Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review

CR Maturana, AD De Oliveira, S Nadal… - Frontiers in …, 2022 - frontiersin.org
Malaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is
transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most …

Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases

S Marletta, V L'Imperio, A Eccher, P Antonini… - … -Research and Practice, 2023 - Elsevier
Infectious diseases still threaten the global community, especially in resource-limited
countries. An accurate diagnosis is paramount to proper patient and public health …

Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning

D Das, R Vongpromek, T Assawariyathipat… - Malaria Journal, 2022 - Springer
Abstract Background Microscopic examination of Giemsa-stained blood films remains the
reference standard for malaria parasite detection and quantification, but is undermined by …

From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film

BE Fan, BSJ Yong, R Li, SSY Wang, MYN Aw, MF Chia… - Blood Reviews, 2024 - Elsevier
Artificial intelligence (AI) and its application in classification of blood cells in the peripheral
blood film is an evolving field in haematology. We performed a rapid review of the literature …

Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images

YM Kassim, F Yang, H Yu, RJ Maude, S Jaeger - Diagnostics, 2021 - mdpi.com
We propose a new framework, PlasmodiumVF-Net, to analyze thick smear microscopy
images for a malaria diagnosis on both image and patient-level. Our framework detects …

The use of machine learning for image analysis artificial intelligence in clinical microbiology

BL Burns, DD Rhoads, A Misra - Journal of clinical microbiology, 2023 - Am Soc Microbiol
The growing transition to digital microbiology in clinical laboratories creates the opportunity
to interpret images using software. Software analysis tools can be designed to use human …

The prognostic and diagnostic value of intraleukocytic malaria pigment in patients with severe falciparum malaria

K Srinamon, JA Watson, K Silamut, B Intharabut… - Nature …, 2022 - nature.com
Severe falciparum malaria is a major cause of death in tropical countries, particularly in
African children. Rapid and accurate diagnosis and prognostic assessment are critical to …

iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope

CR Maturana, AD de Oliveira, S Nadal… - Frontiers in …, 2023 - frontiersin.org
Introduction Malaria is one of the most prevalent infectious diseases in sub-Saharan Africa,
with 247 million cases reported worldwide in 2021 according to the World Health …

Automatic patient-level recognition of four Plasmodium species on thin blood smear by a real-time detection transformer (RT-DETR) object detection algorithm: a …

E Guemas, B Routier… - Microbiology …, 2024 - Am Soc Microbiol
Malaria remains a global health problem, with 247 million cases and 619,000 deaths in
2021. Diagnosis of Plasmodium species is important for administering the appropriate …

Patient-level performance evaluation of a smartphone-based malaria diagnostic application

H Yu, FO Mohammed, M Abdel Hamid, F Yang… - Malaria Journal, 2023 - Springer
Background Microscopic examination is commonly used for malaria diagnosis in the field.
However, the lack of well-trained microscopists in malaria-endemic areas impacted the most …