Artificial Intelligence Medical Compendium

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

Showing 40,321 to 40,330 of 223,737 articles

Animal Research in Pharmacology: A Legacy or a Last Resort?

Current drug research reviews
Pharmacology has benefited greatly from animal research, which has supported drug discovery, safety evaluations, and therapeutic developments. However, its necessity is increasingly debated due to ethical concerns, regulatory changes, and emerging al... read more 

Corrigendum to: A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis.

Current topics in medicinal chemistry
In the originally published article entitled "A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis", published in "Current Topics in Medicinal Chemistry" Vol: 25 Issue: 04 [1], certain phrases and expressions were uncle... read more 

Development of comparative and machine learning-based methodologies for the identification of inks applicable in the field of cultural heritage and forensic science.

Talanta
This study proposes the development of comparative and machine learning-based methodologies for the identification of inks and pigments, with potential applications in both cultural heritage diagnostics and forensic science. A preliminary selection o... read more 

A programmable matrix-robust plasmonic MetaRing biosensor for rapid SERS-based chemotherapeutic response profiling.

Biosensors & bioelectronics
Rapid assessment of chemotherapeutic response is essential for precision oncology but remains hindered by tumor heterogeneity and complex biological matrices. Here, we develop MetaRing, a programmable coffee-ring-derived plasmonic biosensor fabricate... read more 

Explainable Artificial Intelligence for Predicting Length of Stay and Treatment Response in Pediatric Asthma and Allergic Rhinitis: An Irregular Fuzzy Cellular Automata Approach Across Pre- and During-COVID-19 Periods.

Respiratory medicine
OBJECTIVE: The COVID-19 pandemic significantly altered treatment strategies and healthcare utilization patterns in pediatric respiratory diseases. Given the need for interpretable predictive tools in clinical decision-making, this study aimed to inve... read more 

Age differences in episodic memory for restructured novel objects: The effect of schema deviations.

Neurobiology of learning and memory
In the era of artificial intelligence, synthetic visual content is increasingly produced by generative technologies. An important question is how older adults process and remember such restructured novel objects, and which cognitive and neural factor... read more 

Deep learning for Evaluation and Prediction of TecHnical Skills in robotic-assisted vaginal cuff closure (DEPTHS) study.

American journal of obstetrics and gynecology
BACKGROUND: To support surgical education, there has been an increasing focus on integrating surgical data, including surgical motion, activity and process understanding, to develop predictive models to assess surgical skills. OBJECTIVE: We aimed to ... read more 

MSCMH-Net: A multi-scale channel-mixing hybrid network for whole-brain segmentation.

Neuroscience
Whole-brain segmentation constitutes a fundamental task in medical image analysis, providing quantitative assessment of fine-grained brain regions and serving as a cornerstone for both clinical practice and neuroscience research. Despite its importan... read more 

HueTools: A modular image processing and ML toolkit for quantitative colorimetric assay development.

SLAS technology
Colorimetric assays offer a low-cost, accessible means of diagnostic testing but often suffer from subjective interpretation and variability caused by inconsistent imaging conditions. To address these challenges, we present HueTools, a comprehensive ... read more