Article

Artificial Intelligence for the Diagnosis and Treatment of Diabetes Kidney Disease: a systematic review

2021-10-14

Abstract excerpt

<h4>Background</h4> Diabetic nephropathy (DN) is a serious microvascular complication that affects 40% of diabetes patients. In the last decade, artificial intelligence (AI) has been widely used in both structured and unstructured clinical data to improve the treatment of patients/potential patients with DN. <h4>Methods</h4> This systematic review aims to cover all applications of AI in the clinical use of DN or r...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5d65feb0-c215-5fe1-b835-e2bbc6de6590
DOI: 10.1101/2021.10.10.21264813

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Artificial Intelligence for the Diagnosis and Treatment of Diabetes Kidney Disease: a systematic reviewDOI 10.1101/2021.10.10.21264813Read

The role of artificial intelligence in the application of the integrated electronic health records and patient-generated health dataSemantic proximity Read

Artificial Intelligence for Chronic Kidney Disease Early Detection and PrognosisSemantic proximity Read

Exploring Machine Learning Algorithms-Aid Diagnosis for Chronic Kidney DiseaseSemantic proximity Read

Guidelines and Standard Frameworks for Artificial Intelligence in Medicine: A Systematic ReviewSemantic proximity Read

Applications of Artificial Intelligence (AI) in healthcare: A reviewSemantic proximity Read

Rise of the Machines: The Inevitable Evolution of Medicine and Medical Laboratories Intertwining with Artificial Intelligence - A Narrative ReviewSemantic proximity Read

Design and Evaluation of AI-Powered Framework for Improving Data Quality in Disease and Health Outcome Registries: Study Protocol For A Mixed-Methods StudySemantic proximity Read

Is artificial intelligence for medical professionals serving the patients? Protocol for a mixed method systematic review on patient-relevant benefits and harms of algorithmic decision-making.Semantic proximity Read

A Systematic Review of Hybrid Intelligent Models for Early Detection of Diabetes Using Electronic Health RecordsSemantic proximity Read

A Retrospective Study of the Role of Artificial Intelligence in Healthcare (Diagnosis and Treatment)Semantic proximity Read

Adoption of Artificial Intelligence in the Ugandan Health Sector: a review of LiteratureSemantic proximity Read

The integration of Artificial Intelligence into the diagnosis and treatment of diseases Current advances and future perspectives in Medicine and Medical Engineering.Semantic proximity Read