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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 ...

Psychology & Psychiatry

App helps alleviate mental health symptoms in bereaved parents

A new study shows that an app can help parents who are mourning the loss of a child. Parents who used the app for three months reported reduced symptoms of prolonged grief and post-traumatic stress, and also had fewer negative ...

Pediatrics

AI performs well in identifying infantile epileptic spasms

Deep learning analysis can be used to detect epileptic spasms (ES) from smartphone home videos of young children, according to a study presented at the annual meeting of the American Epilepsy Society, held from Dec. 6 to ...

Oncology & Cancer

Machine learning model predicts breast cancer treatment response

A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with hormone receptor (HR)-positive, HER2-negative ...

Health informatics

Clinicians' phones a cybersecurity risk, says study

A new study led by Dr. Tafheem Wani, a La Trobe lecturer in Digital Health Information Management, showed that clinicians' phones (and other digital devices) contained sensitive patient information, which was not often protected ...

Health informatics

Proteomics and AI unite for a new era in medicine and health care

Children's Medical Research Institute (CMRI) scientists are part of an ambitious new program that aims to use a combination of proteomics and AI to contribute to a new era of medicine and intelligent health care. To succeed, ...

Health informatics

App creates time-lapse videos of the body for telemedicine

A new app developed by Cornell researchers helps users record highly accurate time-lapse videos of body parts—a surprisingly difficult task and an unmet need in remote medicine and telehealth applications.

Diseases, Conditions, Syndromes

Study shows deep learning model accurately diagnoses COPD

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published in Radiology: Cardiothoracic Imaging.

Radiology & Imaging

AI thought knee X-rays show if you drink beer—they don't

Artificial intelligence can be a useful tool to health care professionals and researchers when it comes to interpreting diagnostic images. Where a radiologist can identify fractures and other abnormalities from an X-ray, ...