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AI tools may be effective at detecting heart valvular disease and predicting cardiovascular risk

Advances in artificial intelligence have enabled the development and application of AI tools that may be effective at detecting heart valvular disease and predicting the risk of cardiovascular disease events, according to preliminary research in two studies to be presented at the American Heart Association's Scientific Sessions 2023.

6 Nov 2023

AI predicts glaucoma progression in high-risk patients with high accuracy

AI (artificial intelligence) that is trained to recognize red flags in retinal images and clinical information can predict if and when people at high risk of glaucoma, usually referred to as 'glaucoma suspects,' go on to actually develop it, finds research published online in the British Journal of Ophthalmology.

3 Nov 2023

Researchers receive $1.5 million grant to develop VR assessment system for TBI

One of the most common injuries sustained by military personnel in recent conflicts has been traumatic brain injury, or TBI.

26 Oct 2023

New AI model aims to fix flaws in smartphone-based COVID-19 X-ray diagnosis

Researchers highlight the limitations and challenges of using AI models for diagnosing COVID-19 from chest X-rays shared via smartphones. The study introduces a new multi-task learning model to improve diagnostic accuracy, addressing issues like prediction instability and faulty focus areas in images.

25 Oct 2023

Brain-computer interface helps ALS patient control devices, navigate communication board

It's the day after the Baltimore Orioles clinched the American League East Championship with their 100th win of the season, and lifelong fan Tim Evans is showing his pride on his sleeve.

25 Oct 2023

Deep-learning models predict COVID-19 cases globally with high accuracy

An AI deep learning model to predict the number of COVID-19 cases 14 days into the future.

24 Oct 2023

Deep learning algorithm identifies antimalarial drug as promising treatment for osteoporosis

Artificial intelligence has exploded in popularity and is being harnessed by some scientists to predict which molecules could treat illnesses, or to quickly screen existing medicines for new applications.

18 Oct 2023

AI-powered software can provide MRI-quality brain images from CT scans

In certain cases, a new method can provide as much information from brain images taken with computed tomography (CT) as images captured with magnetic resonance imaging (MRI).

17 Oct 2023

AI innovation "Sturgeon" transforms classification of central nervous system malignancies

Sturgeon, a patient-agnostic transfer-learned neural network, to enable molecular subclassification of CNS malignancies.

16 Oct 2023

AI-powered unbiased pain detection system holds promise for improving patient care

An automated pain recognition system using artificial intelligence (AI) holds promise as an unbiased method to detect pain in patients before, during and after surgery, according to research presented at the ANESTHESIOLOGY 2023 annual meeting.

15 Oct 2023

AI helps neurosurgeons identify brain tumor types on the spot

What type of brain tumor does this patient have? AI technology helps to determine this as early as during surgery, within 1.5 hours. This process normally takes a week.

11 Oct 2023

NYU team makes breakthrough in understanding neural mechanisms behind speech production

Speech production is a complex neural phenomenon that has left researchers explaining it tongue-tied. Separating out the complex web of neural regions controlling precise muscle movement in the mouth, jaw and tongue with the regions processing the auditory feedback of hearing your own voice is a complex problem, and one that has to be overcome for the next generation of speech-producing protheses.

11 Oct 2023

Adaptability and promising potential of synthetic information in healthcare

The possible benefits and limits of artificially generated data in the context of healthcare analytics.

11 Oct 2023

Privacy-preserving large language models may be a feasible option for extracting data from radiology reports

Locally run large language models (LLMs) may be a feasible option for extracting data from text-based radiology reports while preserving patient privacy, according to a new study from the National Institutes of Health Clinical Center (NIH CC) published in Radiology, a journal of the Radiological Society of North America.

10 Oct 2023

Can AI outshine human experts in reviewing scientific papers?

AI-driven model matches experts in offering insightful feedback on scientific manuscripts, proving equally effective if not more, in evaluating research quality and potential. The tool, based on the GPT-4 architecture, efficiently streamlines the peer review process, offering tailored suggestions that many researchers found valuable and intent to reuse.

9 Oct 2023

AI model combines imaging and patient data to improve chest X-ray diagnosis

A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, according to a study published in Radiology, a journal of the Radiological Society of North America.

4 Oct 2023

New AI model predicts therapeutic targets for age-related diseases

A new research paper was published in Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 15, Issue 18, entitled, "Biomedical generative pre-trained based transformer language model for age-related disease target discovery."

4 Oct 2023

MR-linac systems could help clinicians distinguish true progression from pseudoprogression in glioblastoma

Is it true progression or pseudoprogression in tumor growth?

3 Oct 2023

Novel deep learning model to assess Alzheimer's disease progression risk

Patterns in the Alzheimer's disease (AD) trajectory using Mendelian randomization (MR) and deep learning (DL).

3 Oct 2023

Preterm birth risk highlighted in Stanford-led study on sleep and activity during pregnancy

Researchers developed series2signal, a novel, state-of-the-art prediction model that used wearable data from pregnant women to predict gestational age as a proxy for the progression of pregnancy and the likelihood of poor pregnancy outcomes, especially preterm birth, based on wearable-detected changes in maternal sleep quality and physical activity levels.

2 Oct 2023

Deep Learning News and Research

AI tools may be effective at detecting heart valvular disease and predicting cardiovascular risk

AI predicts glaucoma progression in high-risk patients with high accuracy

Researchers receive $1.5 million grant to develop VR assessment system for TBI

New AI model aims to fix flaws in smartphone-based COVID-19 X-ray diagnosis

Brain-computer interface helps ALS patient control devices, navigate communication board

Deep-learning models predict COVID-19 cases globally with high accuracy

Deep learning algorithm identifies antimalarial drug as promising treatment for osteoporosis

AI-powered software can provide MRI-quality brain images from CT scans

AI innovation "Sturgeon" transforms classification of central nervous system malignancies

AI-powered unbiased pain detection system holds promise for improving patient care

AI helps neurosurgeons identify brain tumor types on the spot

NYU team makes breakthrough in understanding neural mechanisms behind speech production

Adaptability and promising potential of synthetic information in healthcare

Privacy-preserving large language models may be a feasible option for extracting data from radiology reports

Can AI outshine human experts in reviewing scientific papers?

AI model combines imaging and patient data to improve chest X-ray diagnosis

New AI model predicts therapeutic targets for age-related diseases

MR-linac systems could help clinicians distinguish true progression from pseudoprogression in glioblastoma

Novel deep learning model to assess Alzheimer's disease progression risk

Preterm birth risk highlighted in Stanford-led study on sleep and activity during pregnancy

AI In Healthcare eBook

Improving healthcare sustainability through carbon data

Managing vibration in IVF laboratories

A New Approach to Preventing Bladder Cancer Recurrence

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