Artificial Intelligence Medical Compendium

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

Showing 73,501 to 73,510 of 235,503 articles

Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy.

Journal of medical economics
BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third most common cause of cancer-related death. Cirrhosis is a major contributing factor, accounting for over 90% of HCC cases. With the high mortality rate... read more 

Combating Antimicrobial Resistance: Role of Key Stakeholders with Focus on the Pharmaceutical Sector.

Pharmaceutical medicine
Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biological, social, and economic factors. Despite widespread recognition of its impact, the antimicrobial resistance crisis continues to deepen because of in... read more 

Rapid trauma classification under data scarcity: an emergency on-scene decision model combining natural language processing and machine learning.

Medical & biological engineering & computing
Trauma has become a major cause of increased morbidity and mortality worldwide. In emergency response, the classification of injuries is crucial as it helps to quickly determine the criticality of the injured, allocate rescue resources rationally, an... read more 

Development and validation of personalized risk prediction models for patients with IgA nephropathy: a nationwide multicenter cohort study.

Journal of nephrology
BACKGROUND: Effective prediction of immunoglobulin A nephropathy (IgAN) progression is crucial for early intervention and management. We aimed to develop and validate distinct IgAN prediction models for clinical and research applications. read more 

Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ C]Ro15-4513 PET scan and voxel-wise parametric map generation.

EJNMMI research
BACKGROUND: Spectral analysis is a model-free PET quantification technique that treats the time-space signal as an impulse response to a bolus injection. Band-pass spectral analysis, considering specific frequency ranges, enables calculation of separ... read more 

Automated MRI protocoling in neuroradiology in the era of large language models.

La Radiologia medica
PURPOSE: This study investigates the automation of MRI protocoling, a routine task in radiology, using large language models (LLMs), comparing an open-source (LLama 3.1 405B) and a proprietary model (GPT-4o) with and without retrieval-augmented gener... read more 

Dental age estimation by comparing Demirjian's method and machine learning in Southeast Brazilian youth.

Forensic science, medicine, and pathology
This study evaluated the applicability of combining Demirjian's method with machine learning algorithms to estimate the chronological age of children and adolescents from southeastern Brazil, using dental development stages as predictive variables. A... read more 

Evaluating the Accuracy and Readability of ChatGPT in Addressing Patient Queries on Adult Spinal Deformity Surgery.

Global spine journal
Study DesignCross-Sectional.ObjectivesAdult spinal deformity (ASD) affects 68% of the elderly, with surgical intervention carrying complication rates of up to 50%. Effective patient education is essential for managing expectations, yet high patient v... read more 

Machine Learning for Genomic Profiling and Drug Discovery in Personalised Lung Cancer Therapeutics.

Journal of drug targeting
Lung cancer is a prevalent and lethal malignancy characterised by the uncontrolled growth of abnormal cells in lung tissues, often leading to functional impairment and metastasis. With approximately 2 million new cases and 1.8 million deaths annually... read more