Artificial Intelligence Medical Compendium

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

Showing 521 to 530 of 6,669 articles

A unified ontological and explainable framework for decoding AI risks from news data.

Scientific reports Jul 15, 2025
Artificial intelligence (AI) is rapidly permeating various aspects of human life, raising growing concerns about its associated risks. However, existing research on AI risks often remains fragmented-either limited to specific domains or focused solel... read more 

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

Scientific reports Jul 15, 2025
The advancement of the Internet of Medical Things (IoMT) has transformed healthcare delivery by enabling real-time health monitoring. However, it introduces critical challenges related to latency and, more importantly, the secure handling of sensitiv... read more 
Computer Security Cloud Computing Humans Monitoring, Physiologic Internet of Things

Preoperative prediction value of 2.5D deep learning model based on contrast-enhanced CT for lymphovascular invasion of gastric cancer.

Scientific reports Jul 15, 2025
To develop and validate artificial intelligence models based on contrast-enhanced CT(CECT) images of venous phase using deep learning (DL) and Radiomics approaches to predict lymphovascular invasion in gastric cancer prior to surgery. We retrospectiv... read more 
Male Middle Aged Adult Stomach Neoplasms Retrospective Studies Female Lymphatic Metastasis Humans Tomography, X-Ray Computed Contrast Media Aged Neoplasm Invasiveness Deep Learning Nomograms

Domain-incremental white blood cell classification with privacy-aware continual learning.

Scientific reports Jul 15, 2025
White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caused by variations in sample sources (e.g., blood or bone marrow) and di... read more 
Privacy Deep Learning Humans Leukocytes Algorithms

Landslide data sample augmentation and landslide susceptibility analysis in Nyingchi City based on the MCMC model.

Scientific reports Jul 15, 2025
This study aims to improve landslide susceptibility analysis in Nyingchi City by addressing the challenge of limited landslide sample data. A total of 11 influencing factors-including elevation, slope, aspect, terrain roughness, terrain moisture inde... read more 

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population.

Scientific reports Jul 15, 2025
Monitoring of cardiac output (CO) is a mainstay of hemodynamic management in the acutely or critically ill patient. Invasive determination of CO using thermodilution, albeit regarded as the gold standard, is cumbersome and bears risks inherent to cat... read more 
Humans Neural Networks, Computer Female Male Middle Aged Machine Learning Computer Simulation Cardiac Output Blood Pressure Determination Blood Pressure

Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer.

Scientific reports Jul 15, 2025
Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the standard treatment for stage II and III esophageal cancers, it is associated with severe adverse events caused by docetaxel. Consequently, this study aime... read more 
Chemotherapy, Adjuvant Humans Machine Learning Fluorouracil Docetaxel Esophageal Neoplasms Middle Aged Aged Cisplatin Polymorphism, Single Nucleotide Prognosis Male Female Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Neoplasm Recurrence, Local

Analysis of baseball behavior recognition model based on Dual-GCN improved by motion weights.

Scientific reports Jul 15, 2025
This research aims to address the poor performance in baseball behavior recognition, insufficient connection between characters, and low accuracy in baseball behavior recognition. A motion weight improvement model based on dual-graph convolutional ne... read more 
Video Recording Baseball Humans Neural Networks, Computer Athletic Performance

Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties.

Scientific reports Jul 15, 2025
The multifaceted effects of the presence of thiophenic compounds on the environment are significant and cannot be overlooked. As heterocyclic compounds, thiophene and its derivatives play a significant role in materials science, particularly in the d... read more 

Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.

Scientific reports Jul 15, 2025
Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. This drug has serious adverse drug reactions (ADRs), including the risk of severe neutropenia (agranulocytosis). Patients who could benefit from clozapin... read more 
Antipsychotic Agents Agranulocytosis Humans Female Machine Learning Adult Drug-Related Side Effects and Adverse Reactions Male Algorithms Middle Aged Clozapine Biomarkers Schizophrenia
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