Schizophrenia and the Role of Artificial Intelligence in Detecting and Treating it: Cognitive Frontiers

Abstract

A persistent mental illness that changes thoughts, feelings, behaviour, and communication with people is schizophrenia. Delusions, hallucinations, distorted thinking, lack of motivation, and fear of society are often its hallmarks. Although there is currently no cure for schizophrenia, patients can greatly benefit from early diagnosis and treatment. The field of artificial intelligence (AI) is very promising for the diagnosis and treatment of schizophrenia. Artificial intelligence systems can scan and analyse vast amounts of data, including genetic and hereditary data, brain scans, and medical records, and predict when a person might develop schizophrenia if the factor is hereditary. This can help medical providers act quickly to start treating patients before their symptoms worsen. AI can also help patients with schizophrenia manage and regulate their medications. Artificial intelligence systems can analyse patient data to determine the best medications and dosage amounts while also highlighting any potential side effects of treatment. This can help medical providers customize strategies structure treatment for each patient and enhance treatment outcomes. Considering all the above-mentioned matters, the use of artificial intelligence in diagnosing, analysing, and treating schizophrenia promises to improve patient outcomes and treatment, deepen our knowledge of this complex disease, early detection of the disease, and find appropriate treatment.