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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
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DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20251121T144745Z
UID:D9E91D85-5395-473C-AC9F-465364F81B9B
DTSTART;TZID=Asia/Kolkata:20251121T190000
DTEND;TZID=Asia/Kolkata:20251121T200000
DESCRIPTION:Computer vision is becoming an essential part of modern healthc
 are\, helping clinicians work faster and make more informed decisions. It 
 supports automated analysis of medical images such as X-rays\, CT scans\, 
 MRIs and retinal images\, improving early detection of diseases and reduci
 ng diagnostic errors. It also enables real-time monitoring in critical car
 e through video-based vital-sign estimation\, movement tracking and fall d
 etection. In surgical settings\, computer vision assists with navigation\,
  instrument recognition and workflow analysis\, leading to safer and more 
 precise procedures. Combined with advances in deep learning\, these system
 s continue to expand opportunities for personalized care\, early intervent
 ion and efficient clinical workflows.\n\nSpeaker(s): Dr. Sandeep Kumar Sat
 apathy\, \n\nVirtual: https://events.vtools.ieee.org/m/514710
LOCATION:Virtual: https://events.vtools.ieee.org/m/514710
ORGANIZER:amiya87@gmail.com
SEQUENCE:14
SUMMARY: Computer Vision Application in Healthcare
URL;VALUE=URI:https://events.vtools.ieee.org/m/514710
X-ALT-DESC:Description: <br /><p>Computer vision is becoming an essential p
 art of modern healthcare\, helping clinicians work faster and make more in
 formed decisions. It supports automated analysis of medical images such as
  X-rays\, CT scans\, MRIs and retinal images\, improving early detection o
 f diseases and reducing diagnostic errors. It also enables real-time monit
 oring in critical care through video-based vital-sign estimation\, movemen
 t tracking and fall detection. In surgical settings\, computer vision assi
 sts with navigation\, instrument recognition and workflow analysis\, leadi
 ng to safer and more precise procedures. Combined with advances in deep le
 arning\, these systems continue to expand opportunities for personalized c
 are\, early intervention and efficient clinical workflows.</p>
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