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Health informatics news

Genetics

Polygenic score database updates increase diversity and usability of genetic data

Important new updates to the largest open database for polygenic scores, the Polygenic Score (PGS) Catalog, could help to generate more equitable disease risk predictions for a diverse range of ethnic backgrounds.

Health informatics

AI may enhance patient safety, say researchers

Generative artificial intelligence (genAI) uses hundreds of millions, sometimes billions, of data points to train itself to produce realistic and innovative outputs that can mimic human-created content. Its applications include ...

Oncology & Cancer

Saving time with AI-generated treatment plans for breast cancer

Drawing in the organs of individual breast cancer patients and then creating precise radiation plans appears to be faster by using artificial intelligence (AI) models. That way, it remains just as reliable and accurate. It ...

Oncology & Cancer

AI could predict breast cancer risk via 'zombie cells'

Women worldwide could see better treatment with new AI technology, which enables better detection of damaged cells and more precisely predicts the risk of getting breast cancer, shows new research from the University of Copenhagen.

Health informatics

Q&A: Should we label AI systems like we do prescription drugs?

AI systems are increasingly being deployed in safety-critical health care situations. Yet these models sometimes hallucinate incorrect information, make biased predictions, or fail for unexpected reasons, which could have ...

Psychology & Psychiatry

Social media posts may provide early warning of PTSD problems

Scientists have analyzed millions of tweets to identify COVID-19 survivors living with post-traumatic stress disorder (PTSD)—demonstrating the effectiveness of using social media data as a tool for early screening and intervention.

Parkinson's & Movement disorders

Wearable sensors, machine learning system could pinpoint Parkinson's

Parkinson's comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing their walking and movement ...

Health informatics

New software guards the public from airborne radiation

A software application developed by Los Alamos National Laboratory makes accurate, actionable information available after an unexpected airborne radiological release to help first responders, policymakers and health professionals ...

Medical economics

Q&A: Donor funding falls short for Africa's digital health

As African countries struggle with overburdened health care systems, limited resources, and an increasing prevalence of chronic diseases such as cancer, digital health innovations are essential.

Ophthalmology

AI model to improve clinical trial recruitment for eye disease

A new artificial intelligence (AI) system that could significantly reduce the time and cost required to recruit clinical trial patients for an advanced form of age-related vision loss has been developed by a team led by UCL ...

Oncology & Cancer

Improving advanced care planning for late-stage cancer

Multilevel care interventions improved clinician–documented advanced care planning (ACP) compared with a clinician-level intervention alone for patients with genitourinary cancer, according to findings published in JAMA ...

Medical economics

Unlocking innovation secrets in the smart medical industry

Smart medical is the product of the deep integration of the health care service industry and information technology. With the advent of new-generation information technologies such as artificial intelligence, big data and ...

Health informatics

2021 to 2022 saw decrease in telemedicine use in past 12 months

From 2021 to 2022, there was a decrease in the percentage of adults who used telemedicine in the past 12 months, according to the June 20 National Vital Statistics Reports, a publication from the National Center for Health ...

Oncology & Cancer

Study suggests AI may soon be able to detect cancer

A new paper in Biology Methods & Protocols indicates that it may soon be possible for doctors to use artificial intelligence (AI) to detect and diagnose cancer in patients, allowing for earlier treatment. Cancer remains one ...

Oncology & Cancer

Deep learning shows promise for soft tissue sarcoma management

Soft tissue sarcomas (STSs) represent a diverse group of tumors that pose significant diagnostic and therapeutic challenges. In a recent review published in the journal Meta-Radiology, a team of researchers from The Second ...

Health informatics

US government revises race, ethnicity data collection standards

The latest issue of the journal Health Equity features a pivotal roundtable discussion titled "Implications and Insights on Federal Revisions to Race and Ethnicity Collection." This roundtable assembles leading experts to ...

Diseases, Conditions, Syndromes

Customizable AI tool helps pathologists identify diseased cells

It's something nearly any pathologist would welcome: a personally trained assistant that can help them identify abnormal cells in blood samples and biopsies so they can more quickly and accurately diagnose cancer or other ...

Psychology & Psychiatry

Study shows AI can predict anxiety levels with picture tasks

Researchers at the University of Cincinnati developed a new form of artificial intelligence that uses a short picture rating task and a small set of contextual variables to predict whether someone is experiencing anxiety.

Parkinson's & Movement disorders

Blood test could predict Parkinson's seven years before symptoms

A team of researchers, led by scientists at UCL and University Medical Center Goettingen, has developed a simple blood test that uses artificial intelligence (AI) to predict Parkinson's up to seven years before the onset ...

Parkinson's & Movement disorders

AI helps uncover early cell changes in ALS progression

New research from the University of St Andrews and the University of Copenhagen has harnessed the power of AI to generate new insights into the progression of ALS.