Project Tags
Below the tags are sorted by categories (Project Status, Data Sources, Domain Areas, Techniques, Coding Language, Data Types, Evaluation Metrics, and Project Type), however if you would like an alphabetical list of all of the tags it can be found here.
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Domain Areas
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Techniques
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Project Type (exploratory, modeling, etc.)
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Data Types
Structure
Data modality
Data Accessibility/Privacy
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Coding Language
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Status
Deployment Level
Alphabetical List of Tags
BEST PRACTICE
- Process Mining on Patient Pathways in Healthcare
- AI Deep Dive Workshops
- AI Ethics in Practice at NHS England
- AI Ethics in Practice at NHS England
- How to Assess the Privacy of Unstructured Data
- NHS Reproducible Analytical Pipelines (RAP) Champion Squad
- AI Assurance Research Path
- Overview - Data Linkage Hub
- Data Linkage Community of Practice (DL CoP)
- Quality Assurance Framework for Data Linkage
CLASSIFICATION
- Supporting Dementia Diagnosis
- Predicting GP Staff Turnover
- Predicting perinatal depression
- Predicting perinatal depression
- Poor pregnancy outcomes in women with type 2 diabetes
- UTI Surgery Risk Predictions
- Using deep learning to detect adrenal lesions in CT scans
- NHS AI Lab Skunkworks
- AI Assurance Research Path
- PLOS: Predicting Length of Stay
- Long Stayer Risk Stratification Baseline Models
- Predicting negligence claims with NHS Resolution
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
- Investigating Superpixels in LIME for Explaining Predictions of Facial Images
- Parkinson's Disease Pathology Prediction
- Renal Health Prediction
COMPLETE
- Prediction of CVD Onset
- Supporting Dementia Diagnosis
- Predicting GP Staff Turnover
- Menopause-Related Diagnosis Coding
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- Poor pregnancy outcomes in women with type 2 diabetes
- Process Mining on Patient Pathways in Healthcare
- UTI Surgery Risk Predictions
- Using deep learning to detect adrenal lesions in CT scans
- AI Deep Dive Workshops
- AI Dictionary
- NHS AI Lab Skunkworks
- Bed allocation
- How to Assess the Privacy of Unstructured Data
- Creating a Generic Adversarial Attack for any Synthetic Dataset
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Exploring how to create mock patient data (synthetic data) from real patient data
- CT Alignment and Lesion Detection
- Data Lens
- NHS Reproducible Analytical Pipelines (RAP) Champion Squad
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Long Stayer Risk Stratification Baseline Models
- Long Stayer Risk Stratification
- Predicting negligence claims with NHS Resolution
- Nursing Placement Schedule Optimisation Tool
- Working with a Trusted Research Environment - the NHS @Home programme
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
- Developing our SynthVAE code
- Descriptive text from X-Ray Images (TxtRayAlign)
- Text Analysis using Structural Topic Modelling
- Investigating Superpixels in LIME for Explaining Predictions of Facial Images
- Adding a Clinical Focus to Evaluating Multi-Modal Data Representations
- Inequalities in Diabetes from PHM Data
- Investigating Applying and Evaluating a Language Model to Patient Safety Data
- Parkinson's Disease Pathology Prediction
- NHS.UK: Automatic Moderation of Ratings & Reviews
- Redbox Copilot
- Renal Health Prediction
- Reusable New Data Product Validation Functions
- Synthetic Data Generation Pipeline
- MPS Documentation - the Person_ID handbook
- Quality Assurance Framework for Data Linkage
COMPUTER VISION
- Using deep learning to detect adrenal lesions in CT scans
- CT Alignment and Lesion Detection
- AI Assurance Research Path
DATA VALIDATION
- Creating a Generic Adversarial Attack for any Synthetic Dataset
- Building a Tool to Assess the Privacy Risk of Text Data
- Working with a Trusted Research Environment - the NHS @Home programme
- NHS.UK: Automatic Moderation of Ratings & Reviews
