Artificial Intelligence Medical Compendium

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

Showing 57,601 to 57,610 of 227,388 articles

A Wireless, Battery-Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Technologies for sensing and translating throat signals into speech have advanced the communication for people with vocal impairments. However, the practical deployment of these technologies is currently hindered by tethered system, bulky components ... read more 

Integrated LIBS-Raman spectroscopic platform for concurrent elemental and molecular analysis.

Analytical methods : advancing methods and applications
Microplastic particles (MPs) are emerging environmental contaminants that can adsorb toxic metals and organic species, posing risks to ecosystems and human health. In this study, a compact analytical platform combining laser-induced breakdown spectro... read more 

Seizure forecasting with multiple timescales and features.

Epilepsia
OBJECTIVE: Forecasting epileptic seizures is a difficult task. Studies of seizure prediction have investigated many different EEG features, but none of them have been useful enough to be applied in clinical practice beyond trials. Moreover, most of t... read more 

Novel "No-Lo" imaging techniques to minimize intraoperative radiation exposure in vascular and endovascular surgery.

Journal of vascular surgery
INTRODUCTION: The rapid expansion in endovascular techniques has placed vascular surgeons among those most exposed to occupational medical radiation. There are a number of emerging novel no-radiation and low-radiation ("'No-Lo") imaging techniques in... read more 

Rationalizing nose-to-brain drug delivery: Machine learning-guided optimization and mechanistic elucidation of olfactory deposition for nasal sprays.

Journal of controlled release : official journal of the Controlled Release Society
Nose-to-brain drug delivery via nasal sprays is severely limited by low olfactory deposition. In this study, we integrate machine learning with high-throughput experimentation to systematically optimize olfactory deposition of solid lipid nanoparticl... read more 

Multiple epileptiform waves detection algorithm based on improved VMD and multidimensional feature fusion.

Journal of neuroscience methods
BACKGROUND: Spikes, ripples, and ripples on spikes (RonS) during non-rapid eye movement (NREM) sleep are all important biomarkers associated with epileptic seizures, and accurate detection of these epileptiform waves is vital for epilepsy analysis. N... read more 

Assumption-light feature discovery outperforms Cox-based selection for PM2.5 constituent analysis in an open benchmark.

Environmental pollution (Barking, Essex : 1987)
AI misapplications are widespread in environmental research, often arising from limited understanding of machine learning assumptions and their alignment with complex exposure-outcome relationships. Motivated by Chen et al., who used marginal structu... read more 

Associations of fine particulate matter pollution components with overall, prostate cancer, and cardiovascular disease mortality in men with prostate cancer: A cohort study.

Environmental research
BACKGROUND: Over 3.5 million US men are living with prostate cancer (Pica), many with underlying cardiovascular disease (CVD). Fine particulate matter (PM2.5) contributes to higher CVD mortality through inflammation and other mechanisms, and so may i... read more 

Radiomics for Differentiating Autoimmune-Related Interstitial Lung Disease from Idiopathic Pulmonary Fibrosis: A Narrative Review.

Seminars in ultrasound, CT, and MR
Interstitial lung disease (ILD) represents a wide variety of lung diseases, commonly resulting in irreversible changes with worsening quality of life and a high index of casualties per year. Idiopathic pulmonary fibrosis (IPF) shows the highest preva... read more 

Engineering Immune Cell to Counteract Aging and Aging-Associated Diseases.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Aging and age-related diseases are a major public health concern, driving interest in anti-aging research. While small molecules and natural compounds show promise in animals, clinical translation is limited. Recently, chimeric antigen receptor (CAR)... read more