Haematology is a field that offers the gateway to life itself. This chapter provides a very brief
treatment and discussion of haematology and artificial intelligence, looking at areas where …

Recent advancements in AI have had a profound impact in various medical disciplines,
including haematology. Utilizing abundant heterogeneous patient data, AI methodologies …

Abstract Purpose of Review Artificial intelligence (AI), and in particular its subcategory
machine learning, is finding an increasing number of applications in medicine, driven in …

Artificial intelligence (AI) and machine learning (ML) are trending topics. AI is a broad term
that represents the general concept of machines being able to carry out decisionmaking and …

The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve
the integration of artificial intelligence (AI)-based systems into routine practice to support the …

Including artificial intelligence in haematological education is compulsory but should not be
limited to students. Experienced haematologist and decision‐makers in the clinical …

Artificial intelligence (AI) is about to make itself indispensable in the health care sector.
Examples of successful applications or promising approaches range from the application of …

Artificial intelligence (AI) is conventionally defined as the ability of a computer system to
perform tasks that are usually thought to require human intelligence, including reasoning …

Digitalization of the medical record and integration of genomic methods into clinical practice
have resulted in an unprecedented wealth of data. Machine learning is a subdomain of …

Morphological assessment of blood and bone marrow smears by expert pathologists using
manual microscopy is the foundation of diagnosing many haematological diseases. In the …