Hospital-Based Medicine

Real-time prediction of inpatient length of stay for discharge prioritization.

OBJECTIVE: Hospitals are challenged to provide timely patient care while maintaining high resource utilization. This has prompted hospital initiatives to increase patient flow and minimize nonvalue added care time. Real-time demand capacity management (RTDC) is one such initiative whereby clinicians convene each morning to predict patients able to leave the same day and prioritize their remaining ...

Intrawound Vancomycin Powder for Spine Tumor Surgery.

Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infection rates following intrawound vancomycin powder application during spine tumor surgery. Methods Patients ≥18 years old undergoing spine tumor surgery and receiving intrawound vancomycin powder at a single center between January 2008 and January 2015 were enrolled. Patient demographics (age, sex, bod...

Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.

OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emergency medicine. In a video-based study of RSI in a...

MILS in a general surgery unit: learning curve, indications, and limitations.

Minimally invasive liver surgery (MILS) is going to be a method with a wide diffusion even in general surgery units. Organization, learning curve effe...

ANN modelling of sediment concentration in the dynamic glacial environment of Gangotri in Himalaya.

The present study explores for the first time the possibility of modelling sediment concentration with artificial neural networks (ANNs) at Gangotri, ...

The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed...

Laparoscopic robot-assisted resection of tumors located in posterosuperior liver segments.

Laparoscopic resection of liver tumors located in the posterosuperior segments is a challenging operation that could be facilitated by robotic assista...

Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs).

There are a large number of tomato cultivars with a wide range of morphological, chemical, nutritional and sensorial characteristics. Many factors are...

Understanding safety-critical interactions with a home medical device through Distributed Cognition.

As healthcare shifts from the hospital to the home, it is becoming increasingly important to understand how patients interact with home medical device...

Cervical Scoliosis: Clinical and Radiographic Outcomes.

Study Design Retrospective study. Objective Cervical scoliosis is a rare condition that can arise from various etiologies. Few reports on the surgical...

A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation.

Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduced supervision have attracted increasing amount of...

An end-to-end hybrid algorithm for automated medication discrepancy detection.

BACKGROUND: In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and b...

Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neura...

Surgical Excision of Advanced Endometriosis: Perioperative Outcomes and Impacting Factors.

OBJECTIVE: To determine perioperative outcomes and factors impacting operating time, length of hospital stay, and complications of patients undergoing...

Detecting tympanostomy tubes from otoscopic images via offline and online training.

Tympanostomy tube placement has been commonly used nowadays as a surgical treatment for otitis media. Following the placement, regular scheduled follo...

Multiscale Modeling of Gene-Behavior Associations in an Artificial Neural Network Model of Cognitive Development.

In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly im...

Development of a standardised training curriculum for robotic surgery: a consensus statement from an international multidisciplinary group of experts.

OBJECTIVES: To explore the views of experts about the development and validation of a robotic surgery training curriculum, and how this should be impl...

State of the art of fuzzy methods for gene regulatory networks inference.

To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy methods used in gene regulatory networks (GRNs) infe...

Re: Editorial comment on early discharge after laparoscopic or robotic partial nephrectomy: care pathway evaluation: M. P. Laguna J Urol 2014;192:1639.

Predicting inpatient stay lasting 2 midnights or longer after robotic surgery for endometrial cancer.

OBJECTIVE: To estimate the rate of inpatient stay and the factors predicting inpatient status after robotic surgery for endometrial cancer following t...