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Aug. 07, 2024

June. 10, 2025

jRCT1022240017

Evaluation of the artificial intelligence (AI) for predicting optimized insulin dosage in diabetic patients

Evaluation of the artificial intelligence (AI) for predicting optimized insulin dosage in diabetic patients

Oct. 24, 2024

130

No

https://jrct.mhlw.go.jp/latest-detail/jRCT1022240017

Katagiri Hideki

Tohoku University Graduate School of Medicine

2-1, Seiryo-machi, Aoba-ku, Sendai

+81-22-717-7611

katagiri@med.tohoku.ac.jp

Takahashi Kei

Tohoku University Graduate School of Medicine

2-1, Seiryo-machi, Aoba-ku, Sendai

+81-22-717-7611

kei.takahashi.b4@tohoku.ac.jp

Complete

Aug. 07, 2024

130

Observational

non-randomized controlled trial

open(masking not used)

uncontrolled control

single assignment

other

Clinical data of hospitalized type 2 diabetes patients who received insulin therapy from diabetologists will be collected, provided they meet all the following eligibility criteria and do not fall under any exclusion criteria.
Eligibility Criteria:
(1) Patients using ultra-rapid-acting insulin and long-acting insulin (insulin glargine, insulin degludec)
(2) Patients aged 20 years or older
(3) Patients who have provided written consent to participate in the study
(4) Patients with a hospital stay of 7 days or more

(1) Patients who are pregnant or may be pregnant
(2) Patients with or suspected of having diabetic gastroparesis
(3) Patients with severe diabetic autonomic neuropathy
(4) Patients with pre-proliferative diabetic retinopathy or proliferative diabetic retinopathy, or suspected of having these conditions
(5) Patients undergoing continuous subcutaneous insulin infusion therapy or continuous intravenous insulin infusion
(6) Patients who have not been discharged since undergoing general anesthesia surgery
(7) Patients with missing data in the specified input data without any reason such as tests
(8) Patients whose primary purpose is not blood glucose control
(9) For cases from Tohoku University Hospital, data from hospitalizations before 2021 (as these data may have been used for the training of the experimental device)

20age old over
No limit

Both

Type 2 Diabetes

D003924

Correct rate: Rate when the difference between the test device and the units prescribed by diabetologists is within the acceptable range.

Renascience Inc.
AMED
Not applicable
Renascience Inc.
Not applicable
Ethics Committee of Tohoku University Graduate School of Medicine
2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi
Approval

Aug. 01, 2024

none

History of Changes

No Publication date
2 June. 10, 2025 (this page) Changes
1 Aug. 07, 2024 Detail