Artificial intelligence can predict fatal heart attacks.
The new technology uses raw images of diseased hearts and patients’ medical backgrounds to determine if and when a heart attack will occur. The findings, published in Nature Cardiovascular Research, show that this algorithm is significantly more accurate in its predictions than medical doctors. (John Hopkins University)
A lack of patient diversity in Alzheimer’s research threatens accurate diagnosing in people of color.
A study published in Neurology shows how three experimental blood tests put black patients at a higher risk of misdiagnosis. Since most of the test’s data comes from white participants, the results are skewed to only notice bio markers that appear in that population. The paper’s lead author says it reveals the need for more patient diversity in Alzheimer’s research. (Washington University in St. Louis)
As the temperature rises, so do emergency room visits.
A paper published in Jama Psychiatry shows a correlation between extremely hot days and mental health crises. Many of the ER visits are related to childhood-onset behavioral and substance use disorders, as well as anxiety and stress. Future research aims to find strategies that help this population cope during days of extreme heat. (Boston University)
The post Medical Notes: How AI Is Preventing Heart Attacks, Why Alzheimer’s Research Needs More Patient Diversity; And Why Hot Weather Leads To More ER Visits appeared first on Radio Health Journal.
