AIMC Topic: Retrospective Studies

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Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study.

Journal of medical Internet research
BACKGROUND: An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19.

Artificial intelligence and machine learning for hemorrhagic trauma care.

Military Medical Research
Artificial intelligence (AI), a branch of machine learning (ML) has been increasingly employed in the research of trauma in various aspects. Hemorrhage is the most common cause of trauma-related death. To better elucidate the current role of AI and c...

Deep-learning algorithm to detect fibrosing interstitial lung disease on chest radiographs.

The European respiratory journal
BACKGROUND: Antifibrotic therapies are available to treat chronic fibrosing interstitial lung diseases (CF-ILDs), including idiopathic pulmonary fibrosis. Early use of these treatments is recommended to slow deterioration of respiratory function and ...

Impact of perinephric fat volume and the Mayo Adhesive Probability score on time to clamping in robot-assisted partial nephrectomy.

Journal of robotic surgery
The aim of this study is to evaluate the association of perinephric fat volume (PNFV) and the Mayo Adhesive Probability (MAP) score with time to clamping (TTC) in robot-assisted partial nephrectomy (RAPN). The study subjects consisted of 73 tumors in...

Deep Learning-Based Recurrent Delirium Prediction in Critically Ill Patients.

Critical care medicine
OBJECTIVES: To predict impending delirium in ICU patients using recurrent deep learning.

Defining the learning curve of robotic portal segmentectomy in small pulmonary lesions: a prospective observational study.

Journal of robotic surgery
Although robotic segmentectomy has been applied for the treatment of small pulmonary lesions for many years, studies on the learning curve of robotic segmentectomy are quite limited. Thus, we aim to investigate the learning curve of robotic portal se...

Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy.

European radiology
OBJECTIVES: The accurate prediction of post-hepatectomy early recurrence in patients with hepatocellular carcinoma (HCC) is crucial for decision-making regarding postoperative adjuvant treatment and monitoring. We aimed to explore the feasibility of ...

Comparison of oncological and functional outcomes of perineoscopic radical prostatectomy and robot-assisted radical prostatectomy.

Updates in surgery
The aim of this study is to compare the functional, oncological, and complication outcomes of perineoscopic radical prostatectomy (PeRP) and robot-assisted radical prostatectomy (RARP) operations. Patients who underwent radical prostatectomy (RP) bet...

Deep Learning-based Approach to Predict Pulmonary Function at Chest CT.

Radiology
Background Low-dose chest CT screening is recommended for smokers with the potential for lung function abnormality, but its role in predicting lung function remains unclear. Purpose To develop a deep learning algorithm to predict pulmonary function w...

The impact of diabetes mellitus on pelvic organ prolapse recurrence after robotic sacrocolpopexy.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: Data examining the effect of diabetes mellitus (DM) on prolapse recurrence after sacrocolpopexy (SCP) is limited. The primary objective of this study was to determine if DM affects prolapse recurrence after robotic SCP.