Artificial Intelligence Medical Compendium

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

Showing 1,261 to 1,270 of 163,745 articles

Insurance claims estimation and fraud detection with optimized deep learning techniques.

Scientific reports
Estimation and fraud detection in the case of insurance claims play a cardinal role in the insurance sector. With accurate estimation of insurance claims, insurers can have good risk perceptions and disburse compensation within proper time, while fra... read more 

A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery.

Scientific reports
The widespread adoption of radio frequency (RF) energy has made electrosurgery a cornerstone of modern surgical procedures, primarily due to its ability to minimize blood loss during, or independent of, tissue incision. Among the various electrosurgi... read more 

TS-Insight: Visualizing Thompson Sampling for Verification and XAI

arXiv
Thompson Sampling (TS) and its variants are powerful Multi-Armed Bandit algorithms used to balance exploration and exploitation strategies in active learning. Yet, their probabilistic nature often turns them into a ``black box'', hindering debuggin... read more 

Taking Language Embedded 3D Gaussian Splatting into the Wild

arXiv
Recent advances in leveraging large-scale Internet photo collections for 3D reconstruction have enabled immersive virtual exploration of landmarks and historic sites worldwide. However, little attention has been given to the immersive understanding... read more 

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

European journal of medical research
Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant risk to the gastrointestinal (GI) tract, which serves as a fundamental component of the human body. It is less invasive to observe the inner part for dis... read more 

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study.

Cardio-oncology (London, England)
BACKGROUND: Neoplasms are a major cause of mortality globally, where early diagnosis is essential for improving outcomes. Current diagnostic methods are often invasive, expensive, and inaccessible in resource-limited settings. This study explores the... read more 

Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica.

Scientific reports
Uncrewed aerial vehicles (UAVs) have become essential for remote sensing in extreme environments like Antarctica, but detecting moss and lichen using conventional red, green, blue (RGB) and multispectral sensors remains challenging. This study invest... read more 

Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin.

Scientific reports
Accurate river discharge forecasting is essential for effective water resource management, particularly in regions prone to monsoonal variability and extreme weather events. This study presents an interpretable deep learning framework for daily river... read more 

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments.

Surgical endoscopy
PURPOSE: To externally validate our surgical skill assessment system, which provides comprehensive real-time feedback based on motion capture (Mocap) metrics of laparoscopic instruments in simulation training environments. read more 

Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertise.

Communications engineering
Healthcare wearables are transforming health monitoring, generating vast and complex data in everyday free-living environments. While supervised deep learning has enabled tremendous advances in interpreting such data, it remains heavily dependent on ... read more