Target Product Profile for a Machine Learning-Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study.

Background: Diabetic eye screening (DES) represents a significant opportunity for the application of machine learning (ML) technologies, which may improve clinical and service outcomes. However, successful integration of ML into DES requires careful product development, evaluation, and implementation. Target product profiles (TPPs) summarize the requirements necessary for successful implementation so these can guide product development and evaluation.

Increasing survival of hepatocellular carcinoma patients in Scotland: a review of national cancer registry data.

Objectives: This study describes changes in the survival of patients with hepatocellular carcinoma (HCC) registered with the Scottish Cancer Registry between 1985 and 2008.

Methods: Data on patients diagnosed with HCC were extracted from the Scottish Cancer Registry, along with linked data on treatment and risk factors for liver disease. One-, 3- and 5-year relative survival rates were calculated for each time period and a Cox regression model was used to assess the impact of prior admissions on survival.

The rising tide of liver Cirrhosis mortality in the UK: can its halt be predicted?

Aim: To explore whether it is possible to predict future United Kingdom (UK) death rate of liver cirrhosis based on birth cohort models.

Method: Routinely available mortality data were plotted graphically to display the trends in cirrhosis mortality by birth cohort in several countries. Data for Italy, France, Portugal, USA, Canada, Scotland and England & Wales were plotted by birth cohort.