AIMC Topic: Retrospective Studies

Clear Filters Showing 9211 to 9220 of 9989 articles

[Case-control study on robot-assisted core decompression and conventional core decompression for early necrosis of femoral head].

Zhongguo gu shang = China journal of orthopaedics and traumatology
OBJECTIVE: To compare clinical effect of robot-assisted core decompression and conventional core decompression in treating ARCO Ⅰ stage necrosis of femoral head.

[A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs].

Zhonghua xin xue guan bing za zhi
To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk factors. Subjects aged>18 years with complete clinical examination data from 149 hospitals and medical e...

[Clinical Outcome of Robot-Assisted Distal Pancreatectomy in Our Institutional Introduction].

Gan to kagaku ryoho. Cancer & chemotherapy
We evaluated the clinical outcome and assessed the safety of robot-assisted distal pancreatectomy(RADP)of early 5 cases in our institutional introduction. We followed the guidelines for introduction of robot-assisted pancreatectomy proposed by Japane...

Comparison of Robotic and Laparoscopic Colectomies Using the 2019 ACS NSQIP Database.

Southern medical journal
OBJECTIVES: Robot-assisted laparoscopic surgeries (RLSs) have become increasingly common in the past decade alongside conventional laparoscopic surgeries (CLSs). In general, RLSs have been reported to be superior to CLSs; therefore, we compared both ...

Machine learning models predicting undertriage in telephone triage.

Annals of medicine
BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine learning provides better triage prediction than conventional triage in emergency departments, but no machine learning-based undertriage prediction mode...

Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease.

Renal failure
PURPOSE: Acute kidney injury (AKI) is a common complication and associated with a poor clinical outcome. In this study, we developed and validated a model for predicting the risk of AKI through machine learning methods in critical care patients with ...

Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease.

Cell reports
Translating human genetic findings (genome-wide association studies [GWAS]) to pathobiology and therapeutic discovery remains a major challenge for Alzheimer's disease (AD). We present a network topology-based deep learning framework to identify dise...

Prospective Validation of a Machine Learning Model for Low-Density Lipoprotein Cholesterol Estimation.

Laboratory medicine
OBJECTIVE: We aim to prospectively validate a previously developed machine learning algorithm for low-density lipoprotein cholesterol (LDL-C) estimation.

[Trans-Douglas Retzius' space-sparing robot-assisted simple prostatectomy for large-volume benign prostate hyperplasia].

Zhonghua nan ke xue = National journal of andrology
OBJECTIVE: To report the safety and efficacy of trans-Douglas Retzius' space-sparing robot-assisted simple prostatectomy (RSS-RASP) in the treatment of large-volume BPH.

Modified apical dissection improves early continence in robot-assisted laparoscopic radical prostatectomy: Comparative study between modified apical dissection and anterior suspension stitch.

Investigative and clinical urology
PURPOSE: Recently, the modified apical dissection (MAD) technique in robot-assisted laparoscopic radical prostatectomy (RARP) has shown excellent functional outcomes but has never been rigorously validated at various institutions. This study aimed to...