Abo-Elghiet F, Ahmed AH, Aly HF, Younis EA, Rabeh MA, Alshehri SA, Alshahrani KSA, Mohamed SA (2023) D-Pinitol content and antioxidant and antidiabetic activities of five Bougainvillea spectabilis willd. Cultivars Pharmaceuticals (Basel) 16(7):1008. https://doi.org/10.3390/ph16071008

Article  CAS  PubMed  Google Scholar 

Jaacks LM, Siegel KR, Gujral UP, Narayan KM (2016) Type 2 diabetes: A 21st century epidemic. Best Pract Res Clin Endocrinol Metab 30(3):331–343. https://doi.org/10.1016/j.beem.2016.05.003

Article  PubMed  Google Scholar 

Katey D, Addo AA, Abass K, Morgan AK (2022) Prevalence study of type 2 diabetes mellitus in the Ashanti region of Ghana: a systematic review of risk factors. J Endocrinol Metabolism Diabetes South Afr 27(3):93–99

Article  Google Scholar 

Ong KL, Stafford LK, McLaughlin SA, Boyko EJ, Vollset SE, Smith AE, Dalton BE, Duprey J, Cruz JA, Hagins H, Lindstedt PA (2023) Global, regional, and National burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the global burden of disease study 2021. Lancet 402(10397):203–234

Article  Google Scholar 

Tan Y, Cheong MS, Cheang WS (2022) Roles of reactive oxygen species in vascular complications of diabetes: therapeutic properties of medicinal plants and food. Oxygen 2(3):246–268. https://doi.org/10.3390/oxygen2030018

Article  CAS  Google Scholar 

Shi F, Wang J, Govindaraj V (2024) SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 diagnosis. Mob Networks Appl 1–14. https://doi.org/10.1007/s11036-023-02288-3

Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, Aldairem A, Alrashed M, Bin Saleh K, Badreldin HA, Al Yami MS (2023) Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ 23(1):689. https://doi.org/10.1186/s12909-023-04698-z

Article  PubMed  PubMed Central  Google Scholar 

Wang JJ (2022) The power of AI-Assisted diagnosis. EAI Endorsed Trans e-Learning 8(4). https://doi.org/10.4108/eetel.3772

Bajwa J, Munir U, Nori A, Williams B (2021) Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J 8(2):188–194. https://doi.org/10.7861/fhj.2021-0095

Article  Google Scholar 

Soferman R (2019) The transformative impact of artificial intelligence on healthcare outcomes. J Clin Eng 44(3):1–3. https://doi.org/10.1097/jce.0000000000000345

Article  Google Scholar 

Lee D, Yoon SN (2021) Application of artificial intelligence-based technologies in the healthcare industry: opportunities and challenges. Int J Environ Res Public Health 18(1):271. https://doi.org/10.3390/ijerph18010271

Article  PubMed  PubMed Central  Google Scholar 

Sharma A, Dixit S, Gupta S (2024) Future of diabetic management using artificial intelligence. Artificial Intelligence in Healthcare 104–127. CRC Press

Larsen TJ, Pettersen MB, Nygaard Jensen H, Lynge Pedersen M, Lund-Andersen H, Jørgensen ME, Byberg S (2024) The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population. Int J Circumpolar Health 83(1):2314802

Article  PubMed  PubMed Central  Google Scholar 

Liu TA, Huang J, Channa R, Wolf R, Dong Y, Liang M, Wang J, Abramoff M (2024) Autonomous artificial intelligence increases access and health equity in underserved populations with diabetes. Res Sq, 3

Anjum M, Saher R, Saeed MN (2024) Optimizing type 2 diabetes management: AI-enhanced time series analysis of continuous glucose monitoring data for personalized dietary intervention. PeerJ Comput Sci 10:1971

Article  Google Scholar 

Dhankhar S, Garg N, Chauhan S, Saini M (2024) Role of artificial intelligence in diabetic wound screening and early detection. Curr Biotechnol 13(2):93–106

Article  CAS  Google Scholar 

Ahmed A, Aziz S, Qidwai U, Abd-Alrazaq A, Sheikh J (2023) Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data. Comput Methods Biomed Update 3:100094

Google Scholar 

Norgeot B, Tesei G, Jankovic I, Giampanis S, Shi J, Wang D, Kale R (2023) Using nationwide health records to address care gaps in diabetes and prediabetes diagnosis through AI assisted Large-Scale prioritized outreach for hemoglobin A1c screening

Jia W, Fisher EB (2023) Application and prospect of artificial intellingence in diabetes care. Med Rev 3(1):102–104

Article  Google Scholar 

Liang X, Miao Z, Lu S, Ye M, Wang J, Zhao H, Xiao C, Shuai M, Gou W, Liang Y, Xu F (2023) Integration of multiomics with precision nutrition for gestational diabetes. study protocol for the Westlake Precision Birth Cohort

Johansson Å, Andreassen OA, Brunak S, Franks PW, Hedman H, Loos RJ, Meder B, Melén E, Wheelock CE, Jacobsson B (2023) Precision medicine in complex diseases—Molecular subgrouping for improved prediction and treatment stratification. J Intern Med 294(4):378–396

