Haniye Mastour
Biographic Data
| ID | 8238614 |
|---|---|
| NAME | Haniye Mastour |
| GIVEN NAMES | Haniye |
| FAMILY NAME | Mastour |
| SIGNATURE | MASTOUR H |
| AFFILIATIONS | Mashhad University of Medical Sciences |
| ORCID | 0000-0003-4893-0998 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Is it time to introduce an artificial intelligence curriculum in undergraduate medical education? medical students’ perspectives
BACKGROUND: Although artificial intelligence (AI) is increasingly transforming healthcare systems, its systematic integration into undergraduate medical education (UME) remains limited. Despite widespread recognition of AI's potential to enhance clinical practice, AI-related competencies are still inadequately embedded in most medical curricula, even though medical students generally express positive attitudes toward AI. OBJECTIVES: This systemat…
Design and evaluation of a gamified mobile application for teaching cardiac rhythm interpretation to nursing students
BACKGROUND: Gamification has emerged as an innovative educational approach to enhance learner engagement and motivation in health professions education. In nursing education, accurate interpretation of cardiac rhythms is a critical competency that requires repeated practice and timely feedback. This study aimed to design, develop, and evaluate a gamified mobile application (RhythmPath) to support nursing students’ learning of cardiac rhythm inter…
Changing the landscape of medical anatomy education
BACKGROUND: Anatomy education faces challenges such as reduced teaching hours and limited cadaver access, emphasizing the need for innovative instructional strategies. The flipped classroom model, which shifts knowledge acquisition to pre-class activities and fosters active learning during class, has shown promise but remains underexplored in practical gastrointestinal anatomy teaching. METHODS: This quasi-experimental study involved 63 medical s…
Psychometric evaluation of the Persian Sensitivity to Punishment and Sensitivity to Reward Questionnaire and its network relations with executive functions and internalizing and externalizing symptoms
Implementing an Internet of Things-based learning platform into medical education
The Internet of Things (IoT) represents a paradigm shift in medical education, offering solutions to long-standing educational challenges. IoT-based systems provide real-time data, simulate clinical environments, and enable personalized learning, critical for preparing future healthcare professionals. This study implemented an IoT-based learning platform for a preclinical Doctor of Medicine (MD) course launched for 56 third-year students in a med…
Early maladaptive schema, attachment style, and parenting style in a clinical population with personality disorder and normal individuals
Therefore, intervention based on these factors early in life may help reduce the characteristics of personality disorders. Also, considering the role of these factors, treatment protocols can be prepared
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Early maladaptive schema, attachment style, and parenting style in a clinical population with personality disorder and normal individuals
Therefore, intervention based on these factors early in life may help reduce the characteristics of personality disorders. Also, considering the role of these factors, treatment protocols can be prepared
Implementing an Internet of Things-based learning platform into medical education
The Internet of Things (IoT) represents a paradigm shift in medical education, offering solutions to long-standing educational challenges. IoT-based systems provide real-time data, simulate clinical environments, and enable personalized learning, critical for preparing future healthcare professionals. This study implemented an IoT-based learning platform for a preclinical Doctor of Medicine (MD) course launched for 56 third-year students in a med…
Is it time to introduce an artificial intelligence curriculum in undergraduate medical education? medical students’ perspectives
BACKGROUND: Although artificial intelligence (AI) is increasingly transforming healthcare systems, its systematic integration into undergraduate medical education (UME) remains limited. Despite widespread recognition of AI's potential to enhance clinical practice, AI-related competencies are still inadequately embedded in most medical curricula, even though medical students generally express positive attitudes toward AI. OBJECTIVES: This systemat…
Design and evaluation of a gamified mobile application for teaching cardiac rhythm interpretation to nursing students
BACKGROUND: Gamification has emerged as an innovative educational approach to enhance learner engagement and motivation in health professions education. In nursing education, accurate interpretation of cardiac rhythms is a critical competency that requires repeated practice and timely feedback. This study aimed to design, develop, and evaluate a gamified mobile application (RhythmPath) to support nursing students’ learning of cardiac rhythm inter…
Changing the landscape of medical anatomy education
BACKGROUND: Anatomy education faces challenges such as reduced teaching hours and limited cadaver access, emphasizing the need for innovative instructional strategies. The flipped classroom model, which shifts knowledge acquisition to pre-class activities and fosters active learning during class, has shown promise but remains underexplored in practical gastrointestinal anatomy teaching. METHODS: This quasi-experimental study involved 63 medical s…
Psychometric evaluation of the Persian Sensitivity to Punishment and Sensitivity to Reward Questionnaire and its network relations with executive functions and internalizing and externalizing symptoms
Curriculum (2 works) · Personality Disorders and Psychopathology (2 works) · Psychology (2 works) · Simulation-Based Education in Healthcare (2 works) · Anatomy and Medical Technology (1 work) · Anxiety (1 work) · Anxiety sensitivity (1 work) · Applications of artificial intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Attachment and Relationship Dynamics (1 work)