Artificial Intelligence Medical Compendium

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

Showing 48,311 to 48,320 of 224,199 articles

Artificial intelligence-generated synthetic data for cancer research and clinical trials.

Nature reviews. Cancer
Synthetic data, generated through advanced artificial intelligence models, are gaining traction in healthcare research, particularly in high-stakes fields such as haematology and oncology. By replicating statistical properties, intervariable relation... read more 

Defining operational safety in clinical artificial intelligence systems.

NPJ digital medicine
The clinical adoption of artificial intelligence (AI) has focused on enabling automation, but conventional accuracy metrics fail to answer a key question: when is it safe to trust an AI system? We introduce the Safety-Aware Receiver Operating Charact... read more 

Achieving more human brain-like vision via human EEG representational alignment.

Communications biology
Despite advancements in artificial intelligence, object recognition models still lag behind in emulating visual information processing in human brains. Recent studies have highlighted the potential of using neural data to mimic brain processing; howe... read more 

A hybrid blockchain based deep learning model for multivector attack detection in internet of things enabled healthcare systems.

Scientific reports
Novel advances in healthcare-related Internet of Things (IoT) systems have recently had significant impacts on clinical decision-support systems (CDSS) and patient health monitoring. Securing networks using conventional cybersecurity models becomes i... read more 

Artificial intelligence-enhanced microsurgical training: a systematic review.

NPJ digital medicine
Artificial intelligence (AI) offers objective, adaptive tools for skill enhancement in microsurgical training, but evidence is fragmented. This systematic review evaluates AI-enhanced training efficacy compared to traditional methods, focusing on tec... read more 

Artificial intelligence differentiates prefibrotic primary myelofibrosis with thrombocytosis from essential thrombocythemia using digitized bone marrow biopsy images.

Leukemia
Prefibrotic primary myelofibrosis (prePMF) and essential thrombocythemia (ET) are distinct myeloproliferative neoplasms (MPNs) with overlapping clinical features, often leading to diagnostic uncertainty. We developed an artificial intelligence (AI) f... read more 

Intelligent tool wear monitoring using XGBoost, SVR, and DNN models in NMQL environment.

Scientific reports
This study explores the implementation of artificial intelligence (AI)-based predictive frameworks for the precise evaluation of tool wear in the sustainable machining of Hastelloy X using PVD TiAlN-coated carbide inserts. To improve lubrication effe... read more