Hospital-Based Medicine

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

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 Fibrotic Imaging Analysis Algorithm]), trained and validated in the identification of usual interstitial pneumonia (UIP)-like features on HRCT (UIP proba...

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

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 a recurrent renal mass. Using a multi-institutional series, the data of 72 patients who underwent RAPN for a recurrent renal mass between 2010 and 2...

Single-Port Robotic Radical Prostatectomy: Short-Term Outcomes and Learning Curve.

In 2018, the U.S. Food and Drug Administration approved the da Vinci single-port (SP) system, in which four instruments are still utilized, but enter...

ANESTHESIA FOR ROBOT-ASSISTED RADICAL PROSTATECTOMY - A CHALLENGE FOR ANAESTHESIOLOGIST.

Mininimally invasive surgery has become one of the most popular ones over the last few decades due to many benefits. The advantages are minimal surgic...

[Robotic surgery used in urology].

Robotic surgery has been used in urology for more than two decades. It is a minimally invasive procedure with less morbidity, mortality and length of ...

Standard Multiport Single-Port Robot-Assisted Simple Prostatectomy: A Single-Center Initial Experience.

Robot-assisted simple prostatectomy (RASP) has emerged as a safe surgical treatment for patients with benign prostatic hyperplasia with large glands ...

[Comparison of the predictive performance of Logistic regression, BP neural network and support vector machine model for the risk of acute exacerbation of readmission in elderly patients with chronic obstructive pulmonary disease within 30 days].

OBJECTIVE: To compare the effectiveness of Logistic regression, BP neural network and support vector machine models in the prediction of 30-day risk o...

AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification.

In this study, we introduce an interpretable graph-based deep learning prediction model, AttentionSiteDTI, which utilizes protein binding sites along ...

Landscape of Artificial Intelligence in Breast Cancer (2000-2021): A Bibliometric Analysis.

BACKGROUND: Breast cancer remains one of the leading malignancies in women with distinct clinical heterogeneity and intense multidisciplinary cooperat...

Same-Day Discharge Protocol for Robot-Assisted Radical Prostatectomy: Experience of a High-Volume Referral Center.

As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in performing same-day discharge (SDD) protocols to mi...

[Robot-assisted Cardiac Surgery Council and Current Status and Future Prospect of Robotic Mitral Valve Surgery in Japan].

The Robot-assisted Cardiac Surgery Council (RACSC) was established in 2015, and consists of the members of three closely related surgical societies an...

[Differences between Minimary Invasive Cardiac Surgery and Robot-assisted Cardiac Surgery in Mitral Valve Repair].

It has been more than 10 years since the introduction of small-incision surgery for cardiac valvular disease. The so-called minimally invasive cardiac...

[The Initial Learning Curve of Robot-assisted Cardiac Surgery].

Initial 37 cases of robot-assisted cardiac surgery were reviewed. The early outcomes were favorable with low transfusion rate and no mortality, but so...

[Current Status and Prospective of Robot-assisted Cardiac Surgery in Japan].

Recently, in the field of minimally invasive approach, robotic technology has represented the latest development. Robot-assisted cardiac surgery has a...

CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.

Clinical outcome prediction plays an important role in stroke patient management. From a machine learning point-of-view, one of the main challenges is...

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit.

Preterm babies in the Neonatal Intensive Care Unit (NICU) have to undergo continuous monitoring of their cardiac health. Conventional monitoring appro...

Hospital-Agnostic Image Representation Learning in Digital Pathology.

Whole Slide Images (WSIs) in digital pathology are used to diagnose cancer subtypes. The difference in procedures to acquire WSIs at various trial sit...

A Random Tree Forest decision support system to personalize upper extremity robot-assisted rehabilitation in stroke: a pilot study.

Robotic-based rehabilitation administered by means of serious games certainly represents the frontier of rehabilitation treatments, offering a high de...

Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes.

Unplanned hospital readmission is a problem that affects hospitals worldwide and is due to different factors. The identification of those factors can ...

Conception, Development and Validation of Classification Methods for Coding Support of Rare Diseases Using Artificial Intelligence.

Automated coding of diseases can support hospitals in the billing of inpatient cases with the health insurance funds. This paper describes the impleme...