ABSTRACT
Bipolar disorder is typically diagnosed in the teenage to early adulthood years. During this age, many individuals are students pursuing a college degree. Students developing the symptoms of bipolar disorder have a harder time navigating college and have significant difficulties transitioning back to school after psychiatric hospitalization, potentially influencing quality of life. Despite this, little attention has been given to the academic needs of hospitalized college students. This paper discusses the case of a 21-year-old female with a history of bipolar I disorder who was hospitalized for treatment of a manic episode. We discuss interventions to accommodate her educational needs during hospitalization to help minimize her academic load and ease her transition back to college. With this case study, we address the lack of well-established systems to reacclimate hospitalized college students and propose solutions to mitigate the hardships of transitioning from hospitalization back to the rigors of being a student.
ABSTRACT
Chat Generative Pre-trained Transformer, also known as ChatGPT, is a new artificial intelligence (AI) program that responds to user inquiry with discourse resembling human language. The range of ChatGPT capabilities caught the interest of the medical world after it demonstrated its ability to pass medical boards examinations. In this case report, we present the clinical treatment of a 22-year-old male diagnosed with treatment-resistant schizophrenia (TRS) and compare the medical management suggested by ChatGPT to current standards of care in order to assess the program's ability to identify the disorder, evaluate potential medical and psychiatric work-up, and develop a treatment plan addressing the distinct nuances of our patient. In our inquiry with ChatGPT, we found that it can accurately identify our patient as having TRS and order appropriate tests to methodically rule out alternative causes of acute psychosis. Furthermore, the AI program suggests pharmacologic treatment options including clozapine with adjuvant medications, and nonpharmacologic treatment options including electroconvulsive therapy (ECT), repetitive transcranial magnetic stimulation (rTMS), and psychotherapy which align with current standards of care. Lastly, ChatGPT provides a comprehensive list of side effects associated with antipsychotics and mood stabilizers used to treat TRS. We found both potential for and limitations in the clinical application of ChatGPT to assist in the assessment and management of complex medical conditions. Overall, ChatGPT may serve as a powerful tool to organize medical data in a meaningful and palatable format for medical professionals to reference during patient care.
