Artificial Intelligence Medical Compendium

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

Showing 21 to 30 of 6,466 articles

An efficient fusion detector for road defect detection.

Scientific reports
As deep learning networks deepen, detecting multi-scale subtle defects is a challenging task in road images with complex background, due to some fine features gradually disappearing, which significantly increases the difficulty of extracting these fi... read more 

Multi-heat keypoint incorporation in deep learning model to tropical cyclone centering and intensity classifying from geostationary satellite images.

Scientific reports
Hydrometeorological forecasting and early warning involve many hazardous elements, with the estimation of intensity and center location of tropical cyclones (TCs) being key. This paper proposes a new multitask deep learning model with attention gate ... read more 

Identifying monthly rainfall erosivity patterns using hourly rainfall data across India.

Scientific reports
Rainfall erosivity is a key dynamic factor of water erosion estimation, with a significant spatial and temporal variation. This study presents a comprehensive analysis of the spatial patterns and monthly distribution of rainfall erosivity across Indi... read more 

Retrospective study of onychomycosis patients treated with ciclopirox 8% HPCH and oral antifungals applying artificial intelligence to electronic health records.

Scientific reports
We conducted a multicenter retrospective analysis of 408 patients diagnosed with onychomycosis who attended three tertiary care Spanish hospitals. The study was conducted to assess the clinical characteristics and outcomes of onychomycosis patients u... read more 

Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Scientific reports
Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific therapies. Although anisodamine hydrobromide (Ani HBr) reduced 28-day mortality in our prior trial, its mechanisms remained unclear. Here, we integra... read more 

Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms.

Scientific reports
Accurate flood susceptibility mapping (FSM) is a control approach to flood management. This research introduces a novel approach to increase the accuracy of FSM by optimizing the CatBoost algorithm with two swarm-based metaheuristic algorithms: the Z... read more 

Application of CycleGAN-based low-light image enhancement algorithm in foreign object detection on belt conveyors in underground mines.

Scientific reports
Clear monitoring images are crucial for the safe operation of belt conveyors in coal mines. However, in underground environments, low illumination and uneven brightness can significantly degrade image quality, thereby affecting the detection of forei... read more 

Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy.

Scientific reports
This study provides scientific evidence to support sustainable agricultural development and advance the dual carbon goals. A hybrid deep learning model-combining Convolutional Neural Networks and Long Short-Term Memory networks-is developed to evalua... read more 

Advancing deep learning for expressive music composition and performance modeling.

Scientific reports
The pursuit of expressive and human-like music generation remains a significant challenge in the field of artificial intelligence (AI). While deep learning has advanced AI music composition and transcription, current models often struggle with long-t... read more 

AI-assisted intraoperative navigation for safe right liver mobilization in pure laparoscopic donor hepatectomy: an experimental multi-institutional validation study.

Scientific reports
Minimally invasive liver surgery (MILS) offers significant benefits but faces limited adoption due to its steep learning curve. This study explores the potential of artificial intelligence (AI) in assisting the performance of major MILS by providing ... read more