Salud Ciencia y Tecnología, Год журнала: 2025, Номер 5, С. 1430 - 1430

Опубликована: Фев. 13, 2025

Artificial intelligence (AI) is rapidly altering the field of hematology, providing novel approaches to diagnosis, prognosis, and management hematological illnesses. AI technologies, including machine learning (ML) deep (DL), allow for analysis massive volumes clinical, genetic, imaging data, resulting in more accurate, rapid, individualized care. In diagnostic transforming blood smear analysis, bone marrow aspirations, genomic profiling by automating cell classification, detecting anomalies, discovering critical genetic changes associated with AI-powered models are also improving prognostic skills predicting disease progression, treatment response, risk relapse illnesses such as leukemia, lymphoma, anemia, myeloproliferative disorders. Furthermore, applications precision medicine enable clinicians adapt medicines based on individual profiles, thereby increasing therapeutic success reducing unwanted effects. The combination modern technology wearable health monitors real-time tools promises improve patient proactive care via continuous monitoring adaptive options. As develops, it has enormous potential enabling early identification, optimizing regimens, ultimately survival quality life. This study investigates future implications emphasizing their revolutionary impact techniques.

Язык: Английский