Digital pathology has a crucial role in diagnostic pathology and is increasingly a
technological requirement in the field. Integration of digital slides into the pathology …

Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …

While optical microscopy inspection of blood films and bone marrow aspirates by a
hematologist is a crucial step in establishing diagnosis of acute leukemia, especially in low …

Human‐centric biomedical diagnosis (HCBD) becomes a hot research topic in the
healthcare sector, which assists physicians in the disease diagnosis and decision‐making …

Objectives Flow cytometry (FC) is critical for the diagnosis and monitoring of hematologic
malignancies. Machine learning (ML) methods rapidly classify multidimensional data and …

Human needs consist of five levels, which are: physiological needs, safety needs, love
needs, esteem needs and self-actualization. All these needs lead to human behavior. If the …

Background Immunophenotypic analysis of cell populations by flow cytometry has an
established role in primary diagnosis and disease monitoring of many hematologic …

Background Given the costs of machine learning implementation, a systematic approach to
prioritizing which models to implement into clinical practice may be valuable. Objective The …

Abstract Background and Aims This systematic review aimed to evaluating the effectiveness
of machine learning (ML) algorithms for the prediction and diagnosis of meningitis. Methods …

Summary In sub‐Saharan Africa, acute‐onset severe malaria anaemia (SMA) is a critical
challenge, particularly affecting children under five. The acute drop in haematocrit in SMA is …