Artificial Intelligence Medical Compendium

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

Showing 53,791 to 53,800 of 225,930 articles

Enhancing Transcription Factor Regulatory Network Analysis through Data Balancing and Representation Learning.

Biomedical physics & engineering express
Transcription factor (TF) and target gene interactions are pivotal in gene regulatory networks, influencing molecular biology and disease mechanisms, particularly cancer. Dysregulated TFs contribute to aberrant gene expression, driving tumor progress... read more 

Truth-based physics informed estimation of material composition in spectral CT in terms of density and effective atomic number.

Physics in medicine and biology
Spectral CT data from Photon-Counting CT (PCCT) enables material decomposition. Mechanistic approaches such as Maximum Likelihood Estimation (MLE) are noise sensitive. Deep learning alternatives mitigate this issue, but their accuracy remains limited... read more 

Patch2Space: a registration-free segmentation method for misaligned multimodal medical images.

Physics in medicine and biology
Multimodal images contain complementary information that is valuable for deep learning (DL)-based image segmentation. To enable effective multimodal feature learning and fusion for accurate segmentation, multimodal images usually need to be registere... read more 

AutoSimTTF: a fully automatic pipeline for personalized electric field simulation and treatment planning of tumor treating fields.

Physics in medicine and biology
OBJECTIVE: Tumor Treating Fields (TTFields) is an emerging cancer therapy whose efficacy is closely linked to the electric field (EF) intensity delivered to the tumor. However, current computational workflows for simulating the EF and planning treatm... read more 

Rapid quality assessment of organic fertilizers using fused FTIR and LIBS spectroscopy with machine learning.

Analytical methods : advancing methods and applications
Organic fertilizers are vital for sustainable agriculture, but conventional quality assessment methods are often time-consuming and costly. This study developed a rapid analytical framework by synergistically combining Fourier transform infrared spec... read more 

Artificial-intelligence-enabled digital stethoscope improves point-of-care screening for moderate-to-severe valvular heart disease.

European heart journal. Digital health
AIMS: Valvular heart disease (VHD) can affect more than one in two adults over 65 yet remains underdiagnosed due to the limitations of traditional auscultation. Earlier detection is critical for improving outcomes, but many cases go unrecognized. Thi... read more 

The future of PCOS management: Disease modification through regenerative, metabolic, and digital therapeutics.

Pathology, research and practice
Polycystic ovary syndrome (PCOS) represents the leading endocrine problem affecting women of reproductive age, leading to serious complications related to reproduction, metabolism, and psychosocial aspects. Nonetheless, due to the heterogeneous natur... read more 

Discovery and optimization of Menin-MLL inhibitors targeting acute myeloid leukemia.

European journal of medicinal chemistry
A machine learning-guided strategy, which integrated unsupervised structural clustering to identify diverse scaffolds for molecular hybridization followed by synergistic QSAR and molecular docking screening, identified lead compound 7. Guided by this... read more 

LSTM-GPT-4 Integration for Interpretable Biomedical Signal Classification.

JMIR formative research
BACKGROUND: Approximately 3.8 billion people lack access to essential health services, and diagnostic interpretation remains a major bottleneck in remote and resource-constrained settings. Limited access to specialists and the complexity of biomedica... read more 

Algorithmic bias and transparency in artificial intelligence tools for nursing education: A scoping review.

Nurse education in practice
AIM: To synthesize literature on algorithmic bias and transparency in artificial intelligence tools used in nursing education and identify common applications, bias types, transparency challenges and mitigation strategies. BACKGROUND: Artificial inte... read more