ISSN 1662-4009 (online)

ey0019.10-10 | Advances in clinical practice | ESPEYB19

10.10. Telemedicine and COVID-19 pandemic: the perfect storm to mark a change in diabetes care results from a world-wide cross-sectional web-based survey

E Giani , K Dovc , Santos TJ Dos , A Chobot , K Braune , R Cardona-Hernandez , Beaufort C De , A Scaramuzza

ISPAD Jenious Group. Pediatr Diabetes. 2021;22:1115-1119. https://pubmed.ncbi.nlm.nih.gov/34741569/Brief Summary: This cross-sectional survey describes healthcare professionalsÂ’ (HCPs) experiences of telemedicine use in diabetes centers across the world, along with the adaptations and challenges associated with its implementation.This is one out of several public...

ey0019.10-9 | Advances in clinical practice | ESPEYB19

10.9. Comparison of insulin dose adjustments made by artificial intelligence based decision support system and by physicians in people with type 1 diabetes using multiple daily injections therapy

R Nimri , A Tirosh , I Muller , Y Shtrit , I Kraljević , MM Alonso , T Milicic , B Saboo , A Deeb , A Christoforidis , Brinker M den , L Bozzetto , AM Bolla , M Krcma , RA Rabini , S Tabba , A Vazeou-Gerasimidi , G Maltoni , E Giani , I Dotan , IF Liberty , Y Toledano , O Kordonouri , N Bratina , K Dovc , T Biester , E Atlas , M Phillip

Diabetes Technol Ther. 2022;24:564-572. doi: https://pubmed.ncbi.nlm.nih.gov/35325567/Brief Summary: This physician survey-based study compared insulin dose recommendations between an artificial intelligence-based decision support system (ED-DSS) and 20 experienced physicians from 11 countries. Using data from 17 individuals with type 1 diabetes (T1D) treated with multiple daily insulin inj...