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Volume 04
Journal of Clinical Infectious Diseases & Practice
ISSN: 2476-213X
Rare Diseases Congress 2019
June 17-18, 2019
conference
series
.com
June 17-18, 2019 | Berlin, Germany
9
th
World Congress on
Rare Diseases and Orphan Drugs
Page 22
Shmuel Prints, J Clin Infect Dis Pract 2019, Volume 04
The final battle: Wisdom of the crowd against medical mysteries
A
n extraordinary diagnostic delay is a key problem in the rare diseases field. According to public health studies, the
greatest loss of time occurs in primary and secondary outpatient care. The inability of most physicians to recognize
rare diseases in their daily practice is commonly explained by a low suspicion. This notion misses a main culprit in the
clinical diagnostic workup that prevails in modern medicine the classification algorithm. It perfectly recognizes frequent
diseases, and at the same time inevitably neglects rare ones. From this point of view, crowdsourcing a diagnosis for
mysterious patients’ cases has an undoubted methodological advantage. By simultaneously introducing a patient with
an unusual combination of symptoms to a wide range of doctors, we increase the likelihood that among them there is
someone who has seen a similar clinical picture before. Educational medical websites, that present already-solved rare
cases as a riddle for training doctors, shows that the correct diagnosis arises among some physicians in a short matter
of time. Recent researches proved that it takes the same accuracy to solve patients with an unclear diagnosis in medical
forums and other discussion platforms for doctors. Our web-based platform, NDCMedicine, offers a unique solution for
fast and accurate diagnosis of medical mysteries by harnessing the power or crowdsourcing and AI. It solves three main
problems of current crowd sourcing platforms for undiagnosed patients: a) Quality case presentation. b) Gathering all
possible diagnoses. c) Shortlisting the best ones using Artificial Intelligence. Ending the diagnostic odyssey for millions of
patients worldwide has never been so close.
Recent Publications
1. Michael L Barnett, Dhruv Boddupalli, Shantanu Nundy, et al., (2019) Comparative accuracy of diagnosis by
collective intelligence of multiple physicians vs. individual physicians. JAMA Netw Open. 2(3):e190096.
Shmuel Prints
NDC Medicine, Israel