Remote Monitoring, AI, Machine Learning and Mobile Ultrasound Integration upon 5G Internet in the Prehospital Care to Support the Golden Hour Principle and Optimize Outcomes in Severe Trauma and Emergency Surgery...Medical Informatics Europe (MIE) 34th Conference, August 25-29, 2024, Athens, Greece.

Aim: Feasibility and reliability evaluation of 5G internet networks (5G IN) upon Artificial Intelligence (AI)/Machine Learning (ML), of telemonitoring and mobile ultrasound (m u/s) in an ambulance car (AC)- integrated in the prehospital setting (PS)- to support the Golden Hour Principle (GHP) and op...

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Publicado en:Studies in Health Technology & Informatics Vol. 316; pp. 1807 - 1812
Autores principales: MAMMAS, Constantinos S., MAMMA, Adamantia S.
Formato: pictorial proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2024
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Sage Publications Inc.
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        atl: Remote Monitoring, AI, Machine Learning and Mobile Ultrasound Integration upon 5G Internet in the Prehospital Care to Support the Golden Hour Principle and Optimize Outcomes in Severe Trauma and Emergency Surgery...Medical Informatics Europe (MIE) 34th Conference, August 25-29, 2024, Athens, Greece.
      aug:
        au:
          MAMMAS, Constantinos S.
          MAMMA, Adamantia S.
        affil: Program of Excellence 2014-16-Siemens Program for Greece.
      sug:
        subj:
          Remote Consultation
          Monitoring, Physiologic
          Artificial Intelligence
          Machine Learning
          Internet Access
          Prehospital Care
          Outcomes (Health Care)
          Wounds and Injuries Therapy
          Severity of Illness
          Surgery, Operative Methods
          Emergency Service
          Reliability Evaluation
          Ultrasonography Equipment and Supplies
          Ambulances
          Automobiles
          Congresses and Conferences Greece
          Greece
          Human
          Child
          Adult
          United States
          Pilot Studies
          Telecommunications
          Experimental Studies
          Algorithms
          Cloud Computing
          Ergonomics
          Information Technology
          Surgeons Psychosocial Factors
          Descriptive Statistics
          Child: 6-12 years
          Adult: 19-44 years
      ab: Aim: Feasibility and reliability evaluation of 5G internet networks (5G IN) upon Artificial Intelligence (AI)/Machine Learning (ML), of telemonitoring and mobile ultrasound (m u/s) in an ambulance car (AC)- integrated in the prehospital setting (PS)- to support the Golden Hour Principle (GHP) and optimize outcomes in severe trauma (TRS). Material and Methods: (PS) organization and care upon (5G IN) high bandwidths (10 GB/s) mobile tele-communication (mTC) experimentation by using the experimental Cobot PROMETHEUS III, pn:100016 by simulation upon six severe trauma clinical cases by ten (N1=10) experts: Four professional rescuers (n1=4), three trauma surgeons (n2=3), a radiologist (n3=1) and two information technology specialists (n4=2) to evaluate feasibility, reliability and clinical usability for instant risk, prognosis and triage computation, decision support and treatment planning by (AI)/(ML) computations in (PS) of (TRS) as well as by performing (PS) (m u/s). Results: A. Trauma severity scales instant computations by the Cobot PROMETHEUS III, pn 100016) ) based on AI and ML complex algorithms and Cloud Computing, telemonitoring and r showed very high feasibility and reliability upon (5GIN) under specific, technological, training and ergonomic prerequisites B. Measured be-directional (m u/s) images data sharing between (AC) and (ED/TC) showed very high feasibility and reliability upon (5G IN) under specific, technological and ergonomic conditions in (TRS). Conclusion: Integration of (PS) tele-monitoring with (AI)/(ML) and (PS) (m u/s) upon (5GIN) via the Cobot PROMETHEUS III, (pn 100016) in severe (TRS/ES), seems feasible and under specific prerequisites reliable to support the (GHP) and optimize outcomes in adult and pediatric (TRS/ES).
      pubtype: Academic Journal
      doctype:
        pictorial
        proceedings
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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