Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders
L Gedefaw, CF Liu, RKL Ip, HF Tse, MHY Yeung… - Cells, 2023 - mdpi.com
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …
development of computational programs that can mimic human intelligence. In particular …
Patients with CLL have a lower risk of death from COVID-19 in the Omicron era
CU Niemann, C da Cunha-Bang… - Blood, The Journal …, 2022 - ashpublications.org
Previous studies have shown that patients with chronic lymphocytic leukemia (CLL) and
coronavirus disease 2019 (COVID-19) have high mortality rates. Infection with the Omicron …
coronavirus disease 2019 (COVID-19) have high mortality rates. Infection with the Omicron …
Machine learning and artificial intelligence in haematology
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 …
have resulted in an unprecedented wealth of data. Machine learning is a subdomain of …
Machine learning in haematological malignancies
Machine learning is a branch of computer science and statistics that generates predictive or
descriptive models by learning from training data rather than by being rigidly programmed. It …
descriptive models by learning from training data rather than by being rigidly programmed. It …
Secondary immune deficiency and primary immune deficiency crossovers: hematological malignancies and autoimmune diseases
M Ballow, S Sánchez-Ramón, JE Walter - Frontiers in Immunology, 2022 - frontiersin.org
Primary immunodeficiencies (PIDs), a heterogenous group of inborn errors of immunity, are
predetermined at birth but may evolve with age, leading to a variable clinical and laboratory …
predetermined at birth but may evolve with age, leading to a variable clinical and laboratory …
Artificial intelligence in clinical oncology: from data to digital pathology and treatment
Recently, a wide spectrum of artificial intelligence (AI)–based applications in the broader
categories of digital pathology, biomarker development, and treatment have been explored …
categories of digital pathology, biomarker development, and treatment have been explored …
Development of digitalization road map for healthcare facility management
Effective Healthcare Facility Management (HFM) remain a crucial concern for high quality
built healthcare sectors, both in the public and private areas. The anticipated resource …
built healthcare sectors, both in the public and private areas. The anticipated resource …
Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
ZHE Zhang, X Wei - Seminars in Cancer Biology, 2023 - Elsevier
The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …
amount of collectable data obtained from high-throughput sequencing has led to an …
Machine learning in oncology: what should clinicians know?
The volume and complexity of scientific and clinical data in oncology have grown markedly
over recent years, including but not limited to the realms of electronic health data …
over recent years, including but not limited to the realms of electronic health data …