Artificial Intelligence Medical Compendium

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

Showing 15,291 to 15,300 of 213,137 articles

Detection and mitigation of abusive web traffic using convolutional neural networks.

Scientific reports
Illicit websites depend upon abusive Traffic Distribution Systems (TDSs) to generate user traffic for malicious. Traffic Distribution Systems are the intermediate websites that redirect the HTTP traffic from online advertisements. However, such syste... read more 

Objective-function-guided automated VMAT planning reduces OAR dose, low-dose exposure, and inter-planner variability in breast radiotherapy.

Scientific reports
This study presents and evaluates an automated volumetric modulated arc therapy (VMAT) planning framework for breast cancer based on objective function value (OFV)-guided optimization. The primary objective is to systematically improve organ-at-risk ... read more 

A digital twin-driven computation and analysis framework for low-altitude airspace.

Scientific reports
This study aims to address critical challenges in low-altitude airspace management, including high dynamic complexity, substantial safety hazards, and information fragmentation, and proposes a digital twin-enabled computation and analysis framework. ... read more 

Maximizing pancreatic carcinoma classification performance using parrot optimized vision transformer.

Scientific reports
Pancreatic cancer is a rare kind of cancer that is detected during the final stages. This is because the symptoms are very common and also do not show up in the starting phase. Hence an automated system for identification and classification of pancre... read more 

Early fusion of laser and acoustic features for human orientation detection in non-line-of-sight environments.

Scientific reports
For search and rescue, security, and autonomous systems, determining the orientation of a human presence outside the line of sight is as crucial as detecting them. Knowing the human's orientation plays a crucial role in determining the intervention s... read more 

Hallucination risk and trustworthiness of generative AI systems based on IVMPF-MABAC decision-making strategies.

Scientific reports
Hallucination risk and trustworthiness of a generative artificial intelligence system play an important and vital role in daily-life scenarios. The terms Hallucination risk and trustworthiness are very famous for the generative artificial intelligenc... read more 

Integrating temporal morphophysiological and genomic markers for precise classification of flowering time in cannabis.

Scientific reports
Indigenous Cannabis sativa populations exhibit remarkable diversity in their flowering-time responses to photoperiod cues, reflecting adaptation to varied environments. Understanding the genetic and physiological mechanisms underlying this variation ... read more 

Development and validation of a machine learning-based risk prediction model for hyperkalemia in patients with chronic kidney disease.

Scientific reports
To develop an optimal predictive model for hyperkalemia in patients with chronic kidney disease (CKD). Clinical data of CKD patients were collected from Shandong Provincial Hospital Affiliated to Shandong First Medical University between January 2017... read more 

Patient-friendly simplification and translation of neuroradiology impressions using artificial intelligence.

Scientific reports
Healthcare systems in the United States are now mandated to provide patients with immediate access to medical results. Access to complex results prior to appropriate clinical follow-up may cause confusion and fear, especially in populations with limi... read more 

Design and classify innovative antimicrobial and dual- and multi-functional peptides using generative artificial intelligence.

Scientific reports
Antimicrobial resistance is a growing global crisis, where antimicrobial peptides (AMPs) have emerged as promising alternatives to conventional antibiotics due to their unique mechanisms of action. However, traditional peptide design approaches, espe... read more