Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: This study was a first step to facilitate the development of automated decision support ...
OBJECTIVE: To investigate whether esmolol could improve clinical outcome and tissue oxygen metabolis...
Although emergency department visit forecasting can be of use for nurse staff planning, previous res...
This paper presents the design, development and control of a new robotic system for fracture manipul...
In this paper, a new co-operative re-scheduling method corresponding the medical support tasks that ...
Laparoscopic surgery has generated a revolution in operative medicine during the past few decades. A...
BACKGROUND: Triage of patients in the emergency department is a complex task based on several uncert...
Data mining of electronic health records (eHRs) allows us to identify patterns of patient data that ...
In the last twenty years most developed countries face dramatic demographic changes, and predominant...
Muscular rigidity and atrophy caused by long-term underactivity usually lead to foot drop, strepheno...
High compliant legs are essential for the efficient versatile locomotion and shock absorbency of hum...
Conventional intracerebral hemorrhage (ICH) surgery uses a stereotactic frame to access an intracere...
BACKGROUND: Rivaroxaban (Xarelto) does not require routine coagulation monitoring; however, in certa...
BACKGROUND: Relationships between various climate factors and stroke have long been a subject of inv...
Breast cancer is the most commonly diagnosed cancer among women, but despite survival rates improvem...