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Agenda for Computers in Perinatal Medicine meeting 2002

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Dr Shraga Rottem from Ironfan<br />

Institute, Columbia Univ, NY Center<br />

presented AI based early pregnancy<br />

diagnostic algorhytm to detect fetal<br />

abnormalities by sonography. AI <strong>for</strong><br />

First Trimester Genetic Mapp<strong>in</strong>g by<br />

Ultrasound is designed to help<br />

physician correctly diagnose fetal<br />

abnormalities.<br />

Computer assisted simulation of<br />

emergency conditions <strong>in</strong> labor room was<br />

presented by group of Dr Ariel Many, MD<br />

Lis Hospital, Tel Aviv, Israel.<br />

Specific obstetrical situations can be<br />

dealt with more effectively if studied <strong>in</strong><br />

simulation enviroment.<br />

Integration of Research and Cl<strong>in</strong>ical In<strong>for</strong>mation<br />

Systems <strong>in</strong> OB/GYN was presented by Dr Sean<br />

Blackwell from Wayne State Univ, MI. His<br />

group has developed computer system<br />

designed <strong>for</strong> the needs of the active Ob/Gyn<br />

department. Image management, patient’s<br />

documentation, medical research and other data<br />

are <strong>in</strong>tegrated <strong>in</strong> one system.<br />

In<strong>for</strong>matics and Beyond, was a topic of the<br />

presentation of Dr Emily Hamilton, from<br />

McGill Univ. QE, Canada. Dr Hamilton has<br />

developed computer system that can<br />

monitor and help <strong>in</strong> mak<strong>in</strong>g correct<br />

decisions <strong>in</strong> manag<strong>in</strong>g obstetrical<br />

situationsmore efficiently.

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