Artificial Intelligence Medical Compendium

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

Showing 53,301 to 53,310 of 225,548 articles

Turning the web against sex traffickers: Scalable artificial intelligence is harnessed for investigative search.

Science (New York, N.Y.)
Scalable artificial intelligence is harnessed for investigative search. read more 

Interpretable Multimodal Graph Learning Platform for Rational Design of AIEgens: From Molecular Structure and Microenvironments to Photophysical Properties.

ACS sensors
Aggregation-induced emission luminogens (AIEgens) exhibit significant application potential in materials science due to their unique photophysical properties. However, systematically elucidating their structure-property relationships remains challeng... read more 

Exploring Clinician Perspectives on Artificial Intelligence in Primary Care: Qualitative Systematic Review and Meta-Synthesis.

JMIR AI
BACKGROUND: Recent advances have highlighted the potential of artificial intelligence (AI) systems to assist clinicians with administrative and clinical tasks, but concerns regarding biases, lack of regulation, and potential technical issues pose sig... read more 

Iterative Large Language Model-Guided Sampling and Expert-Annotated Benchmark Corpus for Harmful Suicide Content Detection: Development and Validation Study.

JMIR medical informatics
BACKGROUND: Harmful suicide content on the internet poses significant risks, as it can induce suicidal thoughts and behaviors, particularly among vulnerable populations. Despite global efforts, existing moderation approaches remain insufficient, espe... read more 

Effectiveness of Informed AI Use on Clinical Competence of General Practitioners and Internists: Pre-Post Intervention Study.

JMIR medical education
BACKGROUND: Artificial intelligence (AI) shows promise in clinical diagnosis, treatment support, and health care efficiency. However, its adoption in real-world practice remains limited due to insufficient clinical validation and an unclear impact on... read more 

Ethical Risks and Structural Implications of AI-Mediated Medical Interpreting.

JMIR AI
Artificial intelligence (AI) is increasingly used to support medical interpreting and public health communication, yet current systems introduce serious risks to accuracy, confidentiality, and equity, particularly for speakers of low-resource languag... read more 

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