Artificial Intelligence Medical Compendium

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

Showing 47,801 to 47,810 of 224,199 articles

Could sleep engineering be used to combat PTSD and depression?

PLoS biology
Sleep engineering could be developed to provide a drug-free, non-invasive avenue to treat depression and post-traumatic stress disorder. Such an intervention would be greatly aided by the sophisticated detection of memory reactivations using machine ... read more 

Deep locomotion prediction learning over biosensors, ambient sensors, and computer vision.

PloS one
Innovative technologies for developing intelligent systems related to locomotion prediction learning are crucial in today's world. Human locomotion involves various complex concepts that must be addressed to enable accurate prediction through learnin... read more 

Development of an automatic segmentation system for anterolateral thigh flap perforators in maxillofacial reconstruction.

PloS one
The anterior thigh (ALT) flap is commonly used in reconstructive surgery, especially in maxillary reconstruction. Accurately identifying the perforator that supplies blood to the flap is critical for surgical success but is time-consuming and prone t... read more 

First-line risk stratification with machine learning models facilitates rapid triage for non-ST-elevation myocardial infarction.

PLOS digital health
Timely diagnosis of non-ST-elevation myocardial infarction (NSTEMI) remains challenging, as current protocols rely on serial high-sensitivity cardiac troponin (hs-cTn) tests that may delay decisions and overcrowd emergency departments. We retrospecti... read more 

Classification of knowledge of fertility period among adolescent girls in East Africa from 2012 to 2022: Machine learning algorithm.

PLOS digital health
Understanding the time of the menstrual cycle would help women to avoid getting pregnant without the need for surgical, hormonal, or mechanical contraception. Women who do not use contraception and do not know when they are fertile are at a higher ri... read more 

Flexible Organic Clip as an Adapter to Enhance Host-Guest Nanopore Single-Molecule Sensing.

Analytical chemistry
The host-guest nanopore analysis method provided an avenue for hydrophobic analytes detection. However, the fixed cavity of conventional rigid hosts restricted the size range of detectable analytes, thereby partly limiting their further development. ... read more 

Robust predictors for drug response of patients with acute myeloid leukemia.

PloS one
The significant heterogeneity in treatment responses among patients with acute myeloid leukemia (AML) underscores the critical need for accurate drug response prediction. We developed k-Top Scoring Pairs (kTSP) classifiers, ensemble methods that aggr... read more 

A deep learning-based evaluation system for child-friendly urban streets integrating abstract and concrete features-A case of Shanghai Urban Street.

PloS one
To address the challenges of high subjectivity, difficult data acquisition, and low efficiency in current evaluation methods for child-friendly urban streets, this study proposes a deep learning-based evaluation system that integrates both concrete a... read more 

Using machine learning to predict and analyze complex trait diseases: Lessons from a simple abstract model.

PloS one
The ability to predict individual genetic susceptibility to a complex trait disease is a major challenge in modern medicine. One approach to addressing this challenge utilizes an additive combination of contributions from a large number of single nuc... read more