Artificial Intelligence Medical Compendium

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

Showing 3,851 to 3,860 of 170,066 articles

MARIA: A multimodal transformer model for incomplete healthcare data.

Computers in biology and medicine
In healthcare, the integration of multimodal data is pivotal for developing comprehensive diagnostic and predictive models. However, managing missing data remains a significant challenge in real-world applications. We introduce MARIA (Multimodal Atte... read more 

Time series AQI forecasting using Kalman-integrated Bi-GRU and Chi-square divergence optimization.

Scientific reports
Air pollution has become a pressing global concern, demanding accurate forecasting systems to safeguard public health. Existing AQI prediction models often falter due to missing data, high variability, and limited ability to handle distributional unc... read more 

Species richness is an important mediator of multifunctionality changes in Hobq desert shrub ecosystem.

Scientific reports
Studying the biodiversity and multifunctionality relationships of the Hobq Desert shrub ecosystem and its response to environmental factors is crucial for ecological restoration in the region. In this study, we examined variations in biodiversity and... read more 

A new framework for evaluating land suitability for Goji (Lycium barbarum L.) cultivation across China.

Journal of environmental management
As a valuable Chinese medicinal herb and functional food, Goji (Lycium barbarum L.) berries have been consumed for more than 4500 years in China and have received extensive international attention. However, stakeholders have adopted traditional manag... read more 

A service-oriented microservice framework for differential privacy-based protection in industrial IoT smart applications.

Scientific reports
The rapid advancement of key technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and edge-cloud computing has significantly accelerated the transformation toward smart industries across various domains, including finance,... read more 

Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer.

Scientific reports
In this study, we propose a new method for oral cancer detection using a modified Vanilla Convolutional Neural Network (CNN) architecture with incorporated batch normalization, dropout regularization, and a customized design structure for the convolu... read more 

Design, analysis and experiment of a novel repeatable buffer landing mechanism.

Scientific reports
The traditional lunar landing buffering structure uses multi-stage aluminum honeycomb materials to absorb impact energy. However, due to irreversible deformation and abrupt acceleration changes during the buffering process, it fails to meet reusabili... read more 

Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.).

Scientific reports
Accurate prediction and optimization of morphological traits in Roselle are essential for enhancing crop productivity and adaptability to diverse environments. In the present study, a machine learning framework was developed using Random Forest and M... read more 

Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Journal of robotic surgery
Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achieving histologically negative margins is paramount to minimizing recurrence. Mohs micrographic surgery (MMS) has transformed margin control in DFSP by... read more 

Dense breasts and women's health: which screenings are essential?

Clinics (Sao Paulo, Brazil)
This review synthesizes current evidence regarding optimal breast cancer screening strategies for women with dense breasts, a population at increased risk due to decreased mammographic sensitivity. A systematic literature review was performed in acco... read more