- Reusable New Data Product Validation Functions
DEEP LEARNING
DEPLOYED
- Accident and Emergency (A&E) Forecasting Tool
- Text Analysis using Structural Topic Modelling
- NHS.UK: Automatic Moderation of Ratings & Reviews
- Reusable New Data Product Validation Functions
- Quality Assurance Framework for Data Linkage
DISEASES
- Prediction of CVD Onset
- Predicting perinatal depression
- Process Mining on Patient Pathways in Healthcare
- Using deep learning to detect adrenal lesions in CT scans
- CVD Pathways
- Applying our SynPath Simulator to a Diabetes Pathway
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
- Investigating Superpixels in LIME for Explaining Predictions of Facial Images
- Inequalities in Diabetes from PHM Data
- Parkinson's Disease Pathology Prediction
- Renal Health Prediction
- Developing Artificial Primary Care Records
DOCUMENTATION
EMERGENCY CARE
ETHICS
- AI Ethics in Practice at NHS England
- How to Assess the Privacy of Unstructured Data
- Creating a Generic Adversarial Attack for any Synthetic Dataset
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- Inequalities in Diabetes from PHM Data
- Data Linkage Community of Practice (DL CoP)
EXPERIMENTAL
- Considerations for Building a Language Corpus with a Focus on the NHS
- CT Alignment and Lesion Detection
- Data Lens
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Predicting negligence claims with NHS Resolution
- Nursing Placement Schedule Optimisation Tool
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
- Descriptive text from X-Ray Images (TxtRayAlign)
- Investigating Superpixels in LIME for Explaining Predictions of Facial Images
- Adding a Clinical Focus to Evaluating Multi-Modal Data Representations
- Investigating Applying and Evaluating a Language Model to Patient Safety Data
- Renal Health Prediction
- Synthetic Data Generation Pipeline
EXPLAINABILITY
- Menopause-Related Diagnosis Coding
- PLOS: Predicting Length of Stay
- Investigating Superpixels in LIME for Explaining Predictions of Facial Images
- Data Linkage Community of Practice (DL CoP)
- MPS Documentation - the Person_ID handbook
- Quality Assurance Framework for Data Linkage
FDP
FINANCIAL
FORECASTING
- Prediction of CVD Onset
- Supporting Dementia Diagnosis
- Predicting GP Staff Turnover
- Predicting perinatal depression
- Accident and Emergency (A&E) Forecasting Tool
- Ambulance Handover Delay Predictor
- Bed allocation
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
GENERATION
- Building the Foundations for a Generic Patient Simulator (SynPath)
- Exploring how to create mock patient data (synthetic data) from real patient data
- Data Lens
- Applying our SynPath Simulator to a Diabetes Pathway
- Investigating Differential Privacy in a Variational AutoEncoder for Synthetic Data Generation
- NHSSynth
- Redbox Copilot
- Developing Artificial Primary Care Records
- Synthetic Data Generation Pipeline
GENOMICS DATA
IN DEVELOPMENT
- PLOS: Predicting Length of Stay
- Developing Artificial Primary Care Records
- Probabilistic Linkage Model
LINKAGE
- Predicting GP Staff Turnover
- Menopause-Related Diagnosis Coding
- Predicting perinatal depression
- UTI Surgery Risk Predictions
- CVD Pathways
- ePMA Auto-Coding
- Embedded Data Scientists in the National Disease Registration Service (NDRS)
- Overview - Data Linkage Hub
- Probabilistic Linkage Model
- Data Linkage Community of Practice (DL CoP)
- MPS Documentation - the Person_ID handbook
- Quality Assurance Framework for Data Linkage
LLM
- Building a Tool to Assess the Privacy Risk of Text Data
- Building a Tool to Assess the Privacy Risk of Text Data
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Clinical Measurement Extractor
- Retrieval Augmented Generation
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- AI Assurance Research Path
- Synthetic Clinical Notes
- Investigating Applying and Evaluating a Language Model to Patient Safety Data
- Investigating Privacy Risks and Mitigations in Healthcare Language Models
- Redbox Copilot
MACHINE LEARNING
- Predicting GP Staff Turnover
- Menopause-Related Diagnosis Coding
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- UTI Surgery Risk Predictions
- Risk stratification models for Population and Person Insights (PaPI)
