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Volume 7, Issue 5 (Suppl)

J Health Med Inform

ISSN: 2157-7420 JHMI, an open access journal

Medical Informatics 2016

October 6-7, 2016

October 6-7, 2016 | London, UK

International Conference on

Medical Informatics & Telehealth

TMJSIM - AID SIMULATOR AT DIAGNOSIS, PRE-SURGICAL PLANNING AND MONITORING OF

BUCOMAXILOFACIAL TREATMENT

Marta Becker Villamil

and

Eduardo Garcia

University of do Vale do Rio dos Sinos, Brazil

edical simulators have been helping to teach therapeutic and diagnostic procedures as well as the representation of medical

concepts and in the process of decision of health professionals.Use of jawmotion simulators in dentistry, education, orthodontic

adjustment of occlusions, or in the pre-operative planning of craniofacial surgery can be extremely useful, improving diagnosis

and postoperative treatment. This article presents TMJsim, a simulator of mandibular motion constructed from real data coming

from Computed Tomography and Magnetic Resonance images. A virtual joint model which composes the simulator receives points

captured from the lower incisor point motion. Contribution of each muscle in temporomandibular movement is approached from

the Hill actuators model and the concept of curves of insertion. Virtual Articulator is replacing mechanical articulators currently

used with many advantages: more accurate simulation of motion, inclusion of new parameters such as muscle strength and it shows

graphics for motion curve analysis.

MEDICAL INFORMATICS IN THE ERA OF TRENDY DATA DISCIPLINES

Masoumeh Izadi

TVCONAL Content Analytics, Singapore

istorically, medical/health informatics have emerged from the desire to use digital resources in order to make healthcare systems

more efficient and to make improvements to the health of individuals and of the population. Many industries, including health,

have seen huge increases in the volume and variety of data available to them in recent years. In response, new disciplines have arisen

to take full advantage of these new data resources. While there is a partial overlap between the scope of medical informatics and

trendy disciplines such as big data, data mining, data science, and machine learning, it is natural to ask where medical informatics

stands in this era. In this talk, we review the distinctive roles that each data discipline has played in current accomplishments in

medical informatics. As the increase in magnitude and richness of health data often translates to evolving needs, we discuss the need

to develop smarter tools that make full use of the health-related data. We also outline what the next chapter of innovations should

contain for data disciplines to thrive as medical informatics application domain grows.

J Health Med Informat 2016, 7:5 (Suppl)