Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,751 to 3,760 of 169,808 articles

Persistence after prohibition: Revealing the drivers of traditional and novel organochlorine pesticide residues in river sediments.

Environmental research
Legacy organochlorine pesticides (OCPs) persist as global environmental threats despite international bans, while novel OCPs have been widely adopted as alternatives; however, the spatiotemporal dynamics and regulatory drivers of both legacy and nove... read more 

DA3Attacker: A Diffusion-based Attacker against Aesthetics-oriented Black-box Models.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
The adage "Beautiful Outside But Ugly Inside" resonates with the security and explainability challenges encountered in image aesthetics assessment (IAA). Although deep neural networks (DNNs) have demonstrated remarkable performance in various IAA tas... read more 

Screening, identification, and experimental validation of SUMOylation biomarkers in Parkinson's disease.

Hereditas
BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder. The role of protein post-translational modifications (PTMs), especially small ubiquitin-like modifier (SUMO) conjugation (SUMOylation), in PD pathogenesis remains unclear. T... read more 

A Deep Learning Model to Detect Acute MCA Occlusion on High Resolution Non-Contrast Head CT.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: To assess the feasibility and accuracy of a deep learning (DL) model to identify acute middle cerebral artery (MCA) occlusion using high resolution non-contrast CT (NCCT) imaging data. read more 

Baseline high-resolution maps of soil nutrients in Morocco to support sustainable agriculture.

Scientific data
Phosphorus (P) and potassium (K) are essential fertilizer elements whose recommendations require soil analysis tailored to crop-specific needs. However, in developing countries like Morocco, access to open databases on nutrient bioavailability remain... read more 

BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.

Scientific reports
Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a primary cancer that occurs in women. Earlier identification of BC is significant in the treatment process. To lessen unwanted biopsies, Magnetic Resonan... read more 

Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling.

Nature communications
Intensive care unit (ICU) patients often experience rapid changes in clinical status, requiring timely identification of deterioration to guide life-sustaining interventions. Current artificial intelligence (AI) models for acuity assessment rely on m... read more 

SamRobNODDI: q-space sampling-augmented continuous representation learning for robust and generalized NODDI.

Physics in medicine and biology
OBJECTIVE: Neurite Orientation Dispersion and Density Imaging (NODDI) microstructure estimation from diffusion magnetic resonance imaging (dMRI) is of great significance for the discovery and treatment of various neurological diseases. Current deep l... read more 

GPT-4 for automated sequence-level determination of MRI protocols based on radiology request forms from clinical routine.

European radiology
OBJECTIVES: This study evaluated GPT-4's accuracy in MRI sequence selection based on radiology request forms (RRFs), comparing its performance to radiology residents. read more