Dr. Niloofar Choobin, Hormozgan university of medical science, Iran
Dr. Niloofar Choobin is an award-winning Iranian researcher specializing in Health Information Technology and AI in healthcare. 🎓 Holding a BSc and pursuing an MSc from Hormozgan University of Medical Sciences, she focuses on machine learning in cardiovascular and cancer diagnostics. 💻 Her work spans predictive modeling, digital health innovations, and NLP in medical texts. 📊 With experience in hospitals and academia, she has published systematic reviews and presented at national congresses. 🏅 Recognized with top innovation awards, she mentors students and leads workshops on research. 🌍 Fluent in English and Persian, she aspires to advance AI-driven healthcare globally.
Publication Profile
Scopus
Orcid
🎓 Educational Background
Dr. Niloofar Choobin holds a strong academic foundation in Health Information Technology. 🎓 She earned her Bachelor’s degree (2011–2015) from Hormozgan University of Medical Sciences, Iran, where she developed her early interest in digital health and medical informatics. 🏥 Currently, she is pursuing her Master’s degree (2023–2025 expected) at the same institution. Her MSc thesis focuses on the development and validation of machine learning models for the early detection of coronary artery disease using population health data. 🧠💻 This research highlights her dedication to integrating AI into clinical decision-making for cardiovascular health improvement.
🔬 Research Interests
Dr. Niloofar Choobin’s research focuses on leveraging advanced technologies to transform healthcare delivery and diagnostics. 🤖 She is deeply interested in Artificial Intelligence in Clinical Decision Support systems to enhance diagnostic accuracy and treatment planning. 🧠 Her work includes machine learning applications for early detection of cardiovascular and cancer-related conditions. ❤️🎗 She also explores digital health, IoT, and smart monitoring systems for real-time patient care. 📱🌐 Additionally, Dr. Choobin investigates Natural Language Processing (NLP) in medical texts to automate data extraction and enhance clinical documentation efficiency. 📊📝 Her interdisciplinary approach advances intelligent healthcare solutions.
Professional Experience
Dr. Niloofar Choobin brings a solid background in both clinical and academic healthcare settings. 🏥 Since 2022, she has served as Educational Affairs & Medical Student Coordinator at Children’s Hospital in Bandar Abbas, where she oversees academic programs and mentors students through research workshops. 🎓 Previously, she worked as a Medical Records Analyst at Chamran Trauma Hospital, Shiraz (2020–2021), focusing on patient data and documentation. From 2015 to 2020, she held the role of Clinical Admissions Officer at Kosar Heart Hospital, ensuring efficient patient admissions and healthcare coordination. Her diverse roles enhance her informatics expertise.
Technical & Research Skills
Dr. Niloofar Choobin possesses a robust set of technical and research skills vital for modern healthcare innovation. 💻 She is proficient in Python programming, which she uses to develop and implement data-driven healthcare solutions. 🐍 Her expertise in machine learning frameworks such as Scikit-learn and TensorFlow empowers her to build predictive models for clinical diagnostics. 🤖 In the domain of health informatics, she has strong command over Electronic Health Records (EHR) systems and classification standards like ICD-10 and ICD-11, enabling accurate medical data analysis and interoperability. 📊📋 Her skill set supports advanced digital health research.
🏆 Grants & Awards
Dr. Niloofar Choobin has earned significant recognition for her innovative contributions to health informatics and AI in medicine. 🧠💡 She was honored as the Top Researcher by the Hormozgan Student Research Committee in 2014–2015. 🥇 In 2023, she became an Innovation Finalist at the National Olympiad in Entrepreneurship and AI, showcasing her forward-thinking approach. 🚀 She also secured 2nd Place at the National Health IT Innovation Festival in Mashhad (2022) and was the Winner of the Provincial Innovation Award in 2015. 🏅 These accolades highlight her creativity, research excellence, and impact in digital healthcare.
Academic & Professional Activities
Dr. Niloofar Choobin is actively involved in academic and professional development within the healthcare research community. 🧑🏫 From 2022 to 2024, she has served as a reviewer for several national medical student congresses, contributing to scholarly standards. 📝 She regularly organizes workshops on research methodology, proposal writing, and referencing to empower emerging researchers. 🧠📖 As a journal club leader, she facilitates discussions on topics like ML-based wearable systems for cardiac arrest. 💓🤖 Her teaching experience covers research methods, systematic reviews, and academic database searching, reflecting her dedication to advancing evidence-based medical education
🧪 Research Focus Area
Dr. Niloofar Choobin’s research lies at the intersection of Artificial Intelligence, Digital Health, and Clinical Informatics. 🤖📱 She focuses on using wearable technologies, IoT systems, and machine learning models for cancer care, cardiovascular diagnostics, and hypertension management, particularly during critical periods like COVID-19. ❤️ Her studies also explore telemedicine, VR-assisted surgery, and natural language processing tools like ChatGPT in clinical settings. 🩺🧠 Her expertise fits within the Medical AI and Health Informatics category, targeting intelligent systems for early disease detection, remote monitoring, and smart post-treatment care. 🧬📊 She contributes significantly to innovation in personalized healthcare.
Publication Top Notes
📘 “Tracking Health: Wearable Technology in Cancer Care” – Systematic Review, Published in 2022
📄 “Smart Post-Chemotherapy Care: IoT and AI-based Monitoring System for Breast Cancer Patients” – Submitted in 2024,
📘 “Telemedicine in Hypertension Management During COVID-19” – Systematic Review, Published in 2021, Cited by: 12
🎤 Congress Presentations – Years: 2021–2024, Presented in: Tehran, Shiraz, Hormozgan, Mashhad 🌍🎓
🧪 Topics – VR in surgery 🎮, OCT for CVD 🫀, ML in PCO 🧬, Hodgkin’s & Osteosarcoma 🧫,