Search by Journal
- HOME
- > Search by Journal
- > Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification
Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification
Volume 4, Issue / 2026
English Article 
Japanese Article- Please note that metadata of J-type articlesare generated by machine-translation and the original texts are written in Japanese.
|
Foreword 花房規男 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 2026. |
|---|
|
|
AI basic knowledge for studies 濱田浩幸1, 友雅司2, 金成泰3,4, 山下明泰5 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 1-2, 2026. |
|---|
|
|
Clinical application and the prospects of the artificial intelligence in the kidney hemocatharsis domain and the large-scale language model 神田英一郎 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 3-5, 2026. |
|---|
|
|
Use of the generation AI depending on a use in the dialysis medical care 岩藤和広1, 吉田智史1, 和泉一樹2, 陣内彦博2 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 7-8, 2026. |
|---|
|
|
Future image of the dialysis medical care by AI/DX 森實篤司 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 9-10, 2026. |
|---|
|
|
Application to the haemodialysis management of the open source machine learning library 井上貴博, 平野一, 町村哲郎, 宗像優, 森友実, 花房規男 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 11-12, 2026. |
|---|
|
|
Attempt of the machine learning model construction utilizing the AI assistant support by the abecedarian 木谷博之1, 中村健一1, 昌木秀介1, 栗栖啓子2, 烏田一義4, 藤野早知栄3, 内藤隆之3, 西澤欣子5 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 13-16, 2026. |
|---|
|
|
Construction of the machine learning model predicting prognosis from clinical information at vascular access manufacture for one year 松岡佑季, 末光浩太郎 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 17-18, 2026. |
|---|
|
|
Development of the dialysis low blood pressure predictive model that we can interpret using feature engineering 二宮大地1, 久保田志織2,3, 中村俊平2, 正木崇生3 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 19-21, 2026. |
|---|
|
|
It is the construction of the predictive model of the potassium level and clinical intervention after the dialysis 田部井陸斗1, 酒井利奈1, 小久保謙一1, 長沼俊秀3, 新健太郎2, 小林こず恵1, 吉田和弘1, 久保田勝1, 内田潤次3, 氏平政伸1 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 23-25, 2026. |
|---|
|
|
Attempt of the death event prediction of patients on dialysis using Deep Learning 福士謙1, 尹重浩1, 川口俊明1, 北川柾彦1, 吉田孝博2, 畠山真吾3 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 27-29, 2026. |
|---|
|
|
A knowledge base plan and the prospects to the hemocatharsis domain that - GrammarXiv suggests from tacit knowledge to meeting intellect 遠藤陶子 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 31-33, 2026. |
|---|
|
|
Information Becoming Unreadable After 100 Years, or Even After Only a Few Years? - "End-of-Life Softwares" as a Risk of Abrupt and Eternal Loss of Information Retrieval - 田中宏志 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 35-36, 2026. |
|---|
|
|
Examination of the Hb cycling inhibition by the feedback inhibition simulation 土井瞭1, 土井俊樹2,3, 森井健一2,3, 西澤欣子2, 正木崇生3 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 37-38, 2026. |
|---|
|
|
Practice and evaluation of the generation AI utilization in the multi-type of job cooperation education about patients on dialysis 川合真子1, 野口佑太2, 八重徹司3, 吉子健一4 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 39-41, 2026. |
|---|
|
|
Evaluation (the second report) of dialysis shunts stenosis using the wireless small device 菊池達也1, 小泉美香子1, 片桐大輔1, 横山太郎2, 大谷良介3, 峯啓真3, 高野恭行4, 高野秀樹1 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 43-44, 2026. |
|---|
|
|
Construction of the risk model predicting the early internal shunt imperfection of haemodialysis patients 大久保愛子1, 森井健一1,2, 土井俊樹1,2, 西澤欣子2, 山下和臣2, 正木崇生1 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 45-47, 2026. |
|---|
|
|
Development of the α1-MG extraction coefficient predictive model using the ensemble learning 西田英樹1, 森石みさき1, 高橋直子2, 河端宏幸1, 真島菜々子1, 土谷晋一郎1 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 49-50, 2026. |
|---|
|
|
Proteinuria remission prediction after palatine tonsil enucleation for the IgA nephropathy using the machine learning and the steroid pulse therapy 久保田志織1,2, 二宮大地2, 前岡侑二郎1, 佐々木健介1, 正木崇生1 Journal of Japanese Society for Artificial Intelligence in Nephrology and Blood Purification 4: 51-52, 2026. |
|---|