- Ambulance Handover Delay Predictor
- Cancer high-risk cohorts
- Clinical Measurement Extractor
- CT Alignment and Lesion Detection
- AI Assurance Research Path
- PLOS: Predicting Length of Stay
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Long Stayer Risk Stratification Baseline Models
- Long Stayer Risk Stratification
- Predicting negligence claims with NHS Resolution
- Nursing Placement Schedule Optimisation Tool
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
- Inequalities in Diabetes from PHM Data
- NHSSynth
MODELLING
- Supporting Dementia Diagnosis
- Predicting GP Staff Turnover
- Menopause-Related Diagnosis Coding
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- Poor pregnancy outcomes in women with type 2 diabetes
- Process Mining on Patient Pathways in Healthcare
- UTI Surgery Risk Predictions
- Risk stratification models for Population and Person Insights (PaPI)
- Accident and Emergency (A&E) Forecasting Tool
- Using deep learning to detect adrenal lesions in CT scans
- Bed allocation
- PLOS: Predicting Length of Stay
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Long Stayer Risk Stratification Baseline Models
- Long Stayer Risk Stratification
- Predicting negligence claims with NHS Resolution
- Nursing Placement Schedule Optimisation Tool
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
- Developing our SynthVAE code
- Text Analysis using Structural Topic Modelling
- Transforming Healthcare Data With Graph-Based Techniques
- Including Mortality in Hypergraphs for Multi-morbidity
- Process Mining with East Midlands Ambulance Service
- Parkinson's Disease Pathology Prediction
- Renal Health Prediction
- Developing Artificial Primary Care Records
- Probabilistic Linkage Model
MULTI MODAL
- Predicting perinatal depression
- Descriptive text from X-Ray Images (TxtRayAlign)
- Adding a Clinical Focus to Evaluating Multi-Modal Data Representations
- Understanding Fariness and Explainability in Multimodal Approaches within Healthcare
MULTI-MODAL
NATURAL LANGUAGE PROCESSING
- Considerations for Building a Language Corpus with a Focus on the NHS
- How to Assess the Privacy of Unstructured Data
- Building a Tool to Assess the Privacy Risk of Text Data
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Clinical Measurement Extractor
- Data Lens
- Retrieval Augmented Generation
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- AI Assurance Research Path
- Descriptive text from X-Ray Images (TxtRayAlign)
- Text Analysis using Structural Topic Modelling
- Adding a Clinical Focus to Evaluating Multi-Modal Data Representations
- Investigating Applying and Evaluating a Language Model to Patient Safety Data
- Enriching Clinical Coding for Neurology Pathways using MedCAT
- NHS.UK: Automatic Moderation of Ratings & Reviews
- Redbox Copilot
NEURAL NETWORKS
- UTI Surgery Risk Predictions
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Exploring how to create mock patient data (synthetic data) from real patient data
- Long Stayer Risk Stratification
- Parkinson's Disease Pathology Prediction
- Renal Health Prediction
OPEN DATA
- Process Mining on Patient Pathways in Healthcare
- AI Deep Dive Workshops
- NHS AI Lab Skunkworks
- Considerations for Building a Language Corpus with a Focus on the NHS
- How to Assess the Privacy of Unstructured Data
- Retrieval Augmented Generation
- Understanding Fariness and Explainability in Multimodal Approaches within Healthcare
- Emerging Privacy Enhancing Technologies
PATIENT IDENTIFIABLE DATA
- Prediction of CVD Onset
- Supporting Dementia Diagnosis
- Predicting GP Staff Turnover
- Impact of midwife-led continuity of carer on birth outcomes
- UTI Surgery Risk Predictions
- How to Assess the Privacy of Unstructured Data
- Exploring how to create mock patient data (synthetic data) from real patient data
- Investigating Privacy Risks and Mitigations in Healthcare Language Models
- Synthetic Data Generation Pipeline
- Probabilistic Linkage Model
- MPS Documentation - the Person_ID handbook
PAUSED
- Building the Foundations for a Generic Patient Simulator (SynPath)
- Considerations for Building a Language Corpus with a Focus on the NHS
