Artificial Intelligence Medical Compendium

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

Showing 901 to 910 of 160,607 articles

Beyond Architectures: Evaluating the Role of Contextual Embeddings in Detecting Bipolar Disorder on Social Media

arXiv
Bipolar disorder is a chronic mental illness frequently underdiagnosed due to subtle early symptoms and social stigma. This paper explores the advanced natural language processing (NLP) models for recognizing signs of bipolar disorder based on user... read more 

Learning-Based Interface for Semantic Communication with Bit Importance Awareness

arXiv
Joint source-channel coding (JSCC) is an effective approach for semantic communication. However, current JSCC methods are difficult to integrate with existing communication network architectures, where application and network providers are typicall... read more 

Knowledge-augmented Patient Network Embedding-based Dynamic Model Selection for Predictive Analysis of Pediatric Drug-induced Liver Injury.

IEEE transactions on bio-medical engineering
OBJECTIVE: To address the challenges of developing machine learning frameworks for Electronic Health Records (EHRs)-based predictive tasks, such as the intricate occurrence mechanism of clinical events, patient diversity, and the inherent limitations... read more 

Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection

arXiv
Scene understanding is one of the core tasks in computer vision, aiming to extract semantic information from images to identify objects, scene categories, and their interrelationships. Although advancements in Vision-Language Models (VLMs) have dri... read more 

From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation

arXiv
We present NeckSense, a novel wearable system for head pose tracking that leverages multi-channel bio-impedance sensing with soft, dry electrodes embedded in a lightweight, necklace-style form factor. NeckSense captures dynamic changes in tissue im... read more 

Artificial Intelligence and Plastic Surgery Resident Education.

Plastic and reconstructive surgery. Global open
A transformation of plastic surgery resident education is crucial and necessary: a conversion from a passive to an interactive, structured format. The employment of artificial intelligence holds substantial promise to accomplish that transformation, ... read more 

The role of artificial intelligence in maternal and child health: Progress, controversies, and future directions.

PLOS digital health
This debate paper examines the transformative potential of Artificial Intelligence (AI), specifically through Machine Learning (ML), in enhancing preventive measures in maternal and child health (MCH). With the proliferation of Big Data, ML has becom... read more 

Optimization of Ethanol Extraction Conditions From Sun-Dried Apricot and Prediction of Antioxidant, Phenolic, and Flavonoid Contents and Their Effects on HCT116 Cells Using Artificial Neural Networks.

Food science & nutrition
This study aimed to optimize the ethanol extraction conditions of sun-dried apricot ( L.) and evaluate the antioxidant capacity, phenolic, and flavonoid contents of the obtained extracts. Response surface methodology (RSM) was applied to determine th... read more 

FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data.

PloS one
Pneumonia, a severe lung infection caused by various viruses, presents significant challenges in diagnosis and treatment due to its similarities with other respiratory conditions. Additionally, the need to protect patient privacy complicates the shar... read more 

Frequency domain manipulation of multiple copy-move forgery in digital image forensics.

PloS one
Copy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-... read more