Overreliance on AI risks eroding new and future doctors’ critical thinking 🤔 while reinforcing existing bias ⚖️. GenAI tools are already being widely used amid few institutional policies 📜 and regulatory guidance.
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#AIinHealthcare #CriticalThinking #FutureDoctors #BiasInAI #HealthTechEthics
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#AIinHealthcare #CriticalThinking #FutureDoctors #BiasInAI #HealthTechEthics
BMJ Group - Helping doctors make better decisions
Overreliance on AI risks eroding new and future doctors’ critical thinking while reinforcing existing bias
Tools already widely used amid few institutional policies and regulatory guidance Medical education must adjust curricula + training to mitigate risks, warn experts Overreliance on generative AI risks eroding new and future doctors’ critical thinking skills…
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New AI models still reproduce racial and gender stereotypes in medicine
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#AIinMedicine #BiasInAI #HealthTechEthics
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#AIinMedicine #BiasInAI #HealthTechEthics
News
New AI models still reproduce racial and gender stereotypes in medicine
Relying on Artificial Intelligence (AI) in health care also carries a risk that existing racial and gender stereotypes will be reflected in the medical content it […]
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Study raises concerns about AI health-prediction models trained on unreliable datasets. The datasets were found to have been used in 125 peer-reviewed studies, despite providing almost no information about where the data came from, how it was collected or whether it represented real patients
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#AIPatientSafety #DatasetTransparency #HealthTechEthics
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#AIPatientSafety #DatasetTransparency #HealthTechEthics
QUT
Study raises concerns about AI health-prediction models trained on unreliable datasets
Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, according to new research.
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