Artificial Intelligence Medical Compendium

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

Showing 461 to 470 of 158,332 articles

Resolving out of Africa event for Papua New Guinean population using neural network.

Nature communications
The demographic history of the Papua New Guinean (PNG) population is a subject of interest due to its early settlement in New Guinea, its relative isolation and substantial Denisovan ancestry. Previous research suggested an admixture with an early di...

A Flexible Single-Sensor MEMS E-Nose with Dual-Temperature Modulation for VOCs Classification and Breath-Based Silent Communication.

Small (Weinheim an der Bergstrasse, Germany)
Electronic noses (e-noses) have become indispensable analytical platforms for gas detection. However, conventional e-nose systems face significant limitations in portable and wearable implementations due to their bulk and high-power consumption. Here...

Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques.

Scientific reports
Dementia is a degenerative and chronic disorder, increasingly prevalent among older adults, posing significant challenges in providing appropriate care. As the number of dementia cases continues to rise, delivering optimal care becomes more complex. ...

Transfer Learning With Adam Gold Rush Optimization for Endometrial Disease Classification Using Histopathological Image.

Microscopy research and technique
Uterine cancer also referred to as endometrial cancer, which significantly impacts the female reproductive organs. The early diagnosis increases the survival rates and also prevents the progression of endometrial cancer thereby, the novel Transfer Le...

Making data markets: Assetization, valuation, and proxy work in a digital health start-up.

Social studies of science
Digital data are increasingly framed as essential resources in health and medicine, implicating diverse actors who work to transform them into different forms of value. In this article we focus on the diverse and contingent valuation practices that s...

Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments.

Scientific reports
Cybersecurity has often gained much popularity over the years in a fast-evolving discipline, as the number of cybercriminals and threats rises consistently to stay ahead of law enforcement. Recently, cybercriminals have become more complex with their...

A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images.

Scientific reports
Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detection. However, existing diagnostic models often struggle to extract complex patterns from high-resolu...

Exploring Fairness Interventions in Open Source Projects

arXiv
The deployment of biased machine learning (ML) models has resulted in adverse effects in crucial sectors such as criminal justice and healthcare. To address these challenges, a diverse range of machine learning fairness interventions have been deve...

SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data.

Scientific data
Accurate and continuous monitoring of soil moisture (SM) is crucial for a wide range of applications in agriculture, hydrology, and climate modelling. In this study, we present a novel machine learning (ML) based framework for generating a continuous...