Last update:

Health informatics news

Diseases, Conditions, Syndromes

Guiding epidemic interventions through a fog of noisy data

Imperial College London's Department of Infectious Disease Epidemiology reports a model-predictive control approach that times non-pharmaceutical interventions from noisy real-time case data, generally achieving better control ...

Medications

Challenging negative data helps AI models better identify effective antibodies

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

Medical research

Old data can transform the future of health care

Patient preference studies (research into what patients value in their treatment) are increasingly used to inform drug development and regulatory approval decisions. But these studies are expensive and time-consuming to conduct. ...

Oncology & Cancer

Using deep learning for precision cancer therapy

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the treatment methods from which ...

Oncology & Cancer

AI matches dermatologists in assessing common skin cancer

A simple AI model has been shown to perform on a par with experienced dermatologists when assessing the aggressiveness of a common form of skin cancer, squamous cell carcinoma. The research was headed by the University of ...

Psychology & Psychiatry

AI tools fall short in predicting suicide, study finds

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk individuals for interventions, according to a new study published September ...

Alzheimer's disease & dementia

AI-powered eye scan predicts risk of cognitive decline and dementia

A new study led by researchers from the Yong Loo Lin School of Medicine at the National University of Singapore (NUS Medicine) has demonstrated that artificial intelligence (AI) analysis of retinal photographs can predict ...

Health informatics

Q&A: Transparency in medical AI systems is vital, researchers say

While debate rumbles about how generative artificial intelligence will change jobs, AI is already altering health care. AI systems are being used for everything from drug discovery to diagnostic tasks in radiology and clinical ...

Health informatics

AI tool assists doctors in sharing lab results

Stanford Medicine physicians have a new artificial intelligence tool to assist them when they message patients about test results. The technology drafts an interpretation of clinical test and lab results and explains them ...

Diseases, Conditions, Syndromes

AI analysis reveals four long COVID patient subgroups and needs

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may seem universal, ...

Psychology & Psychiatry

New AI model helps predict veteran suicide risk

U.S. Army veteran suicides can be predicted with "moderate to good accuracy" by applying artificial intelligence (AI) to data available before veterans leave service, according to a new study led by Chris J. Kennedy at Massachusetts ...

Medical economics

Pandemic 'exacerbated NHS struggle to meet demand'

NHS Scotland must treat at least 20% more non-emergency hospital cases over the next three years to eliminate the backlog caused by the COVID-19 pandemic, according to new analysis involving the University of Strathclyde.

Oncology & Cancer

Using AI to predict the outcome of aggressive skin cancers

Artificial intelligence can determine the course and severity of aggressive skin cancers, such as Merkel cell carcinoma (MCC), to enhance clinical decision making by generating personalized predictions of treatment-specific ...