Hospitalists

Effects of secretome supplementation on interleukin-6, tumor necrosis factor-α, procalcitonin, and the length of stay in acute exacerbation COPD patients.

Acute exacerbation chronic obstructive pulmonary disease (AECOPD) is associated with significant poo...

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.

BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...

Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities.

Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mec...

Identifying inpatient mortality in MarketScan claims data using machine learning.

PURPOSE: Inpatient mortality is an important variable in epidemiology studies using claims data. In ...

Techno-economic optimization of a new waste-to-energy plant for electricity, cooling, and desalinated water using various biomass for emission reduction.

A newly developed waste-to-energy system using a biomass combined energy system designed and taken i...

Utility of ChatGPT in Clinical Practice.

ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical pra...

Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm.

Due to the disastrous socio-economic impacts of flood hazards and estimated rise of its occurrences ...

MP80-05 New Paradigm in Robotic Prostatectomy: Planned Same Day Discharge in All Patients.

Institutional trends and safety profile of same-day discharge for robot-assisted laparoscopic radical prostatectomy: A retrospective analysis.

PURPOSE: To report the trends, predictors, and patient outcomes of same-day discharge (SDD) versus n...

The Adelaide Score: An artificial intelligence measure of readiness for discharge after general surgery.

BACKGROUND: This study aimed to examine the performance of machine learning algorithms for the predi...

Robot-assisted total remnant gastrectomy for interposed jejunal pouch dysfunction 25 years after proximal gastrectomy for gastric cancer: A case report.

Proximal gastrectomy (PG) in combination with jejunal pouch interposition is a technique aimed at im...

Deep-Learning-Based Automated Tracking and Counting of Living Plankton in Natural Aquatic Environments.

Plankton are widely distributed in the aquatic environment and serve as an indicator of water qualit...

Supervised deep learning with vision transformer predicts delirium using limited lead EEG.

As many as 80% of critically ill patients develop delirium increasing the need for institutionalizat...

Random forest identifies predictors of discharge destination following total shoulder arthroplasty.

BACKGROUND: Machine learning algorithms are finding increasing use in prediction of surgical outcome...

Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing.

Our objective was to detect common barriers to post-acute care (B2PAC) among hospitalized older adul...

GPT-4: a new era of artificial intelligence in medicine.

GPT-4 is the latest version of ChatGPT which is reported by OpenAI to have greater problem-solving a...

Same-day discharge robot-assisted laparoscopic prostatectomy: feasibility, safety and patient experience.

OBJECTIVES: To report a single centre's experience of the feasibility, safety and patient acceptabil...

Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction.

Electronic health records (EHRs) have been heavily used in modern healthcare systems for recording p...

Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainability.

In the past few years COVID-19 posed a huge threat to healthcare systems around the world. One of th...

Same day discharge for robot-assisted radical prostatectomy: a prospective cohort study documenting an Australian approach.

BACKGROUND: The introduction of robotic surgical systems has significantly impacted urological surge...

Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records.

As two important textual modalities in electronic health records (EHR), both structured data (clinic...