Foundational Considerations for Artificial Intelligence Using Ophthalmic Images.

Importance: The development of artificial intelligence (AI) and other machine diagnostic systems, also known as software as a medical device, and its recent introduction into clinical practice requires a deeply rooted foundation in bioethics for consideration by regulatory agencies and other stakeholders around the globe.

Objectives: To initiate a dialogue on the issues to consider when developing a bioethically sound foundation for AI in medicine, based on images of eye structures, for discussion with all stakeholders.

Evidence Review: The scope of the issues and summaries of the discussions under consideration by the Foundational Principles of Ophthalmic Imaging and Algorithmic Interpretation Working Group, as first presented during the Collaborative Community on Ophthalmic Imaging inaugural meeting on September 7, 2020, and afterward in the working group.

The impact of digital technologies on point-of-care diagnostics in resource-limited settings.

Simple, rapid tests that can be used at the point-of-care (POC) can improve access to diagnostic services and overall patient management in resource-limited settings where laboratory infrastructure is limited. Implementation of POC tests places tremendous strain on already fragile health systems as the demand for training, supply management and quality assurance are amplified. Digital health has a major role to play in ensuring effective delivery and management of POC testing services.

Data connectivity: A critical tool for external quality assessment.

Point-of-care (POC) tests have been useful in increasing access to testing and treatment monitoring for HIV. Decentralising testing from laboratories to hundreds of sites around a country presents tremendous challenges in training and quality assurance. In order to address these concerns, companies are now either embedding connectivity in their new POC diagnostic instruments or providing some form of channel for electronic result exchange.

Production and characterization of monoclonal anti-sphingosine-1-phosphate antibodies.

Sphingosine-1-phosphate (S1P) is a pleiotropic bioactive lipid involved in multiple physiological processes. Importantly, dysregulated S1P levels are associated with several pathologies, including cardiovascular and inflammatory diseases and cancer. This report describes the successful production and characterization of a murine monoclonal antibody, LT1002, directed against S1P, using novel immunization and screening methods applied to bioactive lipids.