Artificial Intelligence Medical Compendium

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

Showing 38,841 to 38,850 of 223,469 articles

Saliency-Aware Mutual Learning for enhanced retinal Image Quality Assessment in diabetic retinopathy diagnostics.

Experimental eye research
In computer-assisted diagnostics, assessing the quality of retinal images, especially for DR, is vital. While current Image Quality Assessment (IQA) methods lean on Transfer Learning (TL), their adaptability to specific IQA demands, especially for DR... read more 

Development of hematopoietic stem cell-targeted lipid nanoparticles through lipid composition optimization.

Experimental hematology
Hematopoietic stem cell (HSC)-targeted gene editing holds significant potential for treating hereditary hematopoietic disorders, yet the efficient and safe delivery of gene-editing tools into HSCs remains a critical challenge. Lipid nanoparticles (LN... read more 

AI-discovered cellular morphometric biomarkers in needle biopsy of prostate cancer predict neoadjuvant androgen deprivation therapy response and enable therapeutic targeting of mTOR in androgen deprivation therapy-resistant tumors.

Cancer letters
It is imperative to identify patients with prostate cancer (PCa) who will not benefit from androgen receptor signaling inhibitors and to improve their clinical outcomes. Using artificial intelligence (AI), in this multicenter cohort study of 623 PCa ... read more 

Large-scale plasma proteomics for predicting future cardiovascular and all-cause mortality among individuals with cardiovascular-kidney-metabolic syndrome stage 0-3.

Metabolism: clinical and experimental
BACKGROUND: Identifying high-risk individuals for cardiovascular and all-cause mortality among individuals with cardiovascular-kidney-metabolic (CKM) syndrome stage 0-3 can guide the implementation of targeted interventions. This study aimed to evalu... read more 

Automated estimation of perivascular space and brain morphometry from deep learning-reconstructed three-dimensional T1-weighted MRI: comparison with the conventional technique.

Journal of neuroradiology = Journal de neuroradiologie
PURPOSE: To evaluate the utility of deep learning-based reconstruction (DLR) three-dimensional T1-weighted imaging (T1-WI) in improving fine structural delineation through the automated estimation of brain morphometry and perivascular space (PVS). MA... read more 

Ethics of artificial intelligence in aesthetic dermatology.

Journal of the American Academy of Dermatology
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DeepSTFSynergy: A multi-scale structural information fusion method for personalized drug combination prediction.

Journal of biomedical informatics
Efficiently predicting drug synergy is crucial for developing personalized cancer combination therapy regimens. However, existing methods primarily focus on single-scale structural information and fail to explicitly model the interactions between mul... read more 

Convolutional neural networks detected changes in facial expressions of mice that had conditioned fear stress.

Neuroscience
Animal models are essential for studying aversive states such as fear and pain. Facial expressions may provide non-invasive readouts of aversive states in animals. This study investigated whether changes in facial expressions, which are potentially c... read more 

Artificial intelligence guided occlusion reconstruction in nonoccluding CBCT: A validation study.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Cone beam computed tomography (CBCT) scans acquired with interocclusal separation improve stability and reduce motion artifacts but lack reliable occlusal contacts. Accurately reconstructing occlusion is critical for diagnosis, ... read more