AIMC Topic: England
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Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation.
JMIR medical informatics
Jul 10, 2025
BACKGROUND: Understanding and improving patient care is pivotal for health care providers. With increasing volumes of the Friends and Family Test (FFT) data in England, manual analysis of this patient feedback poses challenges for many health care or...
Data-driven prediction of daily Cryptosporidium river concentrations for water resource management: Use of catchment-averaged vs spatially distributed features in a Bagging-XGBoost model.
The Science of the total environment
Jun 20, 2025
Cryptosporidium is a waterborne pathogen which poses a major challenge to water utilities because of its resistance to chlorination and its infectivity at very low concentrations. The ability to make predictions of Cryptosporidium concentrations in r...
Is personality associated with the lived experience of the NHS England low calorie diet programme: A pilot study.
Clinical obesity
Feb 25, 2025
This pilot study explored the use of a novel behavioural artificial intelligence (AI) tool to examine whether personality is associated with the lived experience of the NHS England launched a low calorie diet (LCD). A cross-sectional survey was disse...
CODE-ACCORD: A Corpus of building regulatory data for rule generation towards automatic compliance checking.
Scientific data
Jan 29, 2025
Automatic Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector necessitates automating the interpretation of building regulations to achieve its full potential. Converting textual rules into machine-readable f...
Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.
PloS one
Jan 27, 2025
During winter months, there is increased pressure on health care systems in temperature climates due to seasonal increases in respiratory illnesses. Providing real-time short-term forecasts of the demand for health care services helps managers plan t...
Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme.
Diabetes research and clinical practice
Dec 19, 2024
AIMS: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retinopathy as accurately as human graders, but it is not yet licensed in the NHS Diabetic Eye Screening Programme (DESP) in England. This study aims to ass...
Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models.
PLoS computational biology
Nov 21, 2024
Measles is an important infectious disease system both for its burden on public health and as an opportunity for studying nonlinear spatio-temporal disease dynamics. Traditional mechanistic models often struggle to fully capture the complex nonlinear...
I-SIRch: AI-powered concept annotation tool for equitable extraction and analysis of safety insights from maternity investigations.
International journal of population data science
Nov 20, 2024
BACKGROUND: Maternity care is a complex system involving treatments and interactions between patients, healthcare providers, and the care environment. To enhance patient safety and outcomes, it is crucial to understand the human factors (e.g. individ...
Artificial Intelligence for Clinical Decision-Making: Gross Negligence Manslaughter and Corporate Manslaughter.
The New bioethics : a multidisciplinary journal of biotechnology and the body
Oct 22, 2024
This paper discusses the risk of gross negligence manslaughter (GNM) and corporate manslaughter charges (CM) when clinicians use an artificially intelligent system's (AIS's) outputs in their practice. I identify the elements of these offenses within ...
Predicting criminal offence in adolescents who exhibit antisocial behaviour: a machine learning study using data from a large randomised controlled trial of multisystemic therapy.
European child & adolescent psychiatry
Oct 8, 2024
INTRODUCTION: Accurate prediction of short-term offending in young people exhibiting antisocial behaviour could support targeted interventions. Here we develop a set of machine learning (ML) models that predict offending status with good accuracy; fu...
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