To advance their precision medicine research, Washington University School of Medicine has adopted artificial intelligence-based natural language processing tools to assist in sorting their...
A recent study by Kaiser Permanente demonstrated the value of natural language processing (NLP) technology with clinicians identifying more than 50,000 patients with aortic stenosis, a common heart...
In their recent performance report, Data and Analytics Platforms 2021, KLAS Research evaluated vendors with broad analytics offerings and allowed them to identify their deepest platform...
Rush University Medical Center researchers conducted a study using machine learning to determine bias within natural language processing (NLP) regarding opioid misuse classifiers.
Over the last 20...
To understand the relationship between pre-existing conditions and complications of COVID-19 infection, researchers are using natural language processing (NLP) to sift through unstructured EHR...
Realyze Intelligence, a company launched recently by The University of Pittsburgh Schools of the Health Sciences (UPMC), will use natural language processing and artificial intelligence to pinpoint...
Using machine learning, researchers found that people’s biases about COVID-19 and its treatments are exacerbated when they read tweets from other users, a study published in JMIR showed.
The...
Throughout the era of COVID-19, it’s become apparent that the only constant is change. The crisis continues to rapidly evolve, with updated guidelines and fluctuating case numbers,...
Natural language processing tools can analyze pathology reports and identify individuals with HPV-related cancers, improving disease surveillance and treatment, according to a study published in JMIR...
Patient safety, data privacy, and health equity are key considerations for the use of chatbots powered by artificial intelligence in healthcare, according to a viewpoint piece published in JAMA.
With...
In the healthcare industry today, it is widely understood that optimal health outcomes require addressing patients’ clinical and non-clinical needs – their social determinants of...
A team from Penn Medicine has shown that public health officials can use natural language processing techniques to track surges in interest in COVID-19 topics on online forums, such as Reddit.
For...
To aid COVID-19 research efforts, NVIDIA has developed new artificial intelligence models, genomic sequencing software, and speech recognition technologies for the medical community.
For more...
The rapid, global spread of COVID-19 has brought advanced big data analytics tools front and center, with entities from all sectors of the healthcare industry seeking to monitor and reduce the impact...
Across the healthcare landscape, it is now widely understood that the social determinants of health (SDOH) have a major impact on health outcomes, care quality, and medical costs.
An...
Using structured and unstructured EHR data, machine learning algorithms could accurately identify patients at risk of developing Alzheimer’s disease and related dementias.
At least 50 percent of...
Mayo Clinic has announced the Clinical Data Analytics Platform as the first venture under the Mayo Clinic Platform, an initiative to use insights and knowledge extracted from data to improve healthcare...
Providers are inundated with large amounts of data that is daunting to comb through to find actionable outcomes.
Artificial intelligence (AI) technology is frequently seen as the solution to...
A machine learning algorithm analyzed EHR data to estimate the risk that a healthy person will receive a dementia diagnosis in the future, a study published in the journal Alzheimer’s and...
Machine learning tools could analyze conversations between providers and patients about palliative care, leading to improved communication around serious illness and end-of-life treatment, according to...