Digital Health
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A team trained a deep learning pose-recognition algorithm on video of infants in the NICU to identify key neurologic metrics.
Despite the recent advancements in artificial intelligence in medicine, it has yet to reduce physician workload and burnout.
may be at risk if their phone settings change following updates to software or hardware
“AI can offer a new paradigm in how we deliver IVF treatment and could lead to better outcomes for patients.”
For years, the industry has used machine learning — a form of AI — to predict which patients are most likely to have a ...
Dr. Von Nguyen on the Use of AI in Medicine.
Dr. Von Nguyen, Chief Clinical Officer at Evolent, discusses the use of AI and technology in medicine and population health.
In this analysis, the model performed best for predicting survival Asian patients and worst for Non-Hispanic Black patients.
Early detection of Alzheimer’s disease is important because it is when treatment is most effective.
Dr. Shamith Samarajiwa and his team developed a tool capable of identifying 13 cancer types, including breast, liver
According to the survey, 84.8% of US oncologists reported that they should be able to explain AI to use it.
The algorithm is a prediction model that pulls data such as vital signs, information from electronic health records and labs.
Assessing the rate of depression and anxiety using artificial intelligence (AI) and social media may produce more reliable
Sexual minority adults show greater willingness to use digital health tools for screening and tracking than heterosexuals
To assess physician productivity, the researchers quantified and evaluated physicians' work using work relative value units
Adults who participated in a health-based videoconference series had decreased sedentary time.
Deep learning, an AI tool can improve the detection of patients with asthma and COPD at increased risk for hospitalizations.
Marginalized populations tend to use drop-in care at higher rates than other populations.
Studies have shown that diabetic retinopathy can be prevented with screening and early detection.
The adoption of digital tools for those 65 and older has grown considerably since COVID-19.
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