Artificial Intelligence Medical Compendium

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

Showing 4,251 to 4,260 of 173,705 articles

Neural radiance fields assisted by image features for UAV scene reconstruction.

Scientific reports Aug 20, 2025
With the rapid advancement of Unmanned Aerial Vehicle applications, vision-based 3D scene reconstruction has demonstrated significant value in fields such as remote sensing and target detection. However, scenes captured by UAVs are often large-scale,... read more 

BioSonix: Can Physics-Based Sonification Perceptualize Tissue Deformations From Tool Interactions?

arXiv Aug 20, 2025
Perceptualizing tool interactions with deformable structures in surgical procedures remains challenging, as unimodal visualization techniques often fail to capture the complexity of these interactions due to constraints such as occlusion and limite... read more 
Sound Human-Computer Interaction Audio and Speech Processing

A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty.

Journal of orthopaedic surgery and research Aug 20, 2025
BACKGROUND: Identifying patients unlikely to achieve meaningful improvement following total knee arthroplasty (TKA) supports more effective shared decision-making (SDM). This study aimed to develop and validate machine learning (ML) models that preop... read more 
Humans Machine Learning Retrospective Studies Female Aged Male Middle Aged Treatment Outcome Predictive Value of Tests Range of Motion, Articular Arthroplasty, Replacement, Knee Preoperative Period Osteoarthritis, Knee Minimal Clinically Important Difference

[Digital and intelligent medicine empowering precision abdominal surgery:today and the future].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025
The complex anatomical structure of abdominal organs demands high precision in surgical procedures, which also increases postoperative complication risks. Advancements in digital medicine have created new opportunities for precision surgery. This art... read more 

ECHO: Frequency-aware Hierarchical Encoding for Variable-length Signal

arXiv Aug 20, 2025
Pre-trained foundation models have demonstrated remarkable success in vision and language, yet their potential for general machine signal modeling-covering acoustic, vibration, and other industrial sensor data-remains under-explored. Existing appro... read more 
Sound Artificial Intelligence Machine Learning Audio and Speech Processing

Effect of discontinuing antipsychotic medications on the risk of hospitalization in long-term care: a machine learning-based analysis.

BMC medicine Aug 20, 2025
BACKGROUND: Antipsychotic medications are frequently prescribed to older residents of long-term care facilities (LTCFs) despite their limited efficacy and considerable safety risks. While discontinuation of these drugs might help reduce their associa... read more 
Humans Machine Learning Retrospective Studies Female Hospitalization Aged Aged, 80 and over Male Registries Antipsychotic Agents Finland Long-Term Care

A scalable machine learning strategy for resource allocation in database.

Scientific reports Aug 20, 2025
Modern cloud computing systems require intelligent resource allocation strategies that balance quality-of-service (QoS), operational costs, and energy sustainability. Existing deep Q-learning (DQN) methods suffer from sample inefficiency, centralizat... read more 

Pioneering 3D and 4D Bioprinting Strategies for Advanced Wound Management: From Design to Healing.

Small (Weinheim an der Bergstrasse, Germany) Aug 20, 2025
Chronic and complex wounds pose a major clinical challenge due to the intricate skin architecture and the multifactorial nature of healing. Conventional wound care often fails to restore native skin function and structure. Advances in 3D and 4D biopr... read more 

A simple guide to the use of Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics.

BioData mining Aug 20, 2025
In an age when machine learning and artificial intelligence are broadly employed, traditional statistics can still provide insightful information and results quickly and at a low computational cost. Statistics, in fact, offers many useful tools to re... read more 

Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland.

Scientific reports Aug 20, 2025
Accurate estimation of the evaporation is of great significance for the management of limited agricultural water resources. However, developing highly accurate and universal data- driven models using time-series analysis methods to achieve precise ev... read more 
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