Journal of Peking University (Health Sciences) ›› 2023, Vol. 55 ›› Issue (5): 771-774. doi: 10.19723/j.issn.1671-167X.2023.05.001
克新 许*(
),泽华 丁
CLC Number:
- R69
| 1 |
KaulV , EnslinS , GrossSA .History of artificial intelligence in medicine[J].Gastrointest Endosc,2020,92(4):807-812.
doi: 10.1016/j.gie.2020.06.040 |
| 2 |
JiangF , JiangY , ZhiH ,et al.Artificial intelligence in healthcare: Past, present and future[J].Stroke Vasc Neurol,2017,2(4):230-243.
doi: 10.1136/svn-2017-000101 |
| 3 |
KheneZE , RichardC , HascoetJ ,et al.Contrast-enhanced CT texture parameters as predictive markers of high-risk urodynamic features in adult patients with Spina bifida[J].Urology,2019,134,84-89.
doi: 10.1016/j.urology.2019.09.023 |
| 4 |
KarmonikC , BooneT , KhavariR .Data-driven machine-learning quantifies differences in the voiding initiation network in neurogenic voiding dysfunction in women with multiple sclerosis[J].Int Neurourol J,2019,23(3):195-204.
doi: 10.5213/inj.1938058.029 |
| 5 | NekooeimehrI , Lai-YuenS , BaoP ,et al.Automated contour tracking and trajectory classification of pelvic organs on dynamic MRI[J].J Med Imaging (Bellingham),2018,5(1):014008. |
| 6 |
FengF , Ashton-MillerJA , DeLanceyJOL ,et al.Convolutional neural network: Based pelvic floor structure segmentation using magnetic resonance imaging in pelvic organ prolapse[J].Med Phys,2020,47(9):4281-4293.
doi: 10.1002/mp.14377 |
| 7 |
ColarietiA , ThiruchelvamN , BarrettT .Evaluation of image-based prognostic parameters of post-prostatectomy urinary incontinence: A literature review[J].Int J Urol,2021,28(9):890-897.
doi: 10.1111/iju.14609 |
| 8 |
ShaoIH , KanHC , ChenHY ,et al.Recognition of postoperative cystography features by artificial intelligence to predict recovery from postprosta-tectomy urinary incontinence: A rapid and easy way to predict functional outcome[J].J Pers Med,2023,13(1):126.
doi: 10.3390/jpm13010126 |
| 9 |
SumitomoM , TeramotoA , TodaR ,et al.Deep learning using preoperative magnetic resonance imaging information to predict early recovery of urinary continence after robot-assisted radical prostatectomy[J].Int J Urol,2020,27(10):922-928.
doi: 10.1111/iju.14325 |
| 10 | ThimanssonE , BengtssonJ , BaubetaE ,et al.Publisher correction: Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI[J].Eur Radiol,2023,33(4):3004. |
| 11 |
RosierPFWM , SchaeferW , LoseG ,et al.International continence society good urodynamic practices and terms 2016: Urodynamics, uroflow-metry, cystometry, and pressure-flow study[J].Neurourol Urodyn,2017,36(5):1243-1260.
doi: 10.1002/nau.23124 |
| 12 | AbramsP .Describing bladder storage function: Overactive bladder syndrome and detrusor overactivity[J].Urology,2003,62(5 Suppl 2):28-37. |
| 13 |
WangHS , CahillD , PanagidesJ ,et al.Pattern recognition algorithm to identify detrusor overactivity on urodynamics[J].Neurourol Urodyn,2021,40(1):428-434.
doi: 10.1002/nau.24578 |
| 14 |
CullingsworthZE , KellyBB , DeebelNA ,et al.Automated quantification of low amplitude rhythmic contractions (LARC) during real-world urodynamics identifies a potential detrusor overactivity subgroup[J].PLoS One,2018,13(8):e0201594.
doi: 10.1371/journal.pone.0201594 |
| 15 |
NiederhauserT , GafnerES , CantieniT ,et al.Detection and quantification of overactive bladder activity in patients: Can we make it better and automatic?[J].Neurourol Urodyn,2018,37(2):823-831.
doi: 10.1002/nau.23357 |
| 16 |
SheynD , JuM , ZhangS ,et al.Development and validation of a machine learning algorithm for predicting response to anticholinergic medications for overactive bladder syndrome[J].Obstet Gynecol,2019,134(5):946-957.
doi: 10.1097/AOG.0000000000003517 |
| 17 |
JinJ , ChungY , KimW ,et al.Classification of bladder emptying patterns by LSTM neural network trained using acoustic signatures[J].Sensors (Basel),2021,21(16):5328.
doi: 10.3390/s21165328 |
| 18 |
BangS , TukhtaevS , KoKJ ,et al.Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry[J].Investig Clin Urol,2022,63(3):301-308.
doi: 10.4111/icu.20210434 |
| 19 |
YamadaM , MatsukawaY , KameyaY ,et al.Development of an artificial intelligence diagnostic system for lower urinary tract dysfunction in men[J].Int J Urol,2021,28(11):1143-1148.
doi: 10.1111/iju.14661 |
| 20 |
BalkiI , AmirabadiA , LevmanJ ,et al.Sample-size determination methodologies for machine learning in medical imaging research: A systematic review[J].Can Assoc Radiol J,2019,70(4):344-353.
