Detalhe da pesquisa
1.
Characteristics of breast cancers detected by screening mammography in Taiwan: a single institute's experience.
BMC Womens Health
; 23(1): 330, 2023 06 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-37344800
2.
Fortifying Health Care Intellectual Property Transactions With Blockchain.
J Med Internet Res
; 25: e44578, 2023 08 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-37594787
3.
A novel machine learning-based algorithm to identify and classify lesions and anatomical landmarks in colonoscopy images.
Surg Endosc
; 36(1): 640-650, 2022 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33591447
4.
A pressure ulcers assessment system for diagnosis and decision making using convolutional neural networks.
J Formos Med Assoc
; 121(11): 2227-2236, 2022 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-35525810
5.
Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening.
Sensors (Basel)
; 22(19)2022 Sep 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-36236430
6.
Design of HL7 FHIR Profiles for Pathology Reports Integrated with Pathology Images.
Stud Health Technol Inform
; 310: 13-17, 2024 Jan 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38269756
7.
Is There an Association between Concurrent Epstein-Barr Virus Infection and Sudden Hearing Loss?-A Case-Control Study in an East Asian Population.
J Clin Med
; 12(5)2023 Mar 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36902736
8.
Using artificial intelligence algorithms to predict the overall survival of hemodialysis patients during the COVID-19 pandemic: A prospective cohort study.
J Chin Med Assoc
; 86(11): 1020-1027, 2023 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-37713313
9.
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S.
BioData Min
; 16(1): 35, 2023 Dec 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-38098102
10.
Evaluating the hearing screening effectiveness of active noise cancellation technology among young adults: A pilot study.
J Chin Med Assoc
; 86(1): 105-112, 2023 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36300992
11.
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms.
BioData Min
; 16(1): 8, 2023 Mar 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-36899426
12.
Is N -acetylcysteine effective in treating patients with coronavirus disease 2019? A meta-analysis.
J Chin Med Assoc
; 86(3): 274-281, 2023 03 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36728396
13.
Survival benefit of a third dose of the COVID-19 vaccine among hemodialysis patients: A prospective cohort study.
J Microbiol Immunol Infect
; 56(6): 1198-1206, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37770324
14.
Federated machine learning for predicting acute kidney injury in critically ill patients: a multicenter study in Taiwan.
Health Inf Sci Syst
; 11(1): 48, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37822805
15.
Mobile time banking on blockchain system development for community elderly care.
J Ambient Intell Humaniz Comput
; : 1-13, 2022 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35311214
16.
Associations of atrial fibrillation with renal function decline in patients with chronic kidney disease.
Heart
; 108(6): 438-444, 2022 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-34193464
17.
Combination Therapy and Single-Modality Treatment for Acute Low-Tone Hearing Loss: A Meta-Analysis with Trial Sequential Analysis.
Brain Sci
; 12(7)2022 Jun 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-35884673
18.
Sepsis and the Risks of Long-Term Renal Adverse Outcomes in Patients With Chronic Kidney Disease.
Front Med (Lausanne)
; 9: 809292, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35280875
19.
Artificial Intelligence for Risk Prediction of End-Stage Renal Disease in Sepsis Survivors with Chronic Kidney Disease.
Biomedicines
; 10(3)2022 Feb 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-35327348
20.
Artificial Intelligence for Risk Prediction of Rehospitalization with Acute Kidney Injury in Sepsis Survivors.
J Pers Med
; 12(1)2022 Jan 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35055358