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How federated learning can ensure the success of healthcare AI
The successful development of AI will require an effective solution to the challenge of accessing large volumes of clinically relevant data from diverse groups of patients.
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Penn State AI can help assess patient satisfaction
Among other things, patient satisfaction can determine the probability of a patient coming back for further care, the likelihood of following discharge instructions and overall health conditions.
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How AI can help in the battle against MS
MS continues to be a difficult disease to diagnose and treat, says a team of stakeholders, but AI solutions are available for new MS drug development and subsequent commercialization.
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Cancer detection efforts get boost from new algorithm
Accurate estimation of the malignancy risk of pulmonary nodules is crucial for optimizing management in lung cancer screening, the researchers said.
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AI and X-rays team up to predict COVID outcomes
AI programs thrive when given more data to work with, and researchers are continuing to improve and update the program as new data becomes available.
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Researchers tap AI to develop brain-computer interface
The new tool enables people who are paralyzed or have severely impaired limb movement to communicate by text.
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Feds lay out cautions concerning AI bias
Research has highlighted how ostensibly “neutral” technology can produce troubling outcomes – including discrimination by race or other legally protected classes.
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Mass health system taps AI to help improve clinical outcomes
By investing in the necessary infrastructure early, one organization accelerated its adoption of AI by figuring out what's required for the technology to add overall organizational value.
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The AI doc will see you, if that’s OK with you
As the use of AI in health applications grows, healthcare providers are looking for ways to improve patients’ experience with their machine doctors.