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Oct. 09, 2024 |
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Nov. 08, 2024 |
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jRCT1022240032 |
Evaluation of artificial inteligence for predicting total water removal volume in maintenance hemodialysis patients (Evaluation of artificial inteligence (AI) for predicting total water removal volume in maintenance hemodialysis patients) |
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Evaluation of artificial inteligence for predicting total water removal volume in maintenance hemodialysis patients (Evaluation of artificial inteligence for predicting total water removal volume in maintenance hemodialysis patients) |
Tanaka Tetsuhiro |
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Tohoku University Graduate School of Medicine |
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1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574 |
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+81-22-717-7163 |
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tetsuhiro.tanaka.d3@tohoku.ac.jp |
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Ishibashi Tadashi |
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Hiroshima University Hospital |
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1-2-3, Kasumi, Minami-ku, Hiroshima, Hiroshima 734-8551 |
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+81-82-257-5555 |
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tishiba@hiroshima-u.ac.jp |
Recruiting |
Oct. 09, 2024 |
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| 150 | ||
Observational |
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randomized controlled trial |
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open(masking not used) |
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uncontrolled control |
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single assignment |
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other |
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(1) Patients with chronic renal failure undergoing maintenance hemodialysis by a dialysis specialist as an outpatient 3 days a week |
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(1) Pregnant or possibly pregnant patients |
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| 20age old over | ||
| No limit | ||
Both |
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Chronic renal faiture |
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The accucacy rate: The correct answer was determined if the difference between the total amount of water removed by the test device and the target amount of water removed prescribed by the specialist was 12% or less of the amount of water removed set by the doctor (however, the maximum was 300 mL). The percentage of times the test device gave a correct answer was defined as the accuracy rate. |
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| Renascience Inc. |
| AMED | |
| Not applicable |
| Ethics Committee of Tohoku University Graduate School of Medicine | |
| 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Miyagi | |
+81-22-728-4105 |
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| ec_med@rinri.hosp.tohoku.ac.jp | |
| Approval | |
Oct. 02, 2024 |
No |
none |