- Building a Tool to Assess the Privacy Risk of Text Data
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- Developing Artificial Primary Care Records
POPULATION HEALTH
- Prediction of CVD Onset
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- Risk stratification models for Population and Person Insights (PaPI)
- NHS AI Lab Skunkworks
- Cancer high-risk cohorts
- CVD Pathways
- Embedded Data Scientists in the National Disease Registration Service (NDRS)
- Inequalities in Diabetes from PHM Data
- Probabilistic Linkage Model
PRESCRIBING
- ePMA Auto-Coding
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
PRIMARY CARE
- Supporting Dementia Diagnosis
- Predicting perinatal depression
- CVD Pathways
- Working with a Trusted Research Environment - the NHS @Home programme
- Transforming Healthcare Data With Graph-Based Techniques
- Including Mortality in Hypergraphs for Multi-morbidity
- Developing Artificial Primary Care Records
PSEUDONYMISED
- Bed allocation
- CT Alignment and Lesion Detection
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Nursing Placement Schedule Optimisation Tool
- Reusable New Data Product Validation Functions
- Synthetic Data Generation Pipeline
PUBLICATIONS
PYTHON
- Prediction of CVD Onset
- Supporting Dementia Diagnosis
- Predicting GP Staff Turnover
- Menopause-Related Diagnosis Coding
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- Poor pregnancy outcomes in women with type 2 diabetes
- Process Mining on Patient Pathways in Healthcare
- UTI Surgery Risk Predictions
- Risk stratification models for Population and Person Insights (PaPI)
- Accident and Emergency (A&E) Forecasting Tool
- Using deep learning to detect adrenal lesions in CT scans
- NHS AI Lab Skunkworks
- Ambulance Handover Delay Predictor
- Bed allocation
- Building the Foundations for a Generic Patient Simulator (SynPath)
- Considerations for Building a Language Corpus with a Focus on the NHS
- How to Assess the Privacy of Unstructured Data
- Creating a Generic Adversarial Attack for any Synthetic Dataset
- Building a Tool to Assess the Privacy Risk of Text Data
- Building a Tool to Assess the Privacy Risk of Text Data
- Cancer high-risk cohorts
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Exploring how to create mock patient data (synthetic data) from real patient data
- Clinical Measurement Extractor
- Corporate Services: Pipeline Rebuild
- CT Alignment and Lesion Detection
- CVD Pathways
- Data Lens
- NHS Reproducible Analytical Pipelines (RAP) Champion Squad
- Retrieval Augmented Generation
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- AI Assurance Research Path
- Synthetic Clinical Notes
- PLOS: Predicting Length of Stay
- ePMA Auto-Coding
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Long Stayer Risk Stratification Baseline Models
- Long Stayer Risk Stratification
- Predicting negligence claims with NHS Resolution
- Nursing Placement Schedule Optimisation Tool
- Investigating Differential Privacy in a Variational AutoEncoder for Synthetic Data Generation
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
- Developing our SynthVAE code
- Descriptive text from X-Ray Images (TxtRayAlign)
- Investigating Superpixels in LIME for Explaining Predictions of Facial Images
- Adding a Clinical Focus to Evaluating Multi-Modal Data Representations
- Inequalities in Diabetes from PHM Data
- Investigating Applying and Evaluating a Language Model to Patient Safety Data
- Parkinson's Disease Pathology Prediction
- NHS.UK: Automatic Moderation of Ratings & Reviews
- Redbox Copilot
- Renal Health Prediction
- Reusable New Data Product Validation Functions
- Synthetic Data Generation Pipeline
- Probabilistic Linkage Model
- MPS Documentation - the Person_ID handbook
R
- Prediction of CVD Onset
- Impact of midwife-led continuity of carer on birth outcomes
- Process Mining on Patient Pathways in Healthcare
- NHS Reproducible Analytical Pipelines (RAP) Champion Squad
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Embedded Data Scientists in the National Disease Registration Service (NDRS)
RAP
- Cancer high-risk cohorts
- Corporate Services: Pipeline Rebuild
- CVD Pathways
- NHS Reproducible Analytical Pipelines (RAP) Champion Squad
