Moran-Sanchez, JuliaSantisteban-Espejo, AntonioMartin-Piedra, Miguel AngelPerez-Requena, JoseGarcia-Rojo, Marcial2022-10-052022-10-052021-05-25Moran-Sanchez J, Santisteban-Espejo A, Martin-Piedra MA, Perez-Requena J, Garcia-Rojo M. Translational Applications of Artificial Intelligence and Machine Learning for Diagnostic Pathology in Lymphoid Neoplasms: A Comprehensive and Evolutive Analysis. Biomolecules. 2021 May 25;11(6):793.http://hdl.handle.net/10668/4224Genomic analysis and digitalization of medical records have led to a big data scenario within hematopathology. Artificial intelligence and machine learning tools are increasingly used to integrate clinical, histopathological, and genomic data in lymphoid neoplasms. In this study, we identified global trends, cognitive, and social framework of this field from 1990 to 2020. Metadata were obtained from the Clarivate Analytics Web of Science database in January 2021. A total of 525 documents were assessed by document type, research areas, source titles, organizations, and countries. SciMAT and VOSviewer package were used to perform scientific mapping analysis. Geographical distribution showed the USA and People's Republic of China as the most productive countries, reporting up to 190 (36.19%) of all documents. A third-degree polynomic equation predicts that future global production in this area will be three-fold the current number, near 2031. Thematically, current research is focused on the integration of digital image analysis and genomic sequencing in Non-Hodgkin lymphomas, prediction of chemotherapy response and validation of new prognostic models. These findings can serve pathology departments to depict future clinical and research avenues, but also, public institutions and administrations to promote synergies and optimize funding allocation.enAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Artificial intelligenceHematopathologyLymphoid neoplasmsDigital image analysisMachine learningInteligencia artificialLinfoma no HodgkinProcesamiento de imagen asistido por computadorAprendizaje automáticoMedical Subject Headings::Geographical Locations::Geographic Locations::Asia::Far East::ChinaMedical Subject Headings::Check Tags::FemaleMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::HumansMedical Subject Headings::Diseases::Neoplasms::Neoplasms by Histologic Type::Lymphoma::Lymphoma, Non-HodgkinMedical Subject Headings::Check Tags::MaleMedical Subject Headings::Geographical Locations::Geographic Locations::Americas::North America::United StatesMedical Subject Headings::Information Science::Information Science::Information Storage and Retrieval::Databases as Topic::Databases, FactualMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnosis, Computer-AssistedMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Models, Theoretical::Models, BiologicalMedical Subject Headings::Information Science::Information Science::Computing Methodologies::Artificial IntelligenceMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::PrognosisMedical Subject Headings::Geographical Locations::Geographic Locations::Asia::Far East::TaiwanMedical Subject Headings::Diseases::NeoplasmsMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Records as Topic::Medical RecordsMedical Subject Headings::Psychiatry and Psychology::Psychological Phenomena and Processes::Mental Processes::CognitionMedical Subject Headings::Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Genetics::Genomicsresearch article34070632open access10.3390/biom110607932218-273XPMC8227233