BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260820T103052Z
UID:BF002170-4AF2-4F1C-8846-1125F5ED38B2
DTSTART;TZID=Asia/Kolkata:20260904T190000
DTEND;TZID=Asia/Kolkata:20260904T200000
DESCRIPTION:Integrating data-driven intelligence into mental healthcare rep
 resents a pivotal shift from subjective observation to objective\, non-inv
 asive diagnostic precision. By leveraging multimodal signal processing and
  machine learning\, my research focuses on extracting clinically relevant 
 biomarkers from complex datasets—such as retinal imaging — to enhance 
 early detection and longitudinal monitoring. At the HAI Conclave 2026\, I 
 will discuss how these computational frameworks can be optimized for clini
 cal interpretation\, transforming mental health assessment from a reactive
  process into a proactive\, personalized intervention strategy. This appro
 ach not only improves diagnostic accuracy for diverse populations but also
  establishes a scalable foundation for accessible healthcare through techn
 ology-mediated intelligence.\n\nSpeaker(s): Dr. Abhishek Appaji\, \n\nVirt
 ual: https://events.vtools.ieee.org/m/573496
LOCATION:Virtual: https://events.vtools.ieee.org/m/573496
ORGANIZER:amiya87@gmail.com
SEQUENCE:8
SUMMARY:AI in Diagnostics: Transforming Mental Health Assessment Through Da
 ta‑Driven Intelligence
URL;VALUE=URI:https://events.vtools.ieee.org/m/573496
X-ALT-DESC:Description: <br /><p>Integrating data-driven intelligence into 
 mental healthcare represents a pivotal shift from subjective observation t
 o objective\, non-invasive diagnostic precision. By leveraging multimodal 
 signal processing and machine learning\, my research focuses on extracting
  clinically relevant biomarkers from complex datasets&mdash\;such as retin
 al imaging &mdash\; to enhance early detection and longitudinal monitoring
 . At the HAI Conclave 2026\, I will discuss how these computational framew
 orks can be optimized for clinical interpretation\, transforming mental he
 alth assessment from a reactive process into a proactive\, personalized in
 tervention strategy. This approach not only improves diagnostic accuracy f
 or diverse populations but also establishes a scalable foundation for acce
 ssible healthcare through technology-mediated intelligence.</p>
END:VEVENT
END:VCALENDAR