Artificial intelligence for diabetes care: current and future prospects

被引：17

作者：

Sheng, Bin ^{[1
,2
]}

Pushpanathan, Krithi ^{[3
,4
]}

Guan, Zhouyu ^{[1
]}

Lim, Quan Hziung ^{[9
]}

Lim, Zhi Wei ^{[4
]}

Yew, Samantha Min Er ^{[3
,4
]}

Goh, Jocelyn Hui Lin ^{[13
]}

Bee, Yong Mong ^{[10
,11
]}

Sabanayagam, Charumathi ^{[12
,13
]}

Sevdalis, Nick ^{[5
]}

Lim, Cynthia Ciwei ^{[8
]}

Lim, Chwee Teck ^{[6
,7
,8
]}

Shaw, Jonathan ^{[14
]}

Jia, Weiping ^{[1
]}

Ekinci, Elif Ilhan ^{[15
,16
,17
]}

Simo, Rafael ^{[18
,19
,20
]}

Lim, Lee-Ling ^{[9
,21
,22
]}

Li, Huating ^{[1
]}

Tham, Yih-Chung ^{[3
,4
,12
,13
]}

机构：

[1] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6,Sch Med, Shanghai Diabet Inst,Dept Comp Sci & Engn,Sch Elec, Shanghai Clin Ctr Diabet,Shanghai Belt & Rd Int Jo, Shanghai 200233, Peoples R China

[2] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Key Lab Artificial Intelligence, Minist Educ, Shanghai, Peoples R China

[3] Natl Univ Singapore, Ctr Innovat & Precis Eye Hlth, Dept Ophthalmol, Singapore, Singapore

[4] Natl Univ Singapore, Yong Loo Lin Sch Med, Singapore 117549, Singapore

[5] Natl Univ Singapore, Ctr Behav & Implementat Sci Intervent, Singapore, Singapore

[6] Natl Univ Singapore, Dept Biomed Engn, Singapore, Singapore

[7] Natl Univ Singapore, Inst Hlth Innovat & Technol, Singapore, Singapore

[8] Natl Univ Singapore, Mechanobiol Inst, Singapore, Singapore

[9] Univ Malaya, Fac Med, Dept Med, Kuala Lumpur, Malaysia

[10] Singapore Gen Hosp, Dept Endocrinol, Singapore, Singapore

[11] SingHealth Duke Natl Univ, Singapore Hlth Serv, Singapore Diabet Ctr, Singapore, Singapore

[12] Duke Natl Univ Singapore, Ophthalmol & Visual Sci Acad Clin Program, Med Sch, Singapore, Singapore

[13] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore

[14] Baker Heart & Diabet Inst, Melbourne, Vic, Australia

[15] Univ Melbourne, Australian Ctr Accelerating Diabet Innovat, Melbourne Med Sch, Melbourne, Vic, Australia

[16] Univ Melbourne, Dept Med, Melbourne, Vic, Australia

[17] Austin Hlth, Dept Endocrinol, Melbourne, Vic, Australia

[18] Vall dHebron Univ Hosp, Diabet & Metab Res Unit, Barcelona, Spain

[19] Vall dHebron Res Inst, Barcelona, Spain

[20] Inst Salud Carlos III, Ctr Invest Biomed Red Diabet & Enfermedades Metab, Madrid, Spain

[21] Chinese Univ Hong Kong, Dept Med & Therapeut, Hong Kong, Peoples R China

[22] Asia Diabet Fdn, Hong Kong, Peoples R China

来源：

LANCET DIABETES & ENDOCRINOLOGY | 2024年 / 12卷 / 08期

基金：

中国国家自然科学基金;

关键词：

DEEP LEARNING ALGORITHM; LIFE-STYLE INTERVENTION; INDIVIDUALIZED PREDICTION; INSULIN INJECTIONS; GLYCEMIC CONTROL; KIDNEY-DISEASE; FOLLOW-UP; RETINOPATHY; ADULTS; VALIDATION;

D O I：

10.1016/S2213-8587(24)00154-2

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care for people with diabetes and adapt treatments for complex presentations. However, the rapid advancement of AI also introduces challenges such as potential biases, ethical considerations, and implementation challenges in ensuring that its deployment is equitable. Ensuring inclusive and ethical developments of AI technology can empower both healthcare providers and people with diabetes in managing the condition. In this Review, we explore and summarise the current and future prospects of AI across the diabetes care continuum, from enhancing screening and diagnosis to optimising treatment and predicting and managing complications.

引用

页码：569 / 595

页数：27

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