RESEARCH
- Prediction of CVD Onset
- Supporting Dementia Diagnosis
- Predicting GP Staff Turnover
- Menopause-Related Diagnosis Coding
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- Process Mining on Patient Pathways in Healthcare
- UTI Surgery Risk Predictions
- AI Ethics in Practice at NHS England
- NHS AI Lab Skunkworks
- Considerations for Building a Language Corpus with a Focus on the NHS
- How to Assess the Privacy of Unstructured Data
- Building a Tool to Assess the Privacy Risk of Text Data
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Retrieval Augmented Generation
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Investigating Applying and Evaluating a Language Model to Patient Safety Data
- Transforming Healthcare Data With Graph-Based Techniques
- NHSSynth
- Including Mortality in Hypergraphs for Multi-morbidity
- Enriching Clinical Coding for Neurology Pathways using MedCAT
- Investigating Privacy Risks and Mitigations in Healthcare Language Models
- Understanding Fariness and Explainability in Multimodal Approaches within Healthcare
- Emerging Privacy Enhancing Technologies
- Synthetic Data Generation Pipeline
SECONDARY CARE
- Prediction of CVD Onset
- Menopause-Related Diagnosis Coding
- Predicting perinatal depression
- UTI Surgery Risk Predictions
- Accident and Emergency (A&E) Forecasting Tool
- Ambulance Handover Delay Predictor
- Bed allocation
- CT Alignment and Lesion Detection
- CVD Pathways
- Synthetic Clinical Notes
- PLOS: Predicting Length of Stay
- ePMA Auto-Coding
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Long Stayer Risk Stratification Baseline Models
- Long Stayer Risk Stratification
- Nursing Placement Schedule Optimisation Tool
- Descriptive text from X-Ray Images (TxtRayAlign)
- Adding a Clinical Focus to Evaluating Multi-Modal Data Representations
SIMULATION
- Bed allocation
- Building the Foundations for a Generic Patient Simulator (SynPath)
- Nursing Placement Schedule Optimisation Tool
- Applying our SynPath Simulator to a Diabetes Pathway
- Investigating Differential Privacy in a Variational AutoEncoder for Synthetic Data Generation
- Developing our SynthVAE code
- Process Mining with East Midlands Ambulance Service
- Developing Artificial Primary Care Records
- Synthetic Data Generation Pipeline
SQL
- Prediction of CVD Onset
- Predicting GP Staff Turnover
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- Long Stayer Risk Stratification Baseline Models
- Long Stayer Risk Stratification
- Embedded Data Scientists in the National Disease Registration Service (NDRS)
- Working with a Trusted Research Environment - the NHS @Home programme
STRUCTURED DATA
- Prediction of CVD Onset
- Supporting Dementia Diagnosis
- Predicting GP Staff Turnover
- Menopause-Related Diagnosis Coding
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- Poor pregnancy outcomes in women with type 2 diabetes
- Process Mining on Patient Pathways in Healthcare
- UTI Surgery Risk Predictions
- Risk stratification models for Population and Person Insights (PaPI)
- Accident and Emergency (A&E) Forecasting Tool
- Building the Foundations for a Generic Patient Simulator (SynPath)
- Creating a Generic Adversarial Attack for any Synthetic Dataset
- Creating a Generic Adversarial Attack for any Synthetic Dataset
- Cancer high-risk cohorts
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Exploring how to create mock patient data (synthetic data) from real patient data
- Corporate Services: Pipeline Rebuild
- CVD Pathways
- Waiting List Minimum Dataset (WLMDS) Proofs of Concept
- Long Stayer Risk Stratification Baseline Models
- Long Stayer Risk Stratification
- Predicting negligence claims with NHS Resolution
- Working with a Trusted Research Environment - the NHS @Home programme
- Using Model Class Reliance to Understand the Impact of Commerical Data on Predictions
- Inequalities in Diabetes from PHM Data
- NHSSynth
- Renal Health Prediction
- Reusable New Data Product Validation Functions
- Developing Artificial Primary Care Records
- Probabilistic Linkage Model
- MPS Documentation - the Person_ID handbook
SYNTHETIC DATA
- Process Mining on Patient Pathways in Healthcare
- Building the Foundations for a Generic Patient Simulator (SynPath)
