Artificial Intelligence in Hospital and treatment using chemotherapy: Present and Future

Abstract

Medical technologies driven by artificial intelligence are swiftly advancing into practical applications for clinical practice. Deep learning algorithms can manage the growing volumes of data generated by wearables, smartphones, and various mobile monitoring devices across many medical fields. At now, the application of artificial intelligence is advantageous just in some clinical situations, including the identification of atrial fibrillation, epileptic seizures, and hypoglycemia, as well as the diagnosis of diseases through histological analysis or medical imaging. The introduction of augmented medicine is eagerly anticipated by patients as it facilitates more autonomy and personalised treatment; yet, it faces resistance from physicians who are unprepared for this progression in clinical practice. This issue necessitates the validation of contemporary instruments through traditional clinical trials, the reevaluation of medical curricula in the context of digital medicine, and the ethical considerations surrounding continuous monitoring. This study aims to examine recent scientific research and offer insights on the advantages, future prospects, and hazards associated with proven artificial intelligence applications in clinical practice, focussing on physicians, healthcare institutions, medical education, and bioethics.