Latest AI and machine learning research in stem cell research for healthcare professionals.
This paper discusses the responsible use of artificial intelligence (AI) in public health and in med...
Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provid...
BACKGROUND: Intradialytic hypotension (IDH) is associated with mortality in adults undergoing interm...
OBJECTIVE: Although patients prefer describing their problems using words, mental health interventio...
PURPOSE: Bridging radiation therapy (BRT) is effective for local control in patients with relapsed o...
PURPOSE: Volumetric-modulated arc therapy (VMAT) treatment planning allows a compromise between a su...
Microsatellite instability is a strong predictor of response to immune checkpoint therapy and patien...
BACKGROUND: Early prediction of treatment response to neoadjuvant therapy (NAT) in breast cancer pat...
PURPOSE: Stereotactic magnetic resonance guided adaptive radiation therapy (SMART) is a new option f...
BACKGROUND: As the use of guided digitally-delivered cognitive-behavioral therapy (GdCBT) grows, pra...
Imaging disciplines, such as ophthalmology, offer a wide range of opportunities for the beneficial u...
Lung cancer exhibits strong heterogeneity, and its early diagnosis and precise subtyping are of grea...
PURPOSE: Cone beam computed tomography-based online adaptive radiation therapy (ART) allows signific...
We apply survival analysis as well as machine learning models to predict the duration of clinical tr...
BACKGROUND: Noninvasive volumetric measurements during the first trimester of pregnancy provide uniq...
Navigating the complexities of Autism Spectrum Disorder (ASD) diagnosis and intervention requires a ...
PURPOSE: Accurate internal target volume (ITV) estimation is essential for effective and safe radiat...
BACKGROUND: The assessment of the International Society of Urological Pathology (ISUP) nuclear grade...
With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become i...
The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90...
To evaluate the impact of beam mask implementation and data aggregation on artificial intelligence-b...