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Artificial intelligence outperforms clinical tests at predicting progress of Alzheimer's disease

ScienceDaily

Scientists have developed an artificially-intelligent tool capable of predicting in four cases out of five whether people with early signs of dementia will remain stable or develop Alzheimer's disease.

Disease 137
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COVID-19 set back Alzheimer’s disease research

AuntMinnie

Alzheimer’s disease (AD) research centers saw a 77% drop in participants enrolling in clinical trials due to the COVID-19 pandemic, according to a study conducted by epidemiologists at the University of Pittsburgh. Few recruitment approaches have been directly tested via intervention trials at Alzheimer’s disease centers, they added.

Disease 138
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PET reveals patient responses to new Alzheimer’s disease drug

AuntMinnie

Patients with less tau pathology on PET scans may respond better to treatment with the new Alzheimer’s disease drug donanemab, according to an October 25 news report in the journal Practical Neurology. Research suggests that the accumulation of these proteins is a continuous process that starts decades before the onset of symptoms.

Disease 119
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Interstitial lung abnormalities linked to respiratory disease risk

AuntMinnie

CT imaging shows that severe acute respiratory disease events can be caused by quantitative interstitial abnormalities (QIA) -- that is, small irregularities that don't necessarily meet diagnostic criteria for advanced pulmonary diseases but show up on CT exams over time, a study published April 30 in Radiology has reported.

Disease 111
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Ultrasound model predicts liver disease progress

AuntMinnie

A predictive model combining multiple ultrasonic parameters could discriminate between different liver diseases in a study published March 19 in Radiology. These findings are important for noninvasive assessment of the MAFLD disease process,” the Liu team wrote. The results have been promising when compared to liver biopsy.

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AI boosts CTPA's ability to predict lung disease survival

AuntMinnie

The percentage of lung fibrosis quantified on CT pulmonary angiograms (CTPA) by an AI model is associated with increased risk of mortality -- and boosts clinicians' ability to predict the survival of lung disease patients, researchers have found. The results were published February 6 in Radiology. Images courtesy of the RSNA. "[We

Disease 116
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ChatGPT outperforms clinicians in post-negative test disease probability

AuntMinnie

ChatGPT-4 outperformed human clinicians in determining pretest and post-test disease probability after a negative test result involving chest radiographs and mammograms, according to a research letter published December 11 in JAMA Network Open.

Disease 126