Work

Recent advances in artificial intelligence-assisted endocrinology and diabetes

Year: 2023

Type: article

Abstract: Artificial intelligence (AI) has gained attention for various reasons in recent years, surrounded by speculation, concerns, and expectations. Despite being developed since 1960, its widespread application took several decades due to limited computing power. Today, engineers continually improve system capabilities, enabling AI to handle more complex tasks. Fields like diagnostics and biology benefit from AI’s expansion, as the data they deal with requires sophisticated analysis beyond human capacity. This review showcases AI’s integration in endocrinology, covering molecular to phenotypic patient data. These examples demonstrate AI’s potential and power in research and medicine.

DOI: 10.37349/eemd.2023.00004

Authors: Ioannis T. Oikonomakos, Ranjit M. Anjana, Viswanathan Mohan, Charlotte Steenblock, Stefan R. Bornstein

Institutions: University Hospital Carl Gustav Carus, Technische Universität Dresden, Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, King's College London

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Funder: Deutsche Forschungsgemeinschaft

Awards: TRR 205: Die Nebenniere: Zentrales Relais in Gesundheit und Krankheit, GRK 2251: Immunologische und zellbasierte Strategien bei metabolischen Erkrankungen