Anmol Arora

University of Cambridge | Cam · School of Clinical Medicine

Background Clinical electives are a compulsory part of many medical courses, enabling students to gain exposure to foreign health systems. The COVID‐19 pandemic led to a surge in the development in virtual elective programmes, for which there had been a sparse evidence base. This is the first systematic review assessing the implementation, advantag...

Single-arm trials supplemented with external comparator arm(s) (ECA) derived from real-world data are sometimes used when randomized trials are infeasible. However, due to data sharing restrictions, privacy/security concerns, or for logistical reasons, patient-level real-world data may not be available to researchers for analysis. Instead, it may b...

Background: In recent years, there has been much speculation about the role of artificial intelligence (AI) and machine learning in dermatology. Advances in computer vision have increased the potential for automated diagnosis of images. However, there remains a gap between the technological development of the algorithms and their real-world impleme...

Introduction Digitisation of patient records, coupled with a moral imperative to use routinely collected data for research, necessitate effective data governance that both facilitates evidence-based research and minimises associated risks. The Generalisable Overview of Study Risk for Lead Investigators Needing Guidance (GOSLING) provides the first...

Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate existing health inequity. This problem arises in part because of systemic inequalities in dataset c...

Background: Self-harm is one of the most common presentations at accident and emergency departments in the UK and is a strong predictor of suicide risk. The UK Government has prioritised identifying risk factors and developing preventative strategies for self-harm. Machine learning offers a potential method to identify complex patterns with predic...

Purpose: Understanding the factors that influence prosocial behaviour during the COVID-19 pandemic is essential due to the disruption to healthcare provision. Methods: We conducted an in-depth, mixed-methods cross-sectional survey, from 2 May 2020 to 15 June 2020, of medical students at medical schools in the United Kingdom. Data analysis was in...

Purpose: Medical students providing support to clinical teams during Covid-19 may have been an opportunity for service and learning. We aimed to understand why the reported educational impact has been mixed to inform future placements. Methods: We conducted a cross-sectional survey of medical students at UK medical schools during the first Covid...

Introduction The potential for synthetic data to act as a replacement for real data in research has attracted attention in recent months due to the prospect of increasing access to data and overcoming data privacy concerns when sharing data. The field of generative artificial intelligence and synthetic data is still early in its development, with a...

The use of artificial intelligence (AI) in the field of telemedicine has grown exponentially over the past decade, along with the adoption of AI-based telemedicine to support public health systems. Although AI-based telemedicine can open up novel opportunities for the delivery of clinical health and care and become a strong aid to public health sys...

Background Self-harm is one of the most common presentations at accident and emergency departments in the UK and is a strong predictor of suicide risk. The UK Government has prioritised identifying risk factors and developing preventative strategies for self-harm. Machine learning offers a potential method to identify complex patterns with predicti...

Artificial intelligence (AI) has been heralded as one of the key technological innovations of the 21st century. Within healthcare, much attention has been placed upon the ability of deductive AI systems to analyse large datasets to find patterns that would be unfeasible to program. Generative AI, including generative adversarial networks, are a new...

Introduction During the course of the COVID-19 pandemic, there have been suggestions that various techniques could be employed to improve the fit and, therefore, the effectiveness of face masks. It is well recognized that improving fit tends to improve mask effectiveness, but whether these fit modifiers are reliable remains unexplored. In this stud...

Objectives The effectiveness of filtering facepiece respirators such as N95 respirators is heavily dependent on the fit. However, there have been limited efforts to discover the size of the gaps in the seal required to compromise filtering facepiece respirator performance, with prior studies estimating this size based on in vitro models. In this st...

Interest in artificial intelligence (AI) has grown exponentially in recent years, attracting sensational headlines and speculation. While there is considerable potential for AI to augment clinical practice, there remain numerous practical implications that must be considered when exploring AI solutions. These range from ethical concerns about algor...

Alcoholic fatty liver disease (AFLD) is characterized by lipid accumulation and inflammation and can progress to cirrhosis and cancer in the liver. AFLD diagnosis currently relies on histological analysis of liver biopsies. Early detection permits interventions that would prevent progression to cirrhosis or later stages of the disease. Herein, we h...

Elder abuse is still under-reported and under-recognized in many cases. This chapter discusses definitions of elder abuse and key issues related to this serious problem including barriers that prevent vulnerable older people seeking help. This chapter also examines the role of health professionals in early identification and management of elder abu...

Elder abuse is still under-reported and under-recognized in many cases. This chapter discusses definitions of elder abuse and key issues related to this serious problem including barriers that prevent vulnerable older people seeking help. This chapter also examines the role of health professionals in early identification and management of elder abu...

Background: Volunteering to work in a clinical capacity during the Covid-19 pandemic was a unique learning experience for medical students, but it is unknown whether this helped prepare students for practice as doctors. Volunteering may benefit students through service-based learning, a method of teaching where students perform roles that intersect...

