AIMC Topic: Retrospective Studies

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Clinical application of virtual imaging guided Robot-assisted partial nephrectomy.

The journal of medical investigation : JMI
Objectives : To evaluate whether virtual partial nephrectomy images could help surgeons identify vascular and collecting system around tumors during actual surgery. Materials & methods : We retrospectively analyzed 36 patients who underwent robot-ass...

Oncological and functional results after robot-assisted radical prostatectomy in high-risk prostate cancer patients.

Cirugia y cirujanos
BACKGROUND: Pentafecta is currently the standard in the comprehensive evaluation of patients undergoing radical prostatectomy, the objective of this study is the evaluation of oncological and functional outcomes in patients with prostate cancer of hi...

Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model.

Journal of primary care & community health
OBJECTIVES: During the COVID-19 pandemic, a quick and reliable phone-triage system is critical for early care and efficient distribution of hospital resources. The study aimed to assess the accuracy of the traditional phone-triage system and phone tr...

A Deep Learning Approach to Identify Chest Computed Tomography Features for Prediction of SARS-CoV-2 Infection Outcomes.

Methods in molecular biology (Clifton, N.J.)
There is still an urgent need to develop effective treatments to help minimize the cases of severe COVID-19. A number of tools have now been developed and applied to address these issues, such as the use of non-contrast chest computed tomography (CT)...

Deep learning model-assisted detection of kidney stones on computed tomography.

International braz j urol : official journal of the Brazilian Society of Urology
INTRODUCTION: The aim of this study was to investigate the success of a deep learning model in detecting kidney stones in different planes according to stone size on unenhanced computed tomography (CT) images.

Feasibility and Efficacy of Single-Port Robotic Cholecystectomy Using the da Vinci SP® Platform.

JSLS : Journal of the Society of Laparoendoscopic Surgeons
BACKGROUND: Single-incision laparoscopic cholecystectomy, first introduced in 1995, features acceptable cosmetic outcomes and postoperative pain control. The outcomes of single-port cholecystectomy by laparoscopy and robots were recently examined in ...

Deep-learning-based Segmentation of Skeletal Muscle Mass in Routine Abdominal CT Scans.

In vivo (Athens, Greece)
BACKGROUND: For prediction of many types of clinical outcome, the skeletal muscle mass can be used as an independent biomarker. Manual segmentation of the skeletal muscles is time-consuming, therefore we present a deeplearning-based approach for the ...

Assessment of Feasibility of Robot-assisted Radical Cystectomy in Patients With Advanced Bladder Cancer Treated With Maintenance Hemodialysis Therapy.

In vivo (Athens, Greece)
BACKGROUND/AIM: To clarify the perioperative and oncological outcomes of robot-assisted radical cystectomy (RARC) in advanced bladder cancer (BC) patients treated with maintenance hemodialysis (HD) therapy.

Cost analysis of supply chain management of Da Vinci surgical instruments: A retrospective study.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Da Vinci surgery is used extensively, but the high costs of the surgical instrument are a serious clinical and management problem.

Utility of Robot-assisted Laparoscopic Transabdominal Preperitoneal Repair of Inguinal Hernia Following Robot-assisted Laparoscopic Radical Prostatectomy.

In vivo (Athens, Greece)
BACKGROUND: To evaluate the utility of robot-assisted laparoscopic transabdominal preperitoneal repair (R-TAPP) of postprostatectomy inguinal hernia (PIH) in patients who underwent robot-assisted laparoscopic radical prostatectomy (RALP).