Publications

Innovation Pathways in the NHS: An Introductory Review.

Synthetic patient data in healthcare: A widening legal loophole

How do associations between sleep duration and metabolic health differ with age in the UK general population?

Comparing the Fit of N95, KN95, Surgical, and Cloth Face Masks and Assessing the Accuracy of Fit Checking

Developing and comparing machine learning models to detect sleep apnoea using single-lead electrocardiogram (ECG) monitoring

Face mask fit hacks: Improving the fit of KN95 masks and surgical masks with fit alteration techniques

Chapter 139: Elder Abuse. In J Michel et al. (Eds.), Oxford Textbook of Geriatric Medicine

COVIDReady2 Study Protocol: Cross-sectional Survey of Medical Student Volunteering and Education During the COVID-19 Pandemic in the United Kingdom

Lipidomics and redox lipidomics indicate early-stage alcohol-induced liver damage

Key considerations for the use of artificial intelligence (AI) in healthcare and clinical research. Future Healthcare Journal

How well do face masks protect the wearer compared to public perceptions?

Performing Qualitative Mask Fit Testing without a Commercial Kit: Fit Testing Which can be Performed at Home and at Work

Experimental Measurement of the Size of Gaps Required to Compromise Fit of an N95 Respirator

QFEA -A Method for Assessing the Filtration Efficiency of Face Mask Materials for Early Design Prototypes and Home Mask Makers

Conceptualising artificial intelligence as a digital healthcare innovation: an introductory review

Shooting from the hip into our own foot? A perspective on how artificial intelligence may disrupt medical training

Improving Fabric Face Masks: Impact of Design Features on the Protection Offered by Fabric Face Masks

Artificial intelligence: A new frontier for anaesthesiology training

Adapting to disrupted assessments placements and teaching (ADAPT): a snapshot of the early response by UK medical schools to COVID-19

Dried blood spots for the identification of bio-accumulating organic compounds: current challenges and future perspectives

Disrupting clinical education: Using artificial intelligence to create training material

Moving towards sustainable dermatological practice

Pathology training in the age of artificial intelligence

Global health education in medical schools (GHEMS): a national, collaborative study of medical curricula

Robots will perform anaesthesia in the near future: Comment

Ethics in the age of COVID-19

Life after COVID-19: A better normal?

Role of artificial intelligence and machine learning in haematology

Generative adversarial networks and synthetic patient data: current challenges and future perspectives

Assessment of machine learning algorithms in national data to classify the risk of self-harm among young adults in hospital: a retrospective study

Effects of smart voice control devices on children: current challenges and future perspectives

Chapter: Artificial intelligence and Big Data: technical considerations and clinical applications

Artificial intelligence-based telemedicine for public health: On the need to map and revise existing artificial intelligence ethics principles

Examining medical student volunteering during the COVID-19 pandemic as a prosocial behaviour during an emergency

The Promise of Large Language Models (LLMs) in Healthcare

Synthetic data: The future of open-access healthcare datasets?

Clinical support during Covid-19: an opportunity for service and learning? A cross-sectional survey of UK medical students

Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset

Risk and the future of AI: Algorithmic bias, data colonialism, and marginalization

Moravec’s paradox and the fear of job automation in healthcare

The value of standards for health datasets in artificial intelligence-based applications

Exploring patient and public participation in the STANDING Together initiative for healthcare artificial intelligence (AI) in healthcare

[In Press]

Generalisable Overview of Study Risk for Lead Investigators Needing Guidance (GOSLING): A Data Governance Risk Tool

Practical Implementation of Generative Artificial Intelligence Systems in Healthcare: A United States Perspective

Automated Machine Learning (AutoML) for the Diagnosis of Melanoma Skin Lesions From Consumer-Grade Camera Photos

Artificial Intelligence in the National Health Service:  Moving from Ideation to Implementation

The urgent need to accelerate synthetic data privacy frameworks for medical research

[In Press]

External Control Arm with Synthetic Real-world Data for Comparative Oncology using Single Trial Arm Evidence (ECLIPSE): A Case Study using Lung-MAP S1400I

Tackling algorithmic bias and promoting transparency in health data: the STANDING Together consensus recommendations

[In Press]