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Health informatics news

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 ...

Obstetrics & gynaecology

Wearable devices could transform pregnancy monitoring and detect abnormalities

A simple fitness tracker might hold the key to revolutionizing maternal health care. Scientists at Scripps Research have found preliminary evidence suggesting that common wearable devices such as the Apple Watch, Garmin and ...

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 ...

Medications

FDA requires stronger safety labels for opioid medications

The U.S. Food and Drug Administration announced it will now be requiring updated safety labels for all opioid pain medications to better highlight the risks of long-term use, including misuse, addiction, and overdose.

Psychology & Psychiatry

Post-disaster mental health recovery app proves successful

The aftermath of a disaster—whether natural or man-made—can be difficult. Survivors often face destroyed homes, missing loved ones and financial difficulty. In the midst of chaos, mental health often moves to the back ...

Oncology & Cancer

AI model enhances diagnosis accuracy of high-risk thyroid nodules

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a multimodal deep-learning model for predicting the malignancy of TI-RADS 4 thyroid nodules ...

Health informatics

Using machine learning and big data in academic medicine

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both studies were published ...

Oncology & Cancer

Racial differences seen in prostate cancer care quality

Black men with newly diagnosed prostate cancer have lower odds of overtreatment and confirmatory testing when compared with white men, according to a research letter published online in JAMA Network Open.

Medical economics

Mobile app aims to bridge Ghana's rural health care gap

For years, frontline nurses at community-based health planning services have been forced to improvise with limited resources, no labs, no ultrasound machines, and sometimes no electricity.

Medical research

AI system streamlines extraction of key data from medical records

A multidisciplinary team at UT Southwestern Medical Center has developed an AI-enabled pipeline that can quickly and accurately extract relevant information from complex, free-text medical records. The team's novel approach, ...

Radiology & Imaging

Researchers advocate for separate roles between AI and humans

Renowned physician-scientist Eric J. Topol, M.D., and Harvard artificial intelligence (AI) expert Pranav Rajpurkar, Ph.D., advocate for a clear separation of the roles between AI systems and radiologists in an editorial published ...