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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

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

Artificial intelligence models for diagnosing post-traumatic stress disorder

Whether AI may be a promising strategy for post-traumatic stress disorder (PTSD) diagnosis.

29 Sep 2023

Unlocking the code: BigRNA's deep learning model predicts RNA behavior

Researchers have developed BigRNA, a groundbreaking deep learning model capable of predicting RNA behavior, including tissue-specific expression and splicing, directly from genomic DNA sequences. The model excels in identifying pathogenic variants and could be a game-changer in the development of personalized RNA-based therapies for treating genetic diseases.

28 Sep 2023

AI chest X-ray foundation model shows racial and sex-related bias

An AI chest X-ray foundation model for disease detection demonstrated racial and sex-related bias leading to uneven performance across patient subgroups and may be unsafe for clinical applications, according to a study published today in Radiology: Artificial Intelligence, a journal of the Radiological Society of North America (RSNA).

27 Sep 2023

Deep learning revolutionizes ultra-low-field brain MRI for quicker, clearer scans

Researchers develop a deep learning framework to accelerate ultra-low-field brain MRI, achieving faster scan times and enhanced image quality. The method shows promise in making MRI more accessible and reliable, especially in settings with limited access to high-field scanners.

25 Sep 2023