The 24 Big Challenges of Artificial Inteligence Adoption in Healthcare
Journal Title: Acta Medica Ruha - Year 2023, Vol 1, Issue 3
Abstract
Introduction: The integration of Artificial Intelligence (AI) into medical disciplines has shown significant potential. However, while an abundance of literature is enthusiastic about the potential and promises of AI, particularly in medical diagnostics, there is a distinct of discussion concerning the multitude of challenges associated with its widespread adoption in practical medical settings.Objective:This studyaims to thoroughly analyze the challenges associated with adopting artificial intelligence technologies in medical practice. It provides a realistic perspective on the progress of this technology, countering the often overly idealized viewpoints that primarily showcase advancements in prototypes and technological demonstrators within controlled laboratory conditions.Method:The research design of this study is grounded in the method of document analysis/review. In this context, numerous scientific works were explored through platforms such as Google Scholar, PubMed, BioMed Central, Cochrane, and various scietific databases. Access to articles was obtained, followed by meticulous data analysis and assessments. Search criteria were adjusted based for each ofthe challenges under examination.Results:A total of 24 significant challenges have been identified, intricately interconnected, and dissected using examples that illustrate the maturity level of AI-based developments within the medical domain. These challenges have been categorized into three main categories based on their nature. Each section has been wriiten in a way that can be independently comprehended. The future holds great promise, as underscored by numerous articles showcasing the remarkable advancements arising from the synergy between medicine and artificial intelligence. Hence, there is a need to develop critical thinking to discern the benefits, current limitations, and new paths to overcome them.Conclusion:None of the challenges holds greater importance than the others. The evolution of artificial intelligence in medicine entails collectively overcoming these challenges, using strategies to maximize benefits for both patients and medical experts.
Authors and Affiliations
Rebeca Tenajas, David Miraut
Keywords
Related Articles
- EP ID EP722155
- DOI 10.5281/zenodo.8340188
- Views 50
- Downloads 0
Determination of Health Workers' Attitudes Towards Quality Studies
Introduction: Quality in health is defined as the delivery of the right service, at the right time, to the right people at the right time. Quality in health service delivery is a tool to provide effective and safe care,...
Investigation of the Relationship of Wrist Range of Motion with 2D:4D Ratio in Healthy Individuals
Introduction: Range of motion (ROM) is widely used in the diagnosis of musculoskeletal disorders and in the evaluation of treatment prognosis. The 2D:4D ratio is the ratio of the second finger to the fourth finger. Ob...
Effect of Sodium Nitroprussıde in Patients With Detrussor Overactivity
Introduction: Detrusor instability is a common cause of urgency and urge incontinence in neurologically normal patients. Nitric oxide, relaxes the smooth muscles of the detrusor, prostate, and urethra. Aim: We aimed t...
Mesane Kanserinde Tümör Tomurcuklanmasının Prognostik Önemi: Moleküler Perspektifte Bir Çağrı
Dear Editor, We wish to share our insights on the critical prognostic significance of tumor budding (TB) in bladder cancer (BC) and underscore the urgent necessity for further molecular-level investigations in this do...
The Relationship Of Free ß-hCG, PAPP-A, AFP, ß-hCG, UE3 In Pregnancy With Fac, 50 Gram Glucose Screening Test And Birth Weight
Objective: It is possible to improve the quality of health and care and to minimize high-costmedical expenses by closely monitoring the complications in infants born with abnormal fetal birthweights. Within t...