Artificial Intelligence Medical Compendium

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

Showing 1,731 to 1,740 of 6,954 articles

A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors.

Scientific reports May 27, 2025
Breast cancer remains a leading cause of mortality in women, underscoring the need for timely and accurate diagnosis. This paper addresses this challenge by introducing a comprehensive explainable federated learning framework for breast cancer predic... read more 
Humans Neural Networks, Computer Artificial Intelligence Female Risk Factors Breast Neoplasms Deep Learning

Determining time since deposition of latent fingerprints on forensic adhesive tape using ultrafast DESI-MS and machine learning.

Scientific reports May 26, 2025
Fingerprints provide indisputable forensic evidence for establishing identity. Latent fingerprints, often visualized with black magnetic powder and recovered with adhesive tape, can be matched to police databases for identification. However, determin... read more 

High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks.

Scientific reports May 26, 2025
Engineered T-cell receptor (eTCR) systems rely on accurately generated T-cell receptor (TCR) sequences to enhance immunotherapy predictability and efficacy. The most variable and crucial part of the TCR receptor is the CDR3 sequence region. Current m... read more 
Humans Neural Networks, Computer Computer Simulation Receptors, Antigen, T-Cell Complementarity Determining Regions Generative Adversarial Networks

Efficient TD3 based path planning of mobile robot in dynamic environments using prioritized experience replay and LSTM.

Scientific reports May 26, 2025
To address the challenges of sample utilization efficiency and managing temporal dependencies, this paper proposes an efficient path planning method for mobile robot in dynamic environments based on an improved twin delayed deep deterministic policy ... read more 

FedCVG: a two-stage robust federated learning optimization algorithm.

Scientific reports May 26, 2025
Federated learning provides an effective solution to the data privacy issue in distributed machine learning. However, distributed federated learning systems are inherently susceptible to data poisoning attacks and data heterogeneity. Under conditions... read more 

RGE-YOLO enables lightweight road packaging bag detection for enhanced driving safety.

Scientific reports May 26, 2025
Foreign objects such as packaging bags on the road pose a significant threat to driving safety, especially at high speeds or under low-visibility conditions. However, research on detecting road packaging bags remains limited, and existing object dete... read more 

Projecting the effect of climate change on multiple Geomorphological hazard using machine learning data driven approaches.

Scientific reports May 26, 2025
Land subsidence (LS) and collapsed pipes (CP) pose environmental and socio-economic threats in arid and semi-arid regions. This study assesses the effect of climate change to address these problems in Khorasan-Razavi province, Iran. Thus, we mapped s... read more 

Anomaly detection using machine learning and adopted digital twin concepts in radio environments.

Scientific reports May 26, 2025
Reliable and secure wireless communication is essential in Industry 4.0. This work presents an anomaly detection framework using Digital Twin (DT) technology to simulate and monitor dynamic radio environments. By modeling network conditions and attac... read more 

Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization.

Scientific reports May 26, 2025
Vehicular Ad-hoc Networks (VANETs) have garnered a lot of consideration and research in last decades. By enhancing safety and comfort, VANETs are essential to the development of self-driving and semi-self-driving cars. Security risks that are specifi... read more 

A multi-object detection method for building fire warnings through artificial intelligence generated content.

Scientific reports May 26, 2025
Timely fire warnings are crucial for minimizing casualties during building fires. In this paper, a multi-object detection method through artificial intelligence generated content (AIGC) is proposed to improve building fire warning capability. First, ... read more 
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