Artificial Intelligence Medical Compendium

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

Showing 1,921 to 1,930 of 165,462 articles

Affordable Automated Modules for Lab-Scale High-Throughput Synthesis of Inorganic Materials.

Chemistry (Weinheim an der Bergstrasse, Germany)
The development of sustainable advanced materials is increasingly driven by the need for sustainable, faster, scalable, and more efficient research workflows. Advancements in computational screening, high-throughput experimentation, and artificial in... read more 

AMuCS: Affective multimodal Counter-Strike video game dataset.

Scientific data
Video games are a versatile and multi-faceted stimulus which can elicit complex player experiences. As a consequence, several datasets have been curated or created for studying human cognition, behaviours, and physiological responses where video game... read more 

Machine learning models based on routine blood and biochemical test data for diagnosis of neurological diseases.

Scientific reports
Globally, nervous system diseases are the leading cause of disability-adjusted life-years and the second leading cause of mortality in the world. Traditional diagnostic methods for nervous system diseases are expensive. So this study aimed to constru... read more 

A Novel Deep Reinforcement Learning Approach for Dynamic Proportional-Integral Control in Scanning Probe Microscopy.

Small (Weinheim an der Bergstrasse, Germany)
Scanning Probe Microscopy (SPM) measurements often encounter challenges due to the nonlinear and time-varying behavior of materials, as well as abrupt changes in structure, properties, or topography. These issues can lead to system instability and im... 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 

Text-related functionality and dynamics of visual human pre-frontal activations revealed through neural network convergence.

Communications biology
Human prefrontal areas show enhanced activations when individuals are presented with images, under diverse task conditions. However, the functional role of these increased activations remains a deeply debated question. Here we addressed this question... 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 

A fully annotated pathology slide dataset for early gastric cancer and precancerous lesions.

Scientific data
Gastric cancer, a significant global health concern, exhibits high morbidity and mortality, especially in advanced stages. Timely diagnosis and intervention are crucial for improving patient outcomes, with Endoscopic Submucosal Dissection (ESD) playi... read more 

HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides.

Communications biology
We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukocyte antigens (HLAII) on the surface of antigen presenting cells. HLAIIPred is trained using a Transformer-based neural network and a dataset comprisin... read more 

Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI.

Scientific reports
BACKGROUND: Neoadjuvant therapy plays a pivotal role in breast cancer treatment, particularly for patients aiming to conserve their breast by reducing tumor size pre-surgery. The ultimate goal of this treatment is achieving a pathologic complete resp... read more