Aaron Y. Lee, MD, MSCI, explains how temporal optical coherence tomography modeling may improve longitudinal disease tracking and clinical decision-making.
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
New Scientist on MSN
Specific cognitive training has 'astonishing' effect on dementia risk
A type of cognitive training that tests people's quick recall seems to reduce the risk of dementia, including Alzheimer's disease ...
A new study shows early specialization boosts short-term success but limits long-term excellence. Range, not early focus, ...
The barrage of misinformation in the field of health care is persistent and growing. The advent of artificial intelligence (AI) and large language models (LLMs) in health care has expedited the ...
The global spread of health misinformation is endangering public health, from false information about vaccinations to the peddling of unproven and potentially dangerous cancer treatments.1,2 The ...
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