Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Artificial life is a research field studying what processes and properties define life, based on a multidisciplinary approach spanning the physical, natural, and computational sciences. Artificial life aims to foster a comprehensive study of life beyond "life as we know it" and toward "life as it could be," with theoretical, synthetic, and empirical models of the fundamental properties of living s...
A newly developed waste-to-energy system using a biomass combined energy system designed and taken into account for electricity generation, cooling, and freshwater production has been investigated and modeled in this project. The investigated system incorporates several different cycles, such as a biomass waste integrated gasifier-gas turbine cycle, a high-temperature fuel cell, a Rankine cycle, a...
ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical practice. In clinical decision support, ChatGPT has b...
Inertial sensors can serve as inertial references for space missions and require charge management systems to maintain their on-orbit performance. To ...
Due to the disastrous socio-economic impacts of flood hazards and estimated rise of its occurrences in the near future, there has been an increase in ...
Safety plays a key role in human-robot interactions in collaborative robot (cobot) applications. This paper provides a general procedure to guarantee ...
Background: Hemorrhage remains the leading cause of death on the battlefield. This study aims to assess the ability of an artificial intelligence tria...
Active surveillance (AS), radical prostatectomy (RP), and radical radiotherapy (RT) are the three options for localized prostate cancer. Only a few st...
Biological fingerprints extracted from clinical images can be used for patient identity verification to determine misfiled clinical images in picture ...
Large and medium-sized general hospitals have adopted artificial intelligence big data systems to optimize the management of medical resources to impr...
Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by for...
Predicting the patient's in-hospital mortality from the historical Electronic Medical Records (EMRs) can assist physicians to make clinical decisions ...
We report the world's first case series of ten robot-assisted radical prostatectomy (RARP) procedures performed with the Dexter robotic system (Distal...
PURPOSE: To report the trends, predictors, and patient outcomes of same-day discharge (SDD) versus non-SDD for robot-assisted laparoscopic radical pro...
BACKGROUND: Advanced machine learning models have received wide attention in assisting medical decision making due to the greater accuracy they can ac...
Healthcare artificial intelligence (AI) holds the potential to increase patient safety, augment efficiency and improve patient outcomes, yet research ...
3D reconstruction of the intra-operative scenes provides precise position information which is the foundation of various safety related applications i...
BACKGROUND: This study aimed to examine the performance of machine learning algorithms for the prediction of discharge within 12 and 24 h to produce a...
Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug resistance. Discovering new antibiotics against A. bauman...