Artificial Intelligence Medical Compendium

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

Showing 9,111 to 9,120 of 208,441 articles

Monolithic Bionic Tactile Sensor for Simultaneous Recognition of Pressure, Temperature, and Texture.

ACS sensors
Replicating the coupled tactile sensing properties of biological skin requires sensors capable of simultaneously detecting mechanical and thermal stimuli. Although existing multimodal tactile sensors have made notable progress, they typically depend ... read more 

MoS2 Heterojunction-Based Gas Sensor Platform Enables Real-Time Detection of Sarin at Room Temperature via Strong Adsorption and Enhanced Charge Transfer.

ACS sensors
Chemical warfare agents (CWAs) are still a serious threat to human safety with high toxicity and ease of preparation. Developing room-temperature sensors to build miniaturized, low-power monitoring networks is an effective approach for achieving earl... read more 

The Tip of the Iceberg: Pathway Biology Must Anchor the Next Generation of Critical Care Trials.

Critical care explorations
Heterogeneity of treatment effect has yielded decades of negative critical care trials. Syndromic diagnoses like sepsis and acute respiratory distress syndrome mask distinct molecular programs that respond differently to the same intervention, and si... read more 

Making waves: Energy data as an observatory for water system performance.

Water research
Water utilities are strained by climate variability, aging infrastructure, workforce changes, funding, and dependence on the electric grid. Although utilities routinely collect detailed energy data, they usually treat the data narrowly for billing, c... read more 

Personalized non-invasive continuous glucose monitoring via multiparameter-informed machine learning.

Biosensors & bioelectronics
Non-invasive continuous glucose monitoring (NCGM) based on reverse iontophoresis (RI) holds considerable promise for diabetes management; however, its clinical translation is constrained by limited predictive accuracy. This limitation primarily arise... read more 

Machine Learning Model Using Pre-Cancer Therapy Cardiac Magnetic Resonance Images to Predict Cancer Therapy-Related Cardiac Dysfunction.

JACC. Cardiovascular imaging
BACKGROUND: Predicting risk of cancer therapy-related cardiac dysfunction (CTRCD) remains challenging. OBJECTIVES: The purpose of this study was to assess if deep learning (DL) approaches using cardiac magnetic resonance (CMR) images before cancer th... read more 

Machine learning assisted transparent bending-insensitive SERS substrate for reliable quantitative analysis of thiram residues on fruit surfaces.

Talanta
Transparent and flexible surface-enhanced Raman scattering (SERS) substrates are highly suitable for rapid pesticide detection on fruit surfaces, owing to their capability for in situ detection on curved surfaces. However, achieving reproducible and ... read more 

Displaced minds: ecologies of depression.

Biomedical journal
This issue of the Biomedical Journal explores emerging perspectives across neuropsychiatry, metabolism, aging, regenerative medicine, artificial intelligence, and chronic inflammatory disease. Featured contributions examine epigenetic and neuroendocr... read more