Artificial Intelligence Medical Compendium

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

Showing 9,101 to 9,110 of 208,441 articles

Integrated multi-endpoint hazard prioritization of unregulated industrial contaminants: A safety-first screening framework for emerging environmental threats.

Ecotoxicology and environmental safety
The rapid expansion of the industrial chemical space has outpaced regulatory oversight, creating a critical regulatory and environmental blind spot regarding unregulated high-consequence chemicals with limited hazard characterization. While conventio... read more 

Innovation and Our Data: This Does Not Need to Be Scary.

Healthcare management forum
The rapid emergence of Artificial Intelligence (AI) has unveiled the clinical, public health, and economic value of Canada's health data assets. However, the Canadian industry developing technologies to improve the standard and quality of Canadian he... read more 

Computational blueprints for cell fate programming.

Stem cell reports
Cell fate programming enables applications in disease modeling, drug discovery, and regenerative medicine. Foundational studies established differentiation protocols, but their scalability is constrained by combinatorial complexity. Computational met... read more 

Capturing multi-disease states on a spectrum with machine learning and routine clinical data.

Med (New York, N.Y.)
BACKGROUND: Diseases exist on spectra of risk factors, cellular perturbations, organ dysfunction, and clinical manifestations. It is unknown whether the analysis of routine laboratory tests and vitals using artificial intelligence presents a scalable... read more 

Rethinking healthcare data interoperability in the age of large language models.

Med (New York, N.Y.)
Electronic health records contain extensive real-world clinical data, but their effective use is hindered by data heterogeneity and interoperability challenges. Traditional post hoc standardization is costly and labor-intensive and reduces data granu... read more 

Epilepsy seizure prediction based on ViT-2DCNN spatio-temporal fusion model.

Biomedical physics & engineering express
OBJECTIVE: Epilepsy is a chronic neurological disorder characterized by recurrent and sudden seizures. Accurate prediction of epileptic seizures holds significant clinical value by enabling timely medical intervention. Due to the patient-specific nat... read more 

Cluster and network formation in Fe-Si-B amorphous alloys: A machine learning molecular dynamics study.

Journal of physics. Condensed matter : an Institute of Physics journal
Local atomic arrangements in amorphous materials, particularly short-and medium-range orders (SRO and MRO, respectively), govern their metastability and distinctive physical properties. In 1979, Gaskell proposed that the structural motifs of transiti... read more 

Improving Compton imaging of 478 keV prompt gamma-ray in boron neutron capture therapy with neural network-based event filtering: a simulation study.

Physics in medicine and biology
Objective.Boron neutron capture therapy (BNCT) is a promising radiotherapy modality that effectively targets cancer cells through boron neutron capture reactions. Real-time determination and localization of the in vivo boron dose during treatment pla... read more 

The Tsetlin Machine: A "Third Way" in QSAR Modeling.

Journal of chemical information and modeling
Advances in Quantitative Structure Activity Relationship (QSAR) are led by two core paradigms, (1) descriptor engineering, where complex fixed-length vectors of compounds are generated and conventional ML methods are applied to those representations ... read more 

From microbiomes to predictive ecosystems: challenges and opportunities in artificial intelligence-based approaches.

The Lancet. Microbe
Microbiome systems encompass diverse ecological niches and host associations, with their scale and complexity challenging traditional analytical frameworks. Advances in artificial intelligence are transforming microbiome research by enabling improved... read more