Physical human–robot interaction for clinical care in infectious environments

Su, Hao, Di Lallo, Antonio, Murphy, Robin R.; Taylor, Russell H.; Garibaldi, Brian T.; Krieger, Axel

Su, Hao, Di Lallo, Antonio, Murphy, Robin R.; Taylor, Russell H.; Garibaldi, Brian T.; Krieger, Axel.

Nature Machine Intelligence ; 3(3):184-186, 2021.

Article in English | ProQuest Central | ID: covidwho-1655659

ABSTRACT

ABSTRACT

The COVID-19 pandemic has highlighted key challenges for patient care and health provider safety. Adaptable robotic systems, with enhanced sensing, manipulation and autonomy capabilities could help address these challenges in future infectious disease outbreaks.

Keywords

Computers--Artificial, Intelligence; Intubation; Infections; Infectious, diseases; Patients; Workers; Ventilators; Personal, protective, equipment; Pandemics; Sensors; Medical, personnel; Robots; Surgical, outcomes; Caregivers; Coronaviruses; Point, of, care, testing; Intensive, care; Ultrasonic, imaging; Lungs; Disease, transmission; Robotics; COVID-19

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Prognostic study Language: English Journal: Nature Machine Intelligence Year: 2021 Document Type: Article

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