Dr Anmol Arora MBBChir (Hons) (Cantab)


University position

Clinical Research Associate

Departments

Department of Medicine

Institutes

Institute of Public Health

Email

research@anmol.info

Home page

http://www.anmolarora.org (personal home page)

Research Theme

Systems and Computational Neuroscience

The Cambridge Neuroscience Community

Interests

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 focusses 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 Focus

Keywords

artificial intelligence

machine learning

synthetic data

generative adversarial networks

deep learning

Clinical conditions

Alzheimer's disease

Dementia

Equipment

machine learning; artificial intelligence; generative adversarial networks; deep learning

Collaborators

No collaborators listed

Associated News Items


    Key publications

    Arora A (in press), “Synthetic data: The future of open-access healthcare datasets?” Lancet

    Arora A, Arora A (2023), “The Promise of Large Language Models (LLMs) in Healthcare” Lancet

    Arora A, Khawaja A, Keane P (in press), “Chapter: Artificial intelligence and big data: technical considerations and clinical applications” The Science of Glaucoma Management

    S Tiribelli et al (in press), “Artificial intelligence-based telemedicine for public health: On the need to map and revise existing artificial intelligence ethics principles” American Journal of Public Health

    Arora A 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

    Arora A, Arora A (2022), “Synthetic patient data in healthcare: A widening legal loophole” Lancet

    Arora A, Arora A (2022), “Generative adversarial networks and synthetic patient data: current challenges and future perspectives” Future Healthcare Journal

    Arora A, Arora A (2022), “Effects of smart voice control devices on children: current challenges and future perspectives” Archives of Diseases in Childhood

    Manimaran M, Arora A, Lovejoy C, Gao W, Maruthappu M (2022), “The role of artificial intelligence and machine learning in haematology” Journal of Clinical Pathology

    O'Kelly E, Arora A, Pirog S, Ward J, Clarkson J (2022), “Face Mask Fit Hacks: Improving the Fit of KN95 Masks and Surgical Masks with Fit Alteration Techniques” Plos One

    O’Kelly E, Arora A, Pearson C, Ward J, Clarkson J (2022), “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

    Arora A, Wright A, Cheng M, Khwaja Z, Seah M (2021), “Innovation Pathways in the NHS: An Introductory Review” Therapeutic Innovation and Regulatory Science

    Byrne M, Ashcroft J, Wan JCM, Arora A 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

    Crome P, Arora A, Arora A (2021), “Chapter 139: Elder Abuse” Oxford Textbook of Geriatric Medicine

    Hedman M, Rojas A, Arora A, Ola D (2021), “Developing and comparing machine learning models to detect sleep apnoea using single-lead electrocardiogram (ECG) monitoring” medRxiv

    Koelmel J, Tan WY, Li Y et al (2021), “Lipidomics and redox lipidomics indicate early-stage alcohol-induced liver damage” Hepatology Communications

    Lovejoy C, Arora A et al (2021), “Key considerations for the use of artificial intelligence (AI) in healthcare and clinical research” Future Healthcare Journal

    Arora A (2020), “Conceptualising artificial intelligence as a digital healthcare innovation: an introductory review” Medical Devices

    Arora A (2020), “Shooting from the hip into our own foot? A perspective on how artificial intelligence may disrupt medical training” Future Healthcare Journal

    Arora A (2020), “Artificial intelligence: A new frontier for anaesthesiology training” British Journal of Anaesthesia

    Arora A (2020), “Disrupting clinical education: Using artificial intelligence to create training material” The Clinical Teacher

    Arora A, Arora A (2020), “Pathology training in the age of artificial intelligence” Journal of Clinical Pathology

    Arora A, Pell D, van Slujis E, Winpenny E (2020), “How do associations between sleep duration and metabolic health differ with age in the UK general population?” Plos One

    Jobst K, Arora A, Pollitt K, Sled J (2020), “Dried blood spots for the identification of bio-accumulating organic compounds: current challenges and future perspectives” Current Opinion in Environmental Science & Health

    O’Kelly E, Arora A, Pirog S, Ward J, Clarkson J (2020), “Comparing the Fit of N95, KN95, Surgical, and Cloth Face Masks and Assessing the Accuracy of Fit Checking” Plos One