Artificial Intelligence Medical Compendium

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

Showing 20,501 to 20,510 of 215,962 articles

Dissecting self-supervised learning strategies for transfer learning in MRI prostate cancer diagnosis.

Scientific reports May 11, 2026
Deep learning (DL) has driven major progress in medical imaging diagnosis. However, its effectiveness is often limited by the scarcity of large annotated datasets and the poor generalization of models to small, out-of-distribution (OOD) data. Self-su... read more 

Dynamic analysis for employment substitution effect of robots fused with deep learning models and artificial intelligence.

Scientific reports May 11, 2026
The purpose of this study is to address the problem of separation between temporal dynamics and network structure in analyzing the employment substitution effect of robots. The study proposes a dynamically coupled model integrating Graph Convolutiona... read more 

A novel intelligent hybrid reinforcement learning framework for autonomous decision making in complex health cognitive systems.

Scientific reports May 11, 2026
Existing reinforcement learning (RL) approaches struggle to balance real-time decision-making with adaptive learning in dynamic healthcare environments. We propose a brain-inspired hybrid RL framework that integrates model-based (MB) planning and mod... read more 

Deep learning-based automatic field of view planning for prostate MRI in oblique coronal and oblique axial planes.

Scientific reports May 11, 2026
Accurate field-of-view (FoV) prescription in oblique coronal and axial planes is essential for high-quality prostate MRI but remains operator-dependent and variable. We developed and evaluated a ResNet-based deep learning framework for automated FoV ... read more 

Decoupling forgetting and preservation in federated unlearning via knowledge distillation.

Scientific reports May 11, 2026
Federated Learning (FL) enables collaborative model training without sharing raw data, but compliance with data privacy regulations such as the "Right to be Forgotten" requires mechanisms to remove specific clients' contributions from trained models.... read more 

Machine learning prediction for menopause women with low bone mass: a multicenter and retrospective study.

Scientific reports May 11, 2026
Early diagnosis of postmenopausal osteoporosis provides an opportunity to detect and prevent fractures. This study uses machine learning (ML) techniques to enhance the predictive ability for low bone mass (LBM) risk. A retrospective cross-sectional s... read more 

YOLOv8 computer vision for automated offside detection in professional football validated through supervised learning.

Scientific reports May 11, 2026
Offside calls are integral to maintaining fairness and competitive integrity in football, yet current officiating processes are constrained by limitations in accuracy despite technological advancements. This investigation developed and validated an a... read more 

Construction of a prediction model for depression risk in elderly patients with chronic obstructive pulmonary disease based on machine learning algorithms and analysis of influencing factors.

Scientific reports May 11, 2026
Patients with chronic obstructive pulmonary disease (COPD) are at a high risk of depression, which not only accelerates disease progression but also significantly reduces patients' quality of life. This study aimed to develop a model for the accurate... read more 

A 30-m annual distribution dataset of major crops in China from 2001-2024.

Scientific data May 11, 2026
Accurate, continuous and high-resolution mapping of multiple crop types, including both grain and cash crops, is vital for supporting sustainable agricultural development. While substantial progress has been made in mapping major grain crops, China s... read more 

RiceBlock-0.2: secured precision rice farming framework using blockchain technology.

Scientific reports May 11, 2026
The integration of Internet of Things (IoT), blockchain, and artificial intelligence (AI) holds great promise for precision agriculture, yet challenges remain in secure data acquisition, authenticated device interactions, and transparent decision-mak... read more 
Popular Topics
Recent Journals