Artificial Intelligence Medical Compendium

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

Showing 1,691 to 1,700 of 165,003 articles

Artificial Intelligence and Male Infertility.

JBRA assisted reproduction
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 

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data.

Scientific reports
Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting agricultural activities, and enhancing disaster preparedness. Traditional forecasting methods, such as linear regression, autoregressive models, and ti... read more 

Deep learning neural network of adenocarcinoma detection in effusion cytology.

American journal of clinical pathology
OBJECTIVE: Cytologic examination, which confirms the presence or absence of malignant cells, detects malignant cells from various organs, with adenocarcinoma as the most common histologic type. We developed a deep learning model to detect malignant c... read more 

Video analysis reveals early signs of Bradykinesia in REM sleep behavior disorder and Parkinson's disease.

NPJ Parkinson's disease
Idiopathic REM sleep behavior disorder (iRBD) is a strong predictor of neurodegenerative diseases like Parkinson's disease (PD). Early detection of motor impairments such as bradykinesia is critical for identifying at-risk populations. This study ana... 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 

GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis

arXiv
Detecting, analyzing, and predicting power outages is crucial for grid risk assessment and disaster mitigation. Numerous outages occur each year, exacerbated by extreme weather events such as hurricanes. Existing outage data are typically reported ... read more 

A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing.

Scientific reports
The widespread dissemination of misinformation and the diverse public sentiment observed during the COVID-19 pandemic highlight the necessity for accurate sentiment analysis of social media discourse. This study proposes a hybrid deep learning (DL) m... 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 

Use of time-lapse technology and artificial intelligence in the embryology laboratory: an updated review.

JBRA assisted reproduction
During human in-vitro culture, morphological microscope analysis is routinely used to select embryos with the highest implantation potential for transfer, aiming for successful pregnancy and healthy live birth. This evaluation includes blastomere num... read more