Artificial Intelligence Medical Compendium

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

Showing 1,931 to 1,940 of 165,462 articles

Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.

Scientific reports
Old and vision-impaired indoor action monitoring utilizes sensor technology to observe movement and interaction in the living area. This model can recognize changes from regular patterns, deliver alerts, and ensure safety in case of any dangers or la... read more 

A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion.

BMC medical imaging
OBJECTIVES: Radiation-induced xerostomia is a common sequela in patients who undergo head and neck radiation therapy. This study aims to develop a three-dimensional deep learning model to predict xerostomia by fusing data from the gross tumor volume ... read more 

Oxidative Stress Links Thyroid Autoimmunity to Cancer: Peroxiredoxin 2 Protection via Genomic and Single-Cell Insights.

Cancer biotherapy & radiopharmaceuticals
This study identifies shared genetic factors linking Hashimoto's thyroiditis (HT) and thyroid cancer (TC) using an integrated multiomics approach. We combined Mendelian randomization (MR) analysis using FinnGen genome-wide association study data, s... read more 

MentalAId: an improved DenseNet model to assist scalable psychosis assessment.

BMC psychiatry
BACKGROUND: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions for general psychotic disorders. Regretfully, traditional symptom-based, one-to-one assessm... read more 

Utilization of a bioinspired algorithm for optimum reservoir operation in an altering climate a case study of China.

Scientific reports
Reservoir structures have been affected due to the climate challenge, which directly affects inflow conditions and water resource management. A combined model is used in the present study for predicting inflows in the future with respect to climate c... read more 

Advanced air quality prediction using multimodal data and dynamic modeling techniques.

Scientific reports
Accurate air quality forecasting is critical for human health and sustainable atmospheric management. To address this challenge, we propose a novel hybrid deep learning model that combines cutting-edge techniques, including CNNs, BiLSTM, attention me... read more 

Development and validation of a real-time risk prediction model for acute kidney injury in hospitalized pediatric patients.

World journal of pediatrics : WJP
BACKGROUND: Acute kidney injury is associated with a prolonged hospital stay and high mortality for pediatric patients. The previous prediction models are based on a pre-defined time window which may affect its feasibility in clinical practice. This ... read more 

[Preliminary exploration of the applications of five large language models in the field of oral auxiliary diagnosis, treatment and health consultation].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
To evaluate the accuracy of the oral healthcare information provided by different large language models (LLM) to explore their feasibility and limitations in the application of oral auxiliary, treatment and health consultation. This study designed ... read more 

KadsuraChem: A Machine Learning-Powered LC-MS Database for Phytochemicals and Its Role in Compound Identification of .

Journal of agricultural and food chemistry
plants, rich in bioactive dibenzocyclooctadienes and triterpenoids, are widely used in traditional medicine and the food industry. Previous LC-MS research identified only 25 dibenzocyclooctadienes from , with issues including isomer confusion and fa... read more 

A non-optically active lake salinity dataset by satellite remote sensing.

Scientific data
Water salinity characterizes the physicochemical properties of natural water, serving as an essential parameter for assessing lake water quality. However, the efficiency of remote sensing inversion of water salinity is limited as salinity is a non-op... read more