MedInsight Lab
Research Field
Dr. Alex PA. Nguyen is a scholar known for his research in medical imaging and the application of artificial intelligence (AI) in healthcare. His work focuses on the use of AI to enhance diagnostic accuracy and efficiency in radiology, particularly in neuroimaging and oncology. Dr. Nguyen's research integrates advanced machine learning techniques, such as deep learning, to improve image analysis, predictive modeling, and personalized medicine. He has contributed to numerous high-impact publications and actively collaborates with interdisciplinary teams to drive innovation in medical technology.
MedInsights Lab is a pioneering research lab dedicated to advancing and applying machine learning and artificial intelligence in the field of medicine. Our mission is to provide evidence-based medical solutions through innovative technology to enhance diagnosis, treatment, and health management. MedInsights Lab actively collaborates with healthcare professionals, data scientists, and medical institutions to explore new opportunities in AI applications, aiming to make impactful strides in personalized and precision medicine.
Committed to delivering valuable insights and practical applications, MedInsights Lab strives to improve patients' quality of life and drive advancements in the healthcare industry.
- Medical Informatics; Data mining; Machine Learning; Predictive Analytics and Modeling; Clinical Decision Support (CDS)
- Drug Discovery; Clinical Research; Patient Safety
- Health Information Management; Health Information Exchange (HIE)
- System/Application Design and Development/System Architecture
- 2022, 2024 - Board Member Taiwan Observational Health Data Sciences and Informatics Society
- Ph.D., Institute of Biomedical Informatics, National Yang-Ming University
- B.S. , Information Technology Dept., Hanoi Open University, Vietnam
2 Vacancies
Job Description
Key Responsibilities:
- Collaborate with a team of researchers to develop, implement, and optimize deep learning models for clinical data + medical imaging applications.
- Analyze and process complex clinical and medical imaging data to improve model accuracy and reliability.
- Stay updated with the latest advancements in the fields of machine learning, deep learning, and computer vision.
- Implement algorithms and conduct tests using programming tools such as Python and OpenCV.
- Document and present findings to the research team, offering suggestions for improvements.
Benefits:
This internship presents a unique opportunity to engage in groundbreaking projects in the field of medical AI. Interns will contribute to the development of innovative models and applications that enhance diagnostic processes, improve clinical decision-making, and advance patient care. Join us to be at the forefront of transforming healthcare through artificial intelligence.
- Opportunity to work on cutting-edge research with real-world implications.
- Access to state-of-the-art equipment and software.
- A collaborative work environment with experts in the field.
- Other benefits like stipends, networking opportunities, certificates, etc.
Preferred Intern Education Level
Pursuing or completing a bachelor’s, master’s, and/or Ph.D. student in Computer Science, Medicine, Biomedical Engineering, or a related field.
Skill sets or Qualities
- Solid understanding of biostatistics, machine learning, deep learning, and computer vision concepts.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with different databases, medical imaging data formats, and challenges is a plus.
- Strong analytical and problem-solving skills.
- Effective communication skills, both written and verbal.
- Prior research or project experience in related fields.