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Health informatics news

Cardiology

Leveraging AI to analyze retinal images for cardiovascular risk assessment

A recent position paper in the Asia-Pacific Journal of Ophthalmology explores the transformative potential of artificial intelligence (AI) in ophthalmology.

Medications

New web portal empowers drug discovery, systems-level analysis of critical kinase-substrate interactions

Researchers from the Icahn School of Medicine at Mount Sinai have introduced KiNet, an interactive web portal designed to explore kinase-substrate interactions in human cellular systems. These interactions play a vital role ...

Ophthalmology

Researchers use AI to help people see more clearly

Myopia, also known as nearsightedness, is on the rise, especially among children. Experts predict that by the year 2050, myopia will affect approximately 50% of the world's population. Researchers believe that an increase ...

Radiology & Imaging

AI-guided imaging system improves radiology precision

Our imagination for artificial intelligence is expansive and ambitious. While there are plenty of dystopian tropes, pop culture is full of hopeful examples of what we believe artificial intelligence could bring to us, ranging ...

Health informatics

Study finds AI language models write good doctor's letters

Generative AI should be able to write usable doctor's letters and thus potentially speed up medical documentation, according to a study by the University Medical Center Freiburg. Around 93% of the AI-generated reports could ...

Pediatrics

Feet first: AI reveals how infants connect with their world

Recent advances in computing and artificial intelligence, along with insights into infant learning, suggest that machine and deep learning techniques can help us study how infants transition from random exploratory movements ...

Radiology & Imaging

ChatGPT shows human-level assessment of brain tumor MRI reports

As artificial intelligence advances, its uses and capabilities in real-world applications continue to reach new heights that may even surpass human expertise. In the field of radiology, where a correct diagnosis is crucial ...

Sports medicine & Kinesiology

Combining AI and thermal video offers a new window into weightlifting

Researchers have developed a new method that combines video from thermal cameras with AI-based digital processing to enhance weightlifting training. By providing data-driven insights that enable targeted training and recovery ...

Radiology & Imaging

Better MRI videos thanks to new machine learning method

Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications can also be accelerated ...

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 ...

Obstetrics & gynaecology

The sooner the better: An argument for fetal MRI before 16 weeks

To date, fetal magnetic resonance imaging (MRI) has been limited to the mid-second or the third trimester of pregnancy. This timing has been based on the belief that MRIs performed too early couldn't produce diagnostic images ...

Oncology & Cancer

Blood test aids in predicting lung cancer mortality risk

A blood-based test developed by researchers at The University of Texas MD Anderson Cancer Center can efficiently predict an individual's risk of dying from lung cancer when combined with a personalized risk model.

Medical research

Gamifying medical data labeling to advance AI

When Erik Duhaime, Ph.D. was working on his thesis in MIT's Center for Collective Intelligence, he noticed his wife, then a medical student, spending hours studying on apps that offered flash cards and quizzes. His research ...

Radiology & Imaging

AI fuses CT and MRI scans for better diagnostics

Research in the International Journal of Biomedical Engineering and Technology shows how artificial intelligence (AI) can be used to fuse images from clinical X-ray computed tomography (CT) and magnetic resonance imaging ...