Digital Health
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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.
Prashant Warier & Dr. Saurabh Jha discuss AI as a diagnostic tool globally, including their own experience with AI in Nepal.
The study revealed that counties with the highest broadband access had the most robust healthcare system.
There is an awareness gap surrounding heart health, leading to it being overlooked as a significant women's health concern.
Alina Czekai, MPH, talks to Urban Health Today about Improving Patient Care Access through Enhanced Prior Authorization.
The European Commission has developed ethical guidelines for AI in healthcare, emphasizing the importance of avoiding bias...
AI tool can correctly diagnose medical scans but still needs more training to perform at the same level as a Radiologist.
Contrary to previous beliefs, telehealth delivers mental health services effectively.
Combining Artificial intelligence with data may help improve patient care and outcomes and predict burnout for ...
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