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mohsen F, Al-Absi HR, Yousri NA, Hajj NE, Shah Z (2023) Artificial intelligence-based methods for precision medicine: Diabetes risk prediction. arXiv preprint arXiv:2305.16346

Mehta V (2023) Artificial intelligence in medicine: revolutionizing healthcare for improved patient outcomes. J Med Res Innov 7(2):e000292–e000292

Article  Google Scholar 

Mohanaprakash TA, Selvakumaran S, Vinothini A, Nalinipriya G, Therasa M, Suresh PM (2023) Enhancing Diabetes Detection through a Hybrid AI Model Utilizing Wearable Technology. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), (pp. 1–5). IEEE

Huang YJ, Chen CH, Yang HC (2024) AI-enhanced integration of genetic and medical imaging data for risk assessment of type 2 diabetes. Nat Commun 15(1):4230

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhuhadar LP, Lytras MD (2023) The application of automl techniques in diabetes diagnosis: current approaches, performance, and future directions. Sustainability 15(18):13484

Article  CAS  Google Scholar 

Deepa R, Sivasamy A (2023) Advancements in early detection of diabetes and diabetic retinopathy screening using artificial intelligence. AIP Adv 13(11)

Long CK, Puri V, Solanki VK, Aponte GJR (2023) An explainable AI-enabled framework for the diabetes classification. In 2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) (pp. 1–6). IEEE

Shukur BS, Yaacob NM, Doheir M (2023) Diabetes at a glance: assessing AI strategies for early diabetes detection and intervention. Mesopotamian J Artif Intell Healthc 2023:85–89

Roy MM, Jamwal M (2021) The Advent of Artificial Intelligence in Diabetes Diagnosis: Current Practices and building blocks for future prospects. In Conference Proceedings of International Conference on Public Health and Well-being 2(2):1–18

Ahmad A, Mehfuz S (2022) Explainable AI-based early detection of diabetes for smart healthcare. In IET Conference Proceedings CP797 2022(1):150–54. Stevenage, UK: The Institution of Engineering and Technology

Kapse A, Semin M, Jha RK, Bawankar B, Patil P (2022) Artificial intelligence for diabetic care. J Datta Meghe Inst Med Sci Univ 17(2):487–490

Article  Google Scholar 

Demirkol D, Koçoğlu FÖ, Aktaş Ş, Erol Ç (2022) A bibliometric analysis of the relationship between diabetes and artificial intelligence. J Ist Fac Med 85(2):249–257

Google Scholar 

Hossin MA, Islam MS, Hassan SA, Ukwuoma CC, Nuri MMJ, Siddiquee MTA (2022) Artificial Intelligence: A Promising Prospect for Better Management of Diabetic Patients. In 2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD) 470–474. IEEE

Patil AR, Ingole AM (2022) Techniques for diabetes care using artificial intelligence and machine learning: A review. Asian J Comput Sci Technol 11(1):35–39

Article  Google Scholar 

Abdelhalim H, Berber A, Lodi M, Jain R, Nair A, Pappu A, Patel K, Venkat V, Venkatesan C, Wable R, Dinatale M (2022) Artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine. Front Genet 13:929736

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gosak L, Martinović K, Lorber M, Stiglic G (2022) Artificial intelligence-based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature. J Nurs Manag 30(8):3765–3776

Article  PubMed  PubMed Central  Google Scholar 

Tuppad A, Patil SD (2022) Machine learning for diabetes clinical decision support: a review. Adv Comput Intell 2(2):22

Article  PubMed  PubMed Central  Google Scholar 

Tusié-Luna MT, Aguilar-Salinas CA (2021) PRECISION medicine for metabolic disorders in low-and middle-income countries: areas of opportunity and challenges for the future. Revista De Investigación Clínica 73(5):316–320

PubMed  Google Scholar 

Gautier T, Ziegler LB, Gerber MS, Campos-Náñez E, Patek SD (2021) Artificial intelligence and diabetes technology: A review. Metabolism 124:154872

Article  CAS  PubMed  Google Scholar 

Dave M, Patel N (2023) Artificial intelligence in healthcare and education. Br Dent J 234(10):761–764

Article  PubMed  PubMed Central  Google Scholar 

Gurevich E, El Hassan B, El Morr C (2023) Equity within AI systems: what can health leaders expect? Healthcare management forum 36(2):119–24. Sage CA, Los Angeles, CA: SAGE Publications

Google Scholar 

Akinfenwa AO, Sagbo IJ, Makhaba M, Mabusela WT, Hussein AA (2022) Helichrysum genus and compound activities in the management of diabetes mellitus. Plants 11(10):1386

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chaudhary N, Tyagi N (2018) Diabetes mellitus: an overview. Int J Res Dev Pharm Life Sci 7(4):3030–3033

CAS  Google Scholar 

Coulibaly AY, Hashim R, Sombié PAED, Sulaiman SF, Sulaiman O, Ang IZP, OOI KL KM (2020) In vitro Anti-hyperglycemic and chelating potencial of selected aryuvedic medicinal plants. Indian J Pharm Sci 82(3):491–498

Article  CAS  Google Scholar 

Deshpande AD, Harris-Hayes M, Schootman M (2008) Epidemiology of diabetes and diabetes-related complications. Phys Ther 88(11):1254–1264

Article  PubMed  PubMed Central  Google Scholar