Latest AI and machine learning research in military medicine for healthcare professionals.
ā¤. Artificial intelligence (AI) provides machines with the ability to perform tasks using algorithms governed by pattern recognition and self-correction on large amounts of data to narrow options in order to avoid errors. ā¤. The 4 things necessary for AI in medicine include big data sets, powerful computers, cloud computing, and open source algorithmic development. ā¤. The use of AI in health care ...
BACKGROUND: As in other areas, military surgery is being transformed by developments in artificial intelligence, robotics and digitalization. Although the prospect of operating with aĀ robot-assisted surgery system in the country of deployment while the responsible surgeon is in Germany is still aĀ long way off, the training of military surgeons and the treatment of injured soldiers on deployment wo...
PURPOSE OF REVIEW: Current recommendations for glaucoma screening are decidedly neutral. No studies have yet documented improved long-term outcomes fo...
Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack confidence for this task or worry about errors. Well...
Medical artificial intelligence (AI) promotes technological revolution and industrial transformation in the medical field, and the medical level of or...
INTRODUCTION: 5th generation cellular mobile communications (5G) is one of the main requirements for the digital future. The new standard will offer h...
OBJECTIVE: Telemedicine is an essential support system for clinical settings outside the hospital. Recently, the importance of the model for assessmen...
In recent years, more studies focus on the UltraWide Band (UWB) radar to provide a noncontact vital sign monitoring service. To further improve the ac...
Adoption of electronic medical records in hospitals generates a large amount of data. Health care professionals can easily lose their sight on the imp...
The paper introduces a structured approach to transforming healthcare towards personalized, preventive, predictive, participative precision (P5) medic...
Since 2012, we have been developing a remote-controlled robotic system (ZerobotĀ®) for needle insertion during computed tomography (CT)-guided interven...
Digital health constitutes a merger of both software and hardware technology with health care delivery and management, and encompasses a number of dom...
BACKGROUND: We present the case of a 6-y-old boy who was diagnosed with sensory processing disorder with developmental language and learning delay. He...
To derive a method of identifying use of evidence-based psychotherapy (EBP) for post-traumatic stress disorder (PTSD), we used clinical note text from...
Even after making allowance for an unprecedented hype, it is an undeniable fact that, in the coming decade, deployment of Artificial Intelligence (AI)...
METI/AMED are conducting a project on the development and deployment of robotic devices for nursing care to enhance the autonomy of elderly persons an...
An ongoing Japan-wide project for the development and deployment of care and assistive robotic devices is being followed by a program of standardizing...
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general ...
To prevent deployment-related disorders, Chaos Driven Situations Management Retrieval System (CHARLY), a computer-aided training platform with a biofe...
UNLABELLED: Management of heart failure is usually multidisciplinary and collaboration between stakeholders in a dedicated HI network like the HerzMob...