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Health informatics news

Health informatics

From AI to wearables: WHO outlines global plan for digital health tools

Make way for digital health. Smart watches and health apps aren't just for fitness enthusiasts and people with access to advanced care—the World Health Organization (WHO) is looking to these and other digital tech devices ...

Medical economics

America doesn't have enough hospital beds. This could help

Every day, across the nation, patients wait hours or days in emergency departments until a bed opens up for them in the hospital.

Health informatics

Ethics roadmap guides responsible AI integration in intensive care

Delirium is a common but often undiagnosed condition in intensive care unit (ICU) patients. To improve early detection, a transdisciplinary team has developed an artificial intelligence (AI) tool that analyzes facial expressions ...

Oncology & Cancer

Major treatment overhauls for acute myeloid leukemia

A new generation of targeted treatments and gentler chemotherapy options for older adults with a new diagnosis of acute myeloid leukemia (AML) is driving better survival and cure rates.

Health

PathGen: New AI-powered outbreak intelligence tool

Asia Pathogen Genomics Initiative (Asia PGI) has offered the first public preview of PathGen, an AI-powered sense-making and decision-making support platform for pathogen genomics and contextual data.

Diseases, Conditions, Syndromes

AI tools poised to transform global TB detection

Researchers have unveiled new AI tools, from smartphone cough analysis to child-friendly screening systems, which could transform how tuberculosis is detected, monitored and prevented.

HIV & AIDS

New guideline on pre-exposure and postexposure HIV prevention

Multiple pre-exposure (PrEP) and postexposure (PEP) treatments are now available to prevent HIV infection. An updated Canadian guideline published in CMAJ (Canadian Medical Association Journal) contains 31 recommendations ...

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 ...