AIMC Topic: Retrospective Studies

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Redo Robotic Partial Nephrectomy for Recurrent Renal Tumors: A Multi-Institutional Analysis.

Journal of endourology
As the experience with robot-assisted partial nephrectomy (RAPN) grows, the indications have expanded to incorporate previously operated ipsilateral kidneys with recurrent renal masses. We sought to analyze the outcomes of redo RAPN in patients with...

Deep Learning-based Outcome Prediction in Progressive Fibrotic Lung Disease Using High-Resolution Computed Tomography.

American journal of respiratory and critical care medicine
Reliable outcome prediction in patients with fibrotic lung disease using baseline high-resolution computed tomography (HRCT) data remains challenging. To evaluate the prognostic accuracy of a deep learning algorithm (SOFIA [Systematic Objective Fib...

Embryologist agreement when assessing blastocyst implantation probability: is data-driven prediction the solution to embryo assessment subjectivity?

Human reproduction (Oxford, England)
STUDY QUESTION: What is the accuracy and agreement of embryologists when assessing the implantation probability of blastocysts using time-lapse imaging (TLI), and can it be improved with a data-driven algorithm?

[Effectiveness of modified orthopedic robot-assisted percutaneous kyphoplasty in treatment of osteoporotic vertebral compression fracture].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
OBJECTIVE: To evaluate the effectiveness of orthopedic robot with modified tracer fixation (short for modified orthopedic robot) assisted percutaneous kyphoplasty (PKP) in treatment of single-segment osteoporotic vertebral compression fracture (OVCF)...

Identifying infected patients using semi-supervised and transfer learning.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Early identification of infection improves outcomes, but developing models for early identification requires determining infection status with manual chart review, limiting sample size. Therefore, we aimed to compare semi-supervised and t...

A systematic review of robot-assisted cholecystectomy to examine the quality of reporting in relation to the IDEAL recommendations: systematic review.

BJS open
INTRODUCTION: Robotic cholecystectomy (RC) is a recent innovation in minimally invasive gallbladder surgery. The IDEAL (idea, development, exploration, assessment, long-term study) framework aims to provide a safe method for evaluating innovative pro...

Clinical Validation and Extension of an Automated, Deep Learning-Based Algorithm for Quantitative Sinus CT Analysis.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Sinus CT is critically important for the diagnosis of chronic rhinosinusitis. While CT is sensitive for detecting mucosal disease, automated methods for objective quantification of sinus opacification are lacking. We describe ...

Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy.

Journal for immunotherapy of cancer
Immunotherapy offers the potential for durable clinical benefit but calls into question the association between tumor size and outcome that currently forms the basis for imaging-guided treatment. Artificial intelligence (AI) and radiomics allow for d...

Natural Language Processing of Computed Tomography Reports to Label Metastatic Phenotypes With Prognostic Significance in Patients With Colorectal Cancer.

JCO clinical cancer informatics
PURPOSE: Natural language processing (NLP) applied to radiology reports can help identify clinically relevant M1 subcategories of patients with colorectal cancer (CRC). The primary purpose was to compare the overall survival (OS) of CRC according to ...