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New approach can advance medical AI algorithms, reduce risks to patient privacy


New approach can advance medical AI algorithms, reduce risks to patient privacy
Within the field of artificial intelligence (AI), deep learning is an area of rapid and high-impact innovation in the healthcare industry.
Being able to successfully train computers to perform medical tasks has extraordinary potential to improve patient care, increase access, and reduce costs. Researchers at UCLA have already developed AI systems that have had significant value in helping physicians more accurately detect cancers.
However, one major challenge in developing high-quality AI algorithms is the availability of data and patient privacy. Sharing medical data, even de-identified medical data, may pose some risk to the privacy of patients, and protecting patient privacy is one of the main ethical directives of the medical profession. ....

Karthik Sarma , Corey Arnold , Emily Henderson , Computational Diagnostics Lab , Scientist Training Program , David Geffen School Of Medicine , Jonsson Comprehensive Cancer Center , David Geffen School , Comprehensive Cancer Center , Caltech Medical Scientist Training Program , Artificial Intelligence , Deep Learning , Health Care , கார்த்திக் சர்மா , கோரி அர்னால்ட் , எமிலி ஹென்டர்சன் , கணக்கீட்டு பரிசோதனை ஆய்வகம் , விஞ்ஞானி பயிற்சி ப்ரோக்ர்யாம் , டேவிட் கெஃப்ஃபெந் பள்ளி ஆஃப் மருந்து , ஜான்சன் விரிவான புற்றுநோய் மையம் , டேவிட் கெஃப்ஃபெந் பள்ளி , விரிவான புற்றுநோய் மையம் , கால்டெக் மருத்துவ விஞ்ஞானி பயிற்சி ப்ரோக்ர்யாம் , செயற்கை உளவுத்துறை , ஆழமான கற்றல் , ஆரோக்கியம் பராமரிப்பு ,