FGAI4H-K-014-A03 E-meeting, 30 September – 2

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FGAI4H-K-014-A03 E-meeting, 30 September 2 October 2020 Topic Group-Malaria: AI based detection of Malaria-an update Rose Nakasi Makerere University, Uganda E-meeting, 27 29 January 2021 Malaria burden in endemic Countries Accounts for

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FGAI4H-K-014-A03 E-meeting, 30 September – 2 October 2020<br>
02
Topic Group-Malaria: AI based detection of Malaria-an update Rose Nakasi
Makerere University, Uganda

E-meeting, 27 – 29 January 2021<br>
03
Malaria burden in endemic Countries
Accounts for over 3.4 billion cases globally
Lack of enough trained lab technicians
1.72 microscopes per 100,000 population, but only 0.85 Microscopists per 100,000
Gold standard diagnosis(microscopy) challenge
SOP requires not to view more than 30 slides a day
Less diagnosis throughput
Variations in individual expert judgment
AI solution
Supports image analysis and has potential to improve the timeliness and accuracy
There is need to;
Standardise benchmarking AI solutions for the detection of Malaria Background<br>