi.org/10.1111/ijd.15017
27. A Arora, A Arora (2020). Pathology training in the age of artificial intelligence. Journal of Clinical Pathology. doi.org/10.1136/jclinpath-2020-207110
28. InciSion UK Collaborative (2020). Global health education in medical schools (GHEMS): a national, collaborative study of medical curricula. BMC Medical Education. doi.org/10.1186/s12909-020-02315-x
29. A Arora, A Arora (2022). Effects of smart voice control devices on children: current challenges and future perspectives. Archives of Diseases in Childhood. https://doi.org/10.1136/archdischild-2022-323888
30. A Arora (2020). Robots will perform anaesthesia in the near future: Comment. Anaesthesiology. doi.org/10.1097/ALN.0000000000003434
31. A Arora, A Arora (2020). Ethics in the age of COVID-19. Internal and Emergency Medicine. doi.org/10.1007/s11739-020-02368-2
32. A Arora (2020). Life after COVID-19: A better normal? Perspectives in Public Health. doi.org/10.1177/1757913920951591
33. A Arora, A Khawaja, P Keane (2023). Chapter: Artificial intelligence and big data: technical considerations and clinical applications. In K Gillmann et al. (Eds.), The Science of Glaucoma Management. Elsevier. [In Press]
34. S Tiribelli et al (2023). Artificial intelligence-based telemedicine for public health: On the need to map and revise existing artificial intelligence ethics principles. American Journal of Public Health. [In Press]
35. M Byrne et al (2023). Examining medical student volunteering during the COVID-19 pandemic as a prosocial behaviour during an emergency. Postgraduate Medical Journal. [In Press]
36. A Arora, A Arora (2023). The Promise of Large Language Models (LLMs) in Healthcare. The Lancet. doi.org/10.1016/S0140-6736(23)00216-7