Artificial Intelligence Medical Compendium

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

Showing 761 to 770 of 200,021 articles

Non-contact air humidity recognition based on the fusion of laser-induced breakdown spectroscopy-acoustic signals and machine learning.

Optics letters
Addressing the limited adaptability of traditional air humidity detection technology in complex environments, a multimodal air humidity recognition system based on the fusion of laser-induced breakdown spectroscopy (LIBS) and laser-induced plasma aco... read more 

Explainable machine learning in healthcare: methods, interpretation, and applications for clinical research.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To provide a practical and methodologically grounded overview of explainable machine learning (XML) approaches in healthcare, with emphasis on their interpretation and application in clinical research and decision support. By moving beyon... read more 

Innovations in Electrochemical Sensors for TNT Explosive Detection: From Nanomaterials to Wearable Devices and Artificial Intelligence.

Critical reviews in analytical chemistry
The detection of explosive residues, particularly nitroaromatic compounds such as 2,4,6-trinitrotoluene (TNT), is a major global concern because of their threats to security, public health, and environmental safety. TNT is highly toxic, chemically st... read more 

CM-MTL-DTI: Drug-Target Interaction Prediction via Cross-Modal Alignment and Multi-Task Learning.

Journal of chemical information and modeling
Drug-target interaction (DTI) prediction is critical for candidate compound screening and elucidation of mechanisms of action in drug discovery and repurposing. However, existing methods often rely on unimodal representations, global fusion, or shall... read more 

Students' Perspectives on Digital Psychotherapy-Possible Solutions for Digital Inpatient-Like Care Concepts: Qualitative Interview Study.

JMIR medical education
BACKGROUND: The demand for mental health treatment is increasing, while the availability of treatment remains insufficient to meet the rising demand. Alternative solutions need to be explored to enable access to care for patients who cannot participa... read more 

Environmental Levels of Sodium p-Perfluorous Nonenoxybenzene Sulfonate Induce Nephritis in Renal Proximal Tubular Epithelial Cells via Modulation of Estrogen Signaling Pathways.

Journal of biochemical and molecular toxicology
Sodium p-perfluorous nonenoxybenzene sulfonate (OBS), widely used as an alternative to per- and polyfluoroalkyl substances, has been implicated in toxicity across multiple organ systems. Currently, its effects on renal health remain poorly characteri... read more 

Human and Robot Assistance for Cognitive Load in Younger and Older Adults: Multimodal Within-Subject Experimental Study.

Journal of medical Internet research
BACKGROUND: Maintaining cognitive efficiency and independence is a central goal of healthy aging. Socially assistive robots (SARs) are increasingly proposed as scalable digital health solutions to support daily activities in older adults and to facil... read more 

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection.

PloS one
The growing sophistication of cyber threats and adversarial attacks poses critical challenges to the security and robustness of machine learning models deployed in real-world systems. While traditional deep learning architectures excel in clean data ... read more 

Canalization of neural dynamics by δ-protocadherins in the developing zebrafish optic tectum.

PLoS genetics
Brain dynamics are constrained by the underlying topology of neuronal networks. How genes collaborate to organize these neural networks during development remains an enduring mystery. In humans, large numbers of genes have been implicated in neurodev... read more 

Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases.

PloS one
This study is not intended to establish a predictive framework for reaction yield. Instead, it is framed as a methodological investigation examining the statistical behavior and instability of regularized regression techniques when applied to ultra-s... read more