About

The Department of Medical Informatics at MUMS.

Established in 2009, Department of Medical Informatics at MUMS is the first academic department in Asia (and Iran) that is solely dedicated to academic research in medical informatics. Our faculty members and graduate students primarily engage in technology-based interventions aimed at improving healthcare practices.

 

 

 

Research Areas 


 Computer games and virtual reality systems for healthcare

The current standard clinical practice for diagnosis, treatment, and prognosis of different types of disease is often based on visual and physical examination of the patient. This can be the source of human error and subjective reported measurements of disease signs and symptoms. The goal of this topic of research is to use computer games and virtual reality systems to achieve more objective, repeatable biomarkers and solutions, which can be used as diagnostic and therapeutic decision support systems. These systems can be applied in clinical practice in areas such as neurology, physical medicine, as well as obstetrics and gynecology training.

Related Publications :

  • Mostafavi SM, Mousavi P, Dukelow SP, Scott SH. (2015) Robot-based assessment of motor and proprioceptive function identifies biomarkers for prediction of functional independence measures. Journal of NeuroEngineering and Rehabilitation. 12(1):105. (PMID: 26611144) (DOI: 10.1186/s12984-015-0104-7)

 

 

 
 Machine learning for clinical applications

The earliest applications of artificial intelligence for medical diagnosis dates back to the development of de Dombal’s system for acute abdominal pain diagnosis in the late 1960s. Thus far, research in this area has come a long path to find its way into everyday clinical practice. Generally speaking, the goal of this area of research is to mimic human clinical behavior by using existing patterns and performance to make accurate diagnostic and therapeutic predictions about unknown future cases. This can have applications in a broad array of clinical disciplines including dermatology, cardiology and medical imaging.

Related Publications :

  • Mostafavi SM, Mostafavi SM, Scott SH, Dukelow SP, Mousavi P. (2017) Reduction of Assessment Time for Stroke-Related Impairments Using Robotic Evaluation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(7):945-955(DOI: 10.1109/TNSRE.2017.2669986)

 

 

 
 Clinical Decision Support Systems & Decision Aids

The earliest applications of artificial intelligence for medical diagnosis dates back to the development of de Dombal’s system for acute abdominal pain diagnosis in the late 1960s. Thus far, research in this area has come a long path to find its way into everyday clinical practice. Generally speaking, the goal of this area of research is to mimic human clinical behavior by using existing patterns and performance to make accurate diagnostic and therapeutic predictions about unknown future cases. This can have applications in a broad array of clinical disciplines including dermatology, cardiology and medical imaging.

Related Publications :

  • Nabovati E, Vakili-Arki H, Taherzadeh Z, Saberi MR, Medlock S, Abu-Hanna A, et al. Information technology-based interventions to improve drug-drug interaction outcomes: a systematic review on features and effects. Journal of medical systems. 2017;41(1):12.
  • Ghasemi S, Etminani K, Dehghan H, Eslami S, Hasibian M, Vakili HA, et al. Design and Evaluation of a Smart Medication Recommendation System for the Electronic Prescription. Studies in health technology and informatics. 2019;260:128-35.

 

 

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