Étude et rapport

Rare diseases 2030: how augmented AI will support diagnosis and treatment of rare diseases in the future

GRATUIT

Auteur(s) :

Martin Christian Hirsch, Simon RonickeMartin Krusche, Annette Doris Wagner

Éditeur(s) :

BMJ

Date de publication :24/03/2020

4 pages

EN BREF ...

"We picture an 18-year-old young man from a village somewhere in Europe. His name is Omer. Omer has been suffering from disease episodes since his early childhood: bursts of fever, fatigue and abdominal pain. He visited many doctors, but none of them was able to establish a satisfactory treatment. He went through a diagnostic and therapeutic odyssey typical for rare disease patients. Fatigue has led him into social isolation. He is perceived as a malingerer. He begins to Google. Due to the unspecific nature of his approach, the search does not bring up specific results, though. Helpful medical knowledge is not accessible to him this way. Consequently, he looks for help through social media. He is targeted for an advertisement of a symptom checker app because of his previous searches and app downloads in his Ad-ID. He reads ‘start a symptom assessment!’ and decides to instal the app."

Rédacteur(s) de la fiche : Beesens Teams


Introductio

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Conclusio

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