Artificial intelligence in type 1 diabetes mellitus

Type I diabetes is an autoimmune disease in the course of which insulin levels are reduced and hyperglycemia occurs. Treatment options for type I diabetes have changed a lot over time. A large contribution to advances in the field of diabetes treatment has been made by artificial intelligence. Originally, the treatment consisted of multiple finger punctures per day and multiple insulin injections. But now, thanks to artificial intelligence technology, a number of solutions are available including continuous glucose monitors and, based on these, a decision support system. This makes it possible to reduce the number of finger pricks and the frequency of insulin administration. Above that, it makes it possible to tailor the treatment process to the patient, prepare personalized recommendations and respond quickly to changes in serum glucose levels.

Authors

Institutions

Publication Details

Journal
Journal of Education Health and Sport
Published
2025-03-02
DOI
https://doi.org/10.12775/jehs.2025.79.57913
Citations
1
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence in type 1 diabetes mellitus

Mateusz Matczak, Jan Szwech, Karol Jasiński, Aleksandra Broda et al.
1 citations
Journal of Education Health and Sport
Diabetes Management and Research
1.29
article

Artificial intelligence in type 1 diabetes mellitus

Mateusz Matczak, Jan Szwech, Karol Jasiński, Aleksandra Broda, Kacper Hoksa, Krzysztof Jodłowski, Ewa Dubniewicz, Paula Majewska, Alicja Staszek, Wiktoria Łoskot
article en
1 citations

Abstract

Type I diabetes is an autoimmune disease in the course of which insulin levels are reduced and hyperglycemia occurs. Treatment options for type I diabetes have changed a lot over time. A large contribution to advances in the field of diabetes treatment has been made by artificial intelligence. Originally, the treatment consisted of multiple finger punctures per day and multiple insulin injections. But now, thanks to artificial intelligence technology, a number of solutions are available including continuous glucose monitors and, based on these, a decision support system. This makes it possible to reduce the number of finger pricks and the frequency of insulin administration. Above that, it makes it possible to tailor the treatment process to the patient, prepare personalized recommendations and respond quickly to changes in serum glucose levels.

Journal of Education Health and SportVol. 79
Akademia Tarnowska (PL), Uniwersytecki Szpital Kliniczny w Opolu (PL), Medical University of Lodz (PL), Ministry of Interior and Administration (PL), Central Clinical Hospital (PL)
Openalex Percentile: Top 22%
Diabetes Management and Research
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial intelligence in type 1 diabetes mellitus — Mateusz Matczak, Jan Szwech, et al. · Journal of Education Health and Sport (2025) | TGRS Research Map | TGRS