ChatGPT fails at heart risk assessment
In a study involving thousands of simulated cases of patients with chest pain, ChatGPT provided inconsistent conclusions, returning different heart risk assessment levels for the exact same patient data.
In a study involving thousands of simulated cases of patients with chest pain, ChatGPT provided inconsistent conclusions, returning different heart risk assessment levels for the exact same patient data.
Now a new study, being presented at this year's ESCMID Global Congress (formerly ECCMID) in Barcelona, Spain (27-30 April), which pitted ChatGPT against the ESCMID guideline for the management of brain abscesses,
Researchers from Drexel University’s Creativity Research Lab developed an artificial intelligence (AI) technique that can effectively estimate an individual’s brain age based on electroencephalogram (EEG) brain scans.
Errors in radiology reports may occur due to resident-to-attending discrepancies, speech recognition inaccuracies and high workload. Large language models, such as GPT-4, have the potential to enhance the report generation process.