BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Karachi
BEGIN:STANDARD
DTSTART:20091031T230000
TZOFFSETFROM:+0600
TZOFFSETTO:+0500
TZNAME:PKT
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250813T075130Z
UID:D46E220B-30EC-4C1A-9BA2-CA8282EEDB11
DTSTART;TZID=Asia/Karachi:20250422T110000
DTEND;TZID=Asia/Karachi:20250422T130000
DESCRIPTION:This event explores the role of Artificial Intelligence (AI) in
  early lung disease detection and risk assessment. It aims to highlight ho
 w AI-driven solutions enhance medical imaging\, assist in accurate lung no
 dule detection\, and improve patient outcomes. The session will bring toge
 ther healthcare professionals\, AI researchers\, and industry experts to d
 iscuss the latest advancements\, ethical considerations\, and future prosp
 ects of AI in healthcare. Through expert talks\, panel discussions\, and t
 echnical demonstrations\, attendees will gain valuable insights into AI’
 s transformative impact on radiology and early lung cancer detection.\n\nS
 peaker(s): \, Furqan Shoukat\n\nAgenda: \nThe event will begin with a 'wel
 come and opening remarks'\, introducing the objectives and significance of
  AI in lung nodule detection. This will be followed by a 'keynote speech' 
 from an industry expert\, providing insights into the latest advancements 
 in AI-driven risk stratification for lung diseases. A 'technical presentat
 ion' will then showcase AI-powered diagnostic tools and their real-world a
 pplications in radiology.\n\nNext\, a 'panel discussion' will bring togeth
 er experts to explore the impact of AI in healthcare\, addressing key chal
 lenges such as data privacy\, accuracy\, and clinical integration. Attende
 es will have the opportunity to engage in a 'Q&A session'\, allowing them 
 to ask questions and gain deeper insights from the speakers. The event wil
 l conclude with 'networking and closing remarks'\, summarizing key takeawa
 ys and fostering collaborations among professionals\, researchers\, and in
 dustry stakeholders.\n\nConference room\, EED Department \, Taxila\, Punja
 b\, Pakistan
LOCATION:Conference room\, EED Department \, Taxila\, Punjab\, Pakistan
ORGANIZER:laibanisar24@ieee.org
SEQUENCE:25
SUMMARY:Advancing Healthcare with AI – Lung Nodule Detection & Risk Strat
 ification
URL;VALUE=URI:https://events.vtools.ieee.org/m/478889
X-ALT-DESC:Description: <br /><p>This event explores the role of Artificial
  Intelligence (AI) in early lung disease detection and risk assessment. It
  aims to highlight how AI-driven solutions enhance medical imaging\, assis
 t in accurate lung nodule detection\, and improve patient outcomes. The se
 ssion will bring together healthcare professionals\, AI researchers\, and 
 industry experts to discuss the latest advancements\, ethical consideratio
 ns\, and future prospects of AI in healthcare. Through expert talks\, pane
 l discussions\, and technical demonstrations\, attendees will gain valuabl
 e insights into AI&rsquo\;s transformative impact on radiology and early l
 ung cancer detection.</p><br /><br />Agenda: <br /><p>The event will begin
  with a 'welcome and opening remarks'\, introducing the objectives and sig
 nificance of AI in lung nodule detection. This will be followed by a 'keyn
 ote speech' from an industry expert\, providing insights into the latest a
 dvancements in AI-driven risk stratification for lung diseases. A 'technic
 al presentation' will then showcase AI-powered diagnostic tools and their 
 real-world applications in radiology.&nbsp\;&nbsp\;</p>\n<p>Next\, a 'pane
 l discussion' will bring together experts to explore the impact of AI in h
 ealthcare\, addressing key challenges such as data privacy\, accuracy\, an
 d clinical integration. Attendees will have the opportunity to engage in a
  'Q&amp\;A session'\, allowing them to ask questions and gain deeper insig
 hts from the speakers. The event will conclude with 'networking and closin
 g remarks'\, summarizing key takeaways and fostering collaborations among 
 professionals\, researchers\, and industry stakeholders.</p>
END:VEVENT
END:VCALENDAR