- Creating a Generic Adversarial Attack for any Synthetic Dataset
- Building a Tool to Assess the Privacy Risk of Text Data
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Exploring how to create mock patient data (synthetic data) from real patient data
- Exploring how to create mock patient data (synthetic data) from real patient data
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- Synthetic Clinical Notes
- Applying our SynPath Simulator to a Diabetes Pathway
- Investigating Differential Privacy in a Variational AutoEncoder for Synthetic Data Generation
- Developing our SynthVAE code
- NHSSynth
- Developing Artificial Primary Care Records
- Synthetic Data Generation Pipeline
TEXT DATA
- Considerations for Building a Language Corpus with a Focus on the NHS
- How to Assess the Privacy of Unstructured Data
- Building a Tool to Assess the Privacy Risk of Text Data
- Clinical Measurement Extractor
- Data Lens
- Retrieval Augmented Generation
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- Synthetic Clinical Notes
- ePMA Auto-Coding
- Embedded Data Scientists in the National Disease Registration Service (NDRS)
- Text Analysis using Structural Topic Modelling
- Investigating Applying and Evaluating a Language Model to Patient Safety Data
- NHS.UK: Automatic Moderation of Ratings & Reviews
- Redbox Copilot
TIME SERIES
- Predicting GP Staff Turnover
- Predicting perinatal depression
- Process Mining on Patient Pathways in Healthcare
- Accident and Emergency (A&E) Forecasting Tool
- Ambulance Handover Delay Predictor
- Applying our SynPath Simulator to a Diabetes Pathway
- Investigating Differential Privacy in a Variational AutoEncoder for Synthetic Data Generation
- Developing our SynthVAE code
- Transforming Healthcare Data With Graph-Based Techniques
- Including Mortality in Hypergraphs for Multi-morbidity
- Developing Artificial Primary Care Records
UNSTRUCTURED DATA
- Considerations for Building a Language Corpus with a Focus on the NHS
- How to Assess the Privacy of Unstructured Data
- Building a Tool to Assess the Privacy Risk of Text Data
- CT Alignment and Lesion Detection
- Data Lens
- Retrieval Augmented Generation
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- AI Assurance Research Path
- Synthetic Clinical Notes
- Descriptive text from X-Ray Images (TxtRayAlign)
- Text Analysis using Structural Topic Modelling
- Investigating Superpixels in LIME for Explaining Predictions of Facial Images
- Adding a Clinical Focus to Evaluating Multi-Modal Data Representations
- Investigating Applying and Evaluating a Language Model to Patient Safety Data
- Enriching Clinical Coding for Neurology Pathways using MedCAT
- Parkinson's Disease Pathology Prediction
- NHS.UK: Automatic Moderation of Ratings & Reviews
VISUAL DATA
- Using deep learning to detect adrenal lesions in CT scans
- CT Alignment and Lesion Detection
- AI Assurance Research Path
- Descriptive text from X-Ray Images (TxtRayAlign)
- Investigating Superpixels in LIME for Explaining Predictions of Facial Images
- Adding a Clinical Focus to Evaluating Multi-Modal Data Representations
- Parkinson's Disease Pathology Prediction
WEBDEV
WIP
- Accident and Emergency (A&E) Forecasting Tool
- AI Ethics in Practice at NHS England
- Cancer high-risk cohorts
- Clinical Measurement Extractor
- Corporate Services: Pipeline Rebuild
- CVD Pathways
- AI Assurance Research Path
- Synthetic Clinical Notes
- ePMA Auto-Coding
- Emerging Privacy Enhancing Technologies
- Probabilistic Linkage Model
- Data Linkage Community of Practice (DL CoP)
WORK IN PROGRESS
WORKFORCE
- Predicting GP Staff Turnover
- AI Deep Dive Workshops
- AI Dictionary
- Examining whether recruitment data can, and should, be used to train AI models for shortlisting interview candidates
- Data Lens
- NHS Reproducible Analytical Pipelines (RAP) Champion Squad
- Building a Tool to Assess the Privacy Risk of Text Data - Extended
- Predicting negligence claims with NHS Resolution
- Nursing Placement Schedule Optimisation Tool
- Text Analysis using Structural Topic Modelling
- NHS.UK: Automatic Moderation of Ratings & Reviews
- Redbox Copilot
- Reusable New Data Product Validation Functions