Airway diseases
Respiratory infections
Congress theme
Use of artificial intelligence as a predictive modelling and diagnostic tool for COVID-19
Congress theme: Humans and Machines: getting the balance right
Aims : To explain how artificial intelligence (AI) can analyse large datasets to identify risk factors for development and progression of long COVID, helping healthcare providers to anticipate and manage cases more effectively; to explain how AI-powered diagnostic tools can help identify long COVID symptoms and predict potential complications based on individual patient data, facilitating early intervention and personalised treatment plans.
Target audience :
Adult pulmonologist/Clinician, Clinical researcher, General practitioner, Medical Student, Respiratory critical care physician, Paediatrician, Physician in Pulmonary Training, Physiologist, Respiratory physiotherapist, Scientist (basic, translational), Respiratory therapist
Methods :
Epidemiology, General respiratory patient care, Public health
14:00
AI and and machine learning for diagnosis and risk factor identification in long COVID
O. Kurmi(Coventry, United Kingdom)
COI
-
Description
1
3641
14:15
Personalised diagnosis in complex diseases including long COVID using AI and machine learning
S. Salvi(Pune (Maharashtra), India)
COI
-
Description
2
3642
14:30
Discussion and Q&A
3
3643
. . .
