Artificial Intelligence Medical Compendium

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

Showing 36,671 to 36,680 of 223,137 articles

Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still's disease.

Nature communications
Autoinflammation of unknown origin remains amongst the most enigmatic of systemic autoinflammatory disorders (SAID), with systemic autoinflammatory symptoms in the absence of a molecular or clinical diagnosis with a recognized SAID. Here, we aim to u... read more 

Blinded But Biased: Students Prefer Chatbot Until They Know It Is One.

The Journal of nursing education
BACKGROUND: As artificial intelligence (AI) becomes increasingly integrated into education, understanding student perceptions of AI-generated support is critical. This pilot study examined how Doctor of Nursing Practice (DNP) students evaluate statis... read more 

Key Measures for Evaluating Diagnostic Accuracy in Multi-Class Classification: An Overview and Simulation-Based Comparison.

Korean journal of radiology
Recent advancements in artificial intelligence have led to increased interest in predictive modeling across various domains, including medicine. Although numerous metrics have been established for binary classification, the growing adoption of multi-... read more 

Skin Tone in Hyperspectral Imaging and Its Implications for Fairness in AI.

Journal of biophotonics
Artificial intelligence (AI) is increasingly applied in healthcare, but concerns remain about bias affecting under-represented groups. We investigated whether skin tone is systematically encoded in hyperspectral imaging data and how this affects clas... read more 

Artificial Intelligence in Dental Treatment Planning and Diagnostic Decision-Making: A Systematic Review and Meta-Analysis.

Clinical and experimental dental research
OBJECTIVES: This systematic review and meta-analysis aimed to synthesize the available evidence on the use of AI in dental diagnostic decision-making and treatment planning, evaluating both diagnostic accuracy and its influence on clinical decision-m... read more 

Deep Learning-Enhanced Resonance Frequency Analysis for Dental Implant Stability Assessment.

Clinical and experimental dental research
OBJECTIVES: Accurate assessment of dental implant stability is critical for predicting osseointegration outcomes and guiding clinical decision-making. Resonance frequency analysis (RFA) is a widely adopted non-invasive method for measuring implant st... read more 

Automated identification of radiotherapy treatment sites from unstructured physician notes.

Journal of applied clinical medical physics
PURPOSE: Ambiguous or incomplete documentation is a recurrent bottleneck in radiation oncology workflows, leading to inefficiencies in communication and potential treatment delays. Large language models (LLMs) pose a solution to addressing these ambi... read more 

Deep Learning for Automated Tumor Segmentation of Rectal Cancer on T2-Weighted Magnetic Resonance Images.

Yonsei medical journal
PURPOSE: To develop a deep learning (DL)-based automated segmentation model for rectal cancer on T2-weighted (T2W) magnetic resonance (MR) images. MATERIALS AND METHODS: A total of 458 patients who underwent baseline rectal MR imaging were retrospect... read more