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	2011-May-25, 7:39 PM
Picture a village in the lower part of the developed world where most births occur at home. Although the travel requirements are sometimes significant and cost, a certain percentage of higher-risk pregnancies, and deliveries should be done in the hospital. ultrasound imaging, of course, can help develop a routine pregnancy of high risk, but the ultrasound equipment may not be easily accessed by patients who would benefit from technology, especially patients in rural areas. But what if an ultrasound device itself is "more intelligent," and thus easier to use? Smart ultrasound could eventually allow a wider range of health care providers to perform an ultrasound scan and make far more accessible in areas where health services and limited technology. Developing intelligent ultrasound will become the first task at hand for the new Electronic Device GE Medical Center Realization (MEDRC), an alliance partnership with The Massachusetts Institute of Technology (MIT) and Analog Devices. That part of the drive Healthymagination GE to reach more patients with better health care globally. "A radical change occurred in how medical care is being delivered, with shipments moving 'point of care for patients than having to travel to the doctor's office or hospital," said Charles Sodini, Lebel Professor of Electrical Engineering at MIT and co-founder MEDRC. The new center will play an important role in this shift to the point of care diagnostics. MIT Professor Brian W. Anthony will lead the team, which will include graduate student Matthew Gilbertson, and Shih-Yu Sun. One promising way they would explore the engineering tools to assist clinicians in determining the amount of pressure to apply to the patient's body with the probe. Another important goal for ultrasound research and development is to build new clinical applications, such as cancer diagnosis. But intelligent ultrasound MEDRC only the first step, which will seek a breakthrough in electronic medical, diagnostic tools and treatments, and technologies that enable more systems-based health information.
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