Jcm Free Fulltext Application Of Artificial Intelligence Artificial intelligence (ai), also known as machine intelligence, is widely utilized in the medical field, promoting medical advances. malignant tumors are the critical focus of medical research and improvement of clinical diagnosis and treatment. mediastinal malignancy is an important tumor that attracts increasing attention today due to the difficulties in treatment. combined with artificial. A key issue in the field of kidney transplants is the analysis of transplant recipients’ survival. by means of the information obtained from transplant patients, it is possible to analyse in which cases a transplant has a higher likelihood of success and the factors on which it will depend. in general, these analyses have been conducted by applying traditional statistical techniques, as the.
Jcm Free Full Text Application Of Artificial Intelligence To The Cardiovascular disease remains an integral field on which new research in both the biomedical and technological fields is based, as it remains the leading cause of mortality and morbidity worldwide. however, despite the progress of cardiac imaging techniques, the heart remains a challenging organ to study. artificial intelligence (ai) has emerged as one of the major innovations in the field of. In the digital age, artificial intelligence (ai) is emerging as a transformative force in various sectors, including medicine. this article explores the potential of ai, which is akin to the magical genie of aladdin’s lamp, particularly within thoracic surgery and lung cancer management. it examines ai applications like machine learning and deep learning in achieving more precise diagnoses. In the cardiovascular prevention analysis of big databases, using artificial intelligence is helping the scientific community to develop accurate prediction analyses for cardiovascular death. this has been tested in particular in the field of coronary artery disease (cad). in managing patients with hypertension, artificial intelligence has been. Objective: this systematic review aims to summarize the evidence on the use and applicability of ai in impacted mandibular third molars. methods: searches were performed in the following databases: pubmed, scopus, and google scholar. the study protocol is registered at the international platform of registered systematic review and meta analysis protocols (inplasy202460081). the retrieved.
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