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Breaking the ‘intellectual bottleneck’: How AI is computing the previously uncomputable in healthcare
How University of Texas Medical Branch is using AI to identify patients at high cardiovascular risk, flag for stroke and catch 'basic stuff.'
Whenever a patient gets a CT scan at the University of Texas Medical Branch(UTMB), the resulting images are automatically sent off to the cardiology department, analyzed by AI and assigned a cardiac risk score. To help prevent anchoring bias — where AI and humans rely too heavily on the first piece of information they encounter, thereby missing important details when making a decision — UTMB employs a “peer learning” technique. The system works as a co-pilot, automatically extracting all patient notes from the EHR and using Claude, GPT and Gemini to summarize and examine them before presenting assessments to staff.
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