Artificial intelligence in framework of medical education curriculum- A Systemic Review
DR. SOWMYA S
, DR. AYYALI AMBARISH , DR. NAGESH HN
Artificial Intelligence, Medical Edication, curriculum development, Diagnosis
INTRODUCTION: Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Medical education is often based on 6 domains: patient care, medical knowledge, interpersonal and communication skills, practice-based learning and improvement, professionalism, and systems-based practice. There are different types of AI, Reactive Machines, Limited Memory, Theory of Mind and Self-Awareness. Artificial intelligence (AI) is a growing phenomenon, which is facilitating many professions including learning & teaching in medical education (ME) 1. The primary use of AI in ME is to see the ability to provide individualised feedback mainly by learning support2. With the raise of AI system and healthcare digitalisation are associated with fundamental paradigm shift in teaching3. AI implementation at ME, to develop multidimensional, greater accuracy curriculum, more objective, fast process of evaluation and students’ adaptive and personalised educational contents4. OBJECTIVES: The study aims to review the application of AI in ME and possibilities in CBME implementation. In this paper, we have addressed state of ME at present and have recommended a framework of medical education curriculum. METHODS: The articles were searched with explicit inclusion & exclusion criteria, subsequently data were pooled & analysed qualitatively and concluded. RESULTS: From this study we can use AI to frame network of medical education like using smart assistant for skill demonstration, self-driving assessments and feedbacks, Robo -advisors and automated recommendations for assessments and skill practice. CONCLUSIONS:It is the endeavor to replicate or simulate human intelligence in machines AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry. Medical Faculty should take AI as a project to develop systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience to implement with medical education.
"Artificial intelligence in framework of medical education curriculum- A Systemic Review ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.248 - 250, May-2022, Available :https://ijsdr.org/papers/IJSDR2205047.pdf
Volume 7
Issue 5,
May-2022
Pages : 248 - 250
Paper Reg. ID: IJSDR_200312
Published Paper Id: IJSDR2205047
Downloads: 000347259
Research Area: Science & Technology
Country: Bangalore, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
