Recent advances in artificial intelligence-assisted endocrinology and diabetes-Reference-Cited by-同舟云学术

Recent advances in artificial intelligence-assisted endocrinology and diabetes

Published:2023-11-23 Issue:1 Volume:1 Page:16-26
ISSN:
Container-title:Exploration of Endocrine and Metabolic Disease
language:
Short-container-title:Explor Endocr Metab Dis

Author:

Oikonomakos Ioannis T.¹^ORCID,Anjana Ranjit M.²^ORCID,Mohan Viswanathan²^ORCID,Steenblock Charlotte¹^ORCID,Bornstein Stefan R.³^ORCID

Affiliation:

1. Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany

2. Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai 600086, Tamil Nadu, India

3. Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany; School of Cardiovascular and Metabolic Medicine and Sciences, Faculty of Life Sciences & Medicine, King’s College London, WC2R 2LS London, UK

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.

Publisher

Open Exploration Publishing

Subject

General Medicine,General Earth and Planetary Sciences,General Environmental Science,General Medicine,Ocean Engineering,General Medicine,General Medicine,General Medicine,General Medicine,General Earth and Planetary Sciences,General Environmental Science,General Medicine

Reference61 articles.

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