doi: 10.1016/j.carj.2019.06.002 |
| 21 |
HungAJ , JianC , GillIS .Automated performance metrics and machine learning algorithms to measure surgeon performance and anticipate clinical outcomes in robotic surgery[J].JAMA Surg,2018,153(8):770-771.
doi: 10.1001/jamasurg.2018.1512 |
| 22 | Aneeq Z, Andrew H, Irfan E, et al. Surgical activity recognition in robot-assisted radical prostatectomy using deep learning [C]// Frangi A, Schnabel J, Davatzikos C, et al. Medical image computing and computer assisted intervention: MICCAI. Switzerland: Springer, 2018: 273-280. |
| 23 |
ClemensJQ , EricksonDR , VarelaNP ,et al.Diagnosis and treatment of interstitial cystitis/bladder pain syndrome[J].J Urol,2022,208(1):34-42.
doi: 10.1097/JU.0000000000002756 |
| [1] | Wenyuan LENG, Duan GAO, Xiaoyu LI, Wei ZUO, Weimin HU, Zhenpeng ZHU, Chunru XU, Jian LIN, Xuesong LI. Comparison of efficacy and safety of oral mucosa grafts and acellular dermal matrix grafts in the treatment of long-segment urethral stricture [J]. Journal of Peking University (Health Sciences), 2025, 57(5): 975-979. |
| [2] | Yuanjie NIU, Zhongcheng XIN, Guiting LIN, Pan DING, Jiancheng PAN, Yuhong FENG, Yinglu GUO. Low-level laser therapy for the treatment of male infertility and erectile dysfunction [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 627-632. |
| [3] | Zonghan LI, Yangyue HUANG, Ning LI, Minglei LI, Hongcheng SONG, Weiping ZHANG, Chao LIU. Preliminary application of domestic single-port serpentine arm robotic surgical system in children's pyeloplasty [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 662-665. |
| [4] | Qiming ZHANG, Zebo CHEN, Yu TIAN, Dameng PAN, Lei LIU, Hongxian ZHANG, Lei ZHAO, Shudong ZHANG, Lulin MA, Xiaofei HOU. Experience summary of robot-assisted laparoscopic transplant nephrectomy [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 666-669. |
| [5] | Xiaoteng YU, Yixuan HUANG, Xinfei LI, Changfu CHEN, Fangzhou ZHAO, Honggang YING, Zihao TAO, Yiming ZHANG, Liqing XU, Zhihua LI, Kunlin YANG, Liqun ZHOU, Xuesong LI, Zheng ZHAO. Surgical techniques and clinical outcomes of upper urinary tract reconstruction for stone-related ureteral strictures [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 670-675. |
| [6] | Jinghui JI, Xiushi LIN, Dameng PAN, Zhiying WU, Zixuan XUE, Xiaojun TIAN, Shudong ZHANG, Binshuai WANG, Min QIU. Efficacy of rigid ureteroscopic laser lithotripsy combined with N-trap in the treatment of ureteral stones with a maximum diameter equal to or greater than 1.5 cm [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 676-683. |
| [7] | Chao ZUO, Guoli WANG, Kunlin YANG, Xinyan CHE, Yisen MENG, Kai ZHANG. Comparison of efficacy and safety of transurethral thulium fiber laser enucleation of prostate in patients with different prostate volumes [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 711-716. |
| [8] | Qi WANG, Hanwei KE, Zehua DING, Weiyu ZHANG, Xiaopeng ZHANG, Tao XU, Kexin XU. Effects of retropubic and obturator urethral suspension on postoperative maximum flow rate and residual urine volume [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 717-720. |
| [9] | Qianxi CHEN, Yan CHEN, Zhongjie ZHENG, Wenhao TANG, Zhen LIU, Kai HONG, Haocheng LIN. Sperm donation utilization rates in nonobstructive azoospermia patients under different testicular sperm retrieval methods during assisted reproductive technology cycles [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 721-726. |
| [10] | Shihao LIU, Liqing XU, Xinfei LI, Kunlin YANG, Zhaoying LI, Zibo ZHANG, Xiang WANG, Wei-xiao FU, Zhihua LI, Xuesong LI. Evaluation of the feasibility and safety of a Chinese developed modular surgical robotic system for robot-assisted pyeloplasty [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 779-783. |
| [11] | Huanrui WANG, Shicong LAI, Haopu HU, Zehua DING, Tao XU, Hao HU. Efficacy analysis of laparoscopy combined with flexible ureteroscope in the treatment of complex ureteral stricture [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 784-788. |
| [12] | Wanwei HUANG, Xianshen SHA, Yibao ZHANG, Guohao WU, Feng LUO, Zhihui CHEN, Dongming YE, Xuesong LI, Caiyong LAI. Total 3D laparoscopic ileal ureters replacement for bilateral ureters combined with bladder augmentation in the management of post-radiotherapy bilateral ureteral strictures and contracted bladder [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 789-795. |
| [13] | 徐啸, 王海东, 刘振华, 夏海缀. [J]. Journal of Peking University (Health Sciences), 2025, 57(4): 812-816. |
| [14] | . [J]. Journal of Peking University (Health Sciences), 2025, 57(2): 408-410. |
| [15] | Ning LIU, Libo MAN, Feng HE, Guanglin HUANG, Jianpo ZHAI. Correlation between urination intermittences and urodynamic parameters in benign prostatic hyperplasia patients [J]. Journal of Peking University (Health Sciences), 2025, 57(2): 328-333. |
|
||