Jiri Fajtl

City St. George's University Of London, U.K
London, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 12 publications

Head-to-Head Comparative Evaluation of Four Commercially Available Artificial Intelligence Systems for Detecting Referable Diabetic Retinopathy in a Tanzanian Population.

Head-to-Head Comparative Evaluation of Four Commercially Available Artificial Intelligence Systems for Detecting Referable Diabetic Retinopathy in a Tanzanian Population.

Journal: Diabetes care

Published: March 11, 2026

Cohort Profile: The North East London Diabetes Study (NELDS).

Cohort Profile: The North East London Diabetes Study (NELDS).

Journal: International journal of epidemiology

Published: October 24, 2025

Development of a target product profile for artificial intelligence in diabetic eye screening in England: a modified Delphi consensus study.

Development of a target product profile for artificial intelligence in diabetic eye screening in England: a modified Delphi consensus study.

Journal: The Lancet. Digital health

Published: June 12, 2025

What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease?

What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease?

Journal: Diabetic medicine : a journal of the British Diabetic Association

Published: June 05, 2025

Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme.

Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme.

Journal: Diabetes research and clinical practice

Published: November 27, 2024

A simple score-based strategy to improve equity of the UK biennial diabetic eye screening protocol among people deemed as low risk.

A simple score-based strategy to improve equity of the UK biennial diabetic eye screening protocol among people deemed as low risk.

Journal: Diabetologia

Published: September 17, 2024

Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England.

Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England.

Journal: The Lancet. Digital health

Published: August 16, 2024

Generating evidence to support the role of AI in diabetic eye screening: considerations from the UK National Screening Committee.

Generating evidence to support the role of AI in diabetic eye screening: considerations from the UK National Screening Committee.

Journal: The Lancet. Digital health

Published: February 12, 2024

What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary care screening setting.

What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary care screening setting.

Journal: BMJ open

Published: November 15, 2023

Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population-based retrospective cohort study.

Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population-based retrospective cohort study.

Journal: BMJ open diabetes research & care

Published: August 09, 2023

Two-year recall for people with no diabetic retinopathy: a multi-ethnic population-based retrospective cohort study using real-world data to quantify the effect.

Two-year recall for people with no diabetic retinopathy: a multi-ethnic population-based retrospective cohort study using real-world data to quantify the effect.

Journal: The British journal of ophthalmology

Published: June 14, 2023

Improving Dataset Volumes and Model Accuracy with Semi-Supervised Iterative Self-Learning.

Improving Dataset Volumes and Model Accuracy with Semi-Supervised Iterative Self-Learning.

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Published: May 07, 2019

Showing 1-12 of 12

Last Updated: 09/26/2026