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DTSTART;TZID=America/New_York:20261010T090000
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DESCRIPTION:This talk examines the growing divide between conversational AI
  systems and task-specific medical AI\, and why that distinction has becom
 e a critical clinical competency. As artificial intelligence moves from th
 e margins of healthcare into everyday clinical decision making\, many clin
 icians and administrators conflate chatbots with the specialized\, validat
 ed systems built for diagnostic support\, imaging analysis\, and risk stra
 tification. This talk traces the history of medical AI back to its origins
  in the nineteen fifties\, through decades of expert level image recogniti
 on systems\, to the current moment where fluent conversational tools domin
 ate public perception. The core argument is that clear\, confident languag
 e is not the same as sound clinical judgment\, and that chatbots are desig
 ned to sound authoritative whether or not they are correct\, while task-sp
 ecific medical systems are built\, trained\, and evaluated against a funda
 mentally different standard.\n\nAttendees will leave with a practical fram
 ework for distinguishing these system types\, understanding how each reach
 es its conclusions\, and applying core safety principles so that AI output
 s become prompts for further investigation rather than final answers accep
 ted at face value. The presentation is designed for clinicians\, health sy
 stem leaders\, and anyone responsible for evaluating or deploying AI tools
  in patient care settings.\n\nSpeaker(s): Dr. Toma\n\nVirtual: https://eve
 nts.vtools.ieee.org/m/580567
LOCATION:Virtual: https://events.vtools.ieee.org/m/580567
ORGANIZER:mtoma@nyit.edu
SEQUENCE:20
SUMMARY:Medical AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/580567
X-ALT-DESC:Description: <br /><p>This talk examines the growing divide betw
 een conversational AI systems and task-specific medical AI\, and why that 
 distinction has become a critical clinical competency. As artificial intel
 ligence moves from the margins of healthcare into everyday clinical decisi
 on making\, many clinicians and administrators conflate chatbots with the 
 specialized\, validated systems built for diagnostic support\, imaging ana
 lysis\, and risk stratification. This talk traces the history of medical A
 I back to its origins in the nineteen fifties\, through decades of expert 
 level image recognition systems\, to the current moment where fluent conve
 rsational tools dominate public perception. The core argument is that clea
 r\, confident language is not the same as sound clinical judgment\, and th
 at chatbots are designed to sound authoritative whether or not they are co
 rrect\, while task-specific medical systems are built\, trained\, and eval
 uated against a fundamentally different standard.</p>\n<p>Attendees will l
 eave with a practical framework for distinguishing these system types\, un
 derstanding how each reaches its conclusions\, and applying core safety pr
 inciples so that AI outputs become prompts for further investigation rathe
 r than final answers accepted at face value. The presentation is designed 
 for clinicians\, health system leaders\, and anyone responsible for evalua
 ting or deploying AI tools in patient care settings.</p>
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