Healthcare as an industry is recognised as one of the most innovative. Despite heavy regulation, there is substantial scope for new technologies and care models to not only boost patient outcomes but to do so at reduced cost to healthcare systems and consumers. Promoting innovation within national health systems such as the National Health Service...

Background Sleep apnoea has a high disease burden but remains underdiagnosed, in part due to the expensive and resource intensive nature of polysomnography, its definitive investigation. Emerging literature suggests that it may be possible to detect sleep apnoea using single-lead ECG signals, such as those obtained from smartwatches. In this study,...

Background The coronavirus disease 2019 pandemic has led to global disruption of healthcare. Many students volunteered to provide clinical support. Volunteering to work in a clinical capacity was a unique medical education opportunity; however, it is unknown whether this was a positive learning experience or which volunteering roles were of most be...

Introduction COVID-19 led to global disruption of healthcare and many students volunteered to provide clinical support. Volunteering to work was a unique medical education opportunity; however, it is unknown whether this was a positive learning experience. Methods The COVID Ready 2 study is a national cross-sectional study of all medical students a...

Background and objectives: Covid-19 has led to global disruption of healthcare. Many students volunteered to provide clinical support. Volunteering to work in a clinical capacity was a unique medical education opportunity; however, it is unknown whether this was a positive learning experience or which volunteering roles were of most benefit to stud...

Introduction There is a growing body of evidence to support the wearing of face masks to reduce spread of infectious respiratory pathogens, including SARS-CoV-2. However, the literature exploring the effectiveness of homemade fabric face masks is still in its infancy. Developing an evidence base is an important step to ensure that public policy is...

Introduction The COVID-19 pandemic has made well-fitting face masks a critical piece of protective equipment for healthcare workers and civilians. While the importance of wearing face masks has been acknowledged, there remains a lack of understanding about the role of good fit in rendering protective equipment useful. In addition, supply chain cons...

Objective With much of the public around the world depending on fabric face masks to protect themselves and others, it is essential to understand how the protective ability of fabric masks can be enhanced. This study evaluated the protection offered by eighteen fabric masks designs. In addition, it assessed the benefit of including three design fea...

The COVID-19 pandemic has led to a surge in the design and production of fabric face coverings. There are few published methods which enable mask designers, makers and purchasers to assess the relative filtration ability of mask making materials. Those methods which do exist are prohibitively expensive and difficult to conduct. As a result, mask ma...

Introduction: COVID-19 led to global disruption of healthcare and many students volunteered to provide clinical support. Volunteering to work was a unique medical education opportunity; however, it is unknown whether this was a positive learning experience. Methods: The COVID Ready 2 study is a national cross-sectional study of all medical student...

Background Despite a growing body of evidence suggesting that short sleep duration may be linked to adverse metabolic outcomes, how these associations differ between age groups remains unclear. We use eight years of data from the UK National Diet and Nutritional Survey (NDNS) (2008–2016) to analyse cross-sectional relationships between sleep durati...

The COVID-19 pandemic has drawn unprecedented attention to the use of masks and fabric face coverings to prevent the spread of respiratory viruses, such as SARS-CoV-2. The fit of a mask has been identified as one the primary factors in determining the effectiveness of masks. If substantial gaps exist between the mask and the wearers face, air may t...

Background Global health is the study, research, and practice of medicine focused on improving health and achieving health equity for all persons worldwide. International and national bodies stipulate that global health be integrated into medical school curricula. However, there is a global paucity of data evaluating the state of global health teac...

Introduction: Qualitative fit testing is a popular method of ensuring the fit of sealing face masks such as N95 and FFP3 masks. Increased demand due to the COVID-19 pandemic has led to shortages in testing equipment and has forced many institutions to abandon fit testing. Three key materials are required for qualitative fit testing: the test solut...

Introduction: The COVID-19 pandemic has made well-fitting face masks a critical piece of protective equipment for healthcare workers and civilians. While the importance of wearing face masks has been acknowledged, there remains a lack of understanding about the role of good fit in rendering protective equipment useful. In addition, supply chain con...

Artificial intelligence (AI) is widely recognised as a transformative innovation and is already proving capable of outperforming human clinicians in the diagnosis of specific medical conditions, especially in image analysis within dermatology and radiology. These abilities are enhanced by the capacity of AI systems to learn from patient records, ge...

Introduction: Qualitative fit testing is a popular method of ensuring the fit of sealing face masks such as N95 and FFP3 masks. Increased demand due to the COVID-19 pandemic has led to shortages in testing equipment and has forced many institutions to abandon fit testing. Three key materials are required for qualitative fit testing: the test soluti...

Background Medical school assessments, clinical placements and teaching have been disrupted by the COVID-19 pandemic. The ADAPT consortium was formed to document and analyse the effects of the pandemic on medical education in the United Kingdom (UK), with the aim of capturing current and future snapshots of disruption to inform trends in the future...

The exposome is a concept that underlines the critical relationship between health and environmental exposures, including environmental toxicants. Currently, most environmental exposures that contribute to the exposome have not been characterized. Dried-blood spots (DBS) offer a cost-effective, reliable approach to characterize the blood exposome,...