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AI for clinical assessment, epidemiological prediction and telemedicine

AI for clinical assessment, epidemiological prediction and telemedicine

Additional content

Slides

 

21 May, 2024 | Online

18:00-19:00 CEST


Chair: Prof. Stylianos Loukides (Athens, Greece)
Speakers: Dr Silvia Ingala (Copenhagen, Denmark), Dr Om Prakash Kurmi (Coventry, United Kingdom), Dr Isaac Cano (Vilanova del Camí, Spain)

 

 

This webinar is one of a series of activities linked to the upcoming ERS Congress theme 'Humans and machines: getting the balance right'. The content of this webinar will complement the content of the congress programme.

Overview

COVID-19 has seriously affected numerous countries in the world from various aspects. These aspects are mainly attributed to medical conditions in terms of insufficient medical care, hospital capacity overload, personnel shortage for primary care assessment & treatment, etc. Artificial Intelligence (AI) plays an important role in medical assessment, imaging, epidemic prediction, epidemiology spread, treatment development and telemedicine particularly in primary care. This webinar will provide data and personal experience in terms of AI and COVID 19 pandemic and also could raise several points for future pandemic and endemic spreads.

Educational aims

  • AI for clinical assessment (radiology, co-morbidities, drug development, algorithm)
  • AI for epidemiological prediction
  • AI -telemedicine for primary care medical care

Topics

  • The role of AI in epidemiological prediction of future pandemics or endemic outbreaks
  • AI for drug development
  • Telemedicine for medical care in primary care: Lessons from Covid 19

Target audience

  • Clinicians
  • Trainees
  • Epidemiologists
  • Health professionals

Learning outcomes

Following this webinar, participants will be able to understand how AI and machines could help us in various aspects to improve either the epidemiological prediction or/and the clinical assessment in future pandemics and endemic outbreaks.