ChatGPT/AI in Healthcare Management

Journal Title: Journal of Clinical Medical Research - Year 2023, Vol 4, Issue 3

Abstract

ChatGPT is forging a revolution in the realm of human-computer interaction, establishing new paradigms for what artificial intelligence can achieve. Also known as the Generative Pretrained Transformer (GPT), ChatGPT represents a groundbreaking evolution in AI that possesses the ability to generate human-like text. Emerging as a potent asset in various fields, including healthcare, ChatGPT holds substantial transformative potential. This document seeks to provide an extensive exploration of ChatGPT, its functionalities and its implications in the healthcare sector. It scrutinizes the evolution of ChatGPT, the architectural foundation it is built upon and the methodologies employed in its training. The document further explores the applications of ChatGPT in healthcare, emphasizing its role in diagnosis, treatment formulation, patient communication, decision support and spearheading research advancements. Moreover, the document tackles the challenges and risks related to the integration of ChatGPT in healthcare, such as concerns about data privacy, potential biases and ethical deliberations. Finally, it discusses the prospects and future trajectories of ChatGPT in revolutionizing healthcare delivery, enhancing patient outcomes and promoting medical knowledge. By offering an extensive understanding of ChatGPT, this document serves as a beneficial reference for researchers, healthcare professionals and policymakers aiming to delve into the potential of this technology in healthcare. Overall, this document meticulously outlines ChatGPT’s capacity to transform healthcare and advocates for further exploration and assimilation of AI technologies to propel the field forward.

Authors and Affiliations

David Benet

Keywords

Related Articles

Parkinson’s Disease: A Neurodegenerative Disease

Parkinson’s disease is characterized by tremor, stiffness, rigid muscles, bradykinesia, slowness of movement, instability leading to falls, memory and talking difficulties, fatigue, writing modifications (micrography) an...

Evaluation of Therapeutic Adherence among Moroccan Hypertensive Patients: About 1482 Cases

Background and Aims: High Blood Pressure (HBP) is a common condition, however, its several complications especially cardiovascular can be associated with significant morbidity and mortality. Hence, the importance of im...

Internal Mammary Artery Graft Flow Steal by a Large Dialysis Arteriovenous Fistula Characterized by Electrical Storm

Background: Steal syndrome describes a condition in which a dilated vessel distal to a smaller artery attempts to compensate for decreased blood flow by “stealing” from the smaller artery. Steal syndrome is not uncommon...

Metastasis of Differentiated Thyroid Carcinoma: A Descriptive Study of 75 Patients

Introduction: Differentiated Thyroid Carcinoma (DTC) is the most common endocrine malignancy, and is generally of favorable prognosis. However, this latter is significantly worse when initial distant metastasis is presen...

MR Imaging in Unilateral Hydrocephalus in Adults

We present a case of a 19-year-old male who presented with history of headache and seizures of 3 years duration. There was unilateral lateral ventricle hydrocephalous. One of the two lateral ventricles was dilated. Idi...

Download PDF file
  • EP ID EP720889
  • DOI http://dx.doi.org/10.46889/JCMR.2023.4301
  • Views 19
  • Downloads 0

How To Cite

David Benet (2023). ChatGPT/AI in Healthcare Management. Journal of Clinical Medical Research, 4(3), -. https://europub.co.uk/articles/-A-720889