Artificial Intelligence Medical Compendium

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

Showing 19,281 to 19,290 of 214,800 articles

A hybrid ConvNeXt-BiLSTM framework for robust scene text recognition.

Scientific reports
Scene Text Recognition (STR) is a fundamental computer vision task with broad applications in autonomous navigation, document digitization, and assistive technologies. However, traditional STR models often rely heavily on large synthetic datasets due... read more 

Fostering Cultural Safety Through AI-Based Simulations: A Mixed-Methods Study in Nursing Education.

The Journal of nursing education
BACKGROUND: Increasing cultural diversity requires nurses to ensure cultural safety in patient care. Artificial intelligence (AI)-based simulations offer promising experiential learning, yet evidence of their effectiveness remains limited. This study... read more 

Manganese (Hydr)oxides record the dynamic evolution of a million-year Hesperian Ocean in Utopia Planitia, Mars.

Nature communications
The duration and dynamic evolution of surface water on Mars are key to understanding its past habitability. Utopia Planitia, Mars' largest northern basin, preserves mineralogical signatures of ancient aqueous activity that remains chronologically unc... read more 

Diagnostic accuracy and citation integrity of four large language models on otolaryngology vignettes.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
OBJECTIVES: This study aimed to compare the diagnostic accuracy and citation integrity of four large language models (LLMs) including one general (ChatGPT-4) and three intended for clinical and research use (OpenEvidence, Perplexity, and Pathway), us... read more 

Automatic multiple sclerosis lesion segmentation in the spinal cord using 3 T and 7 T MP2RAGE images.

Multiple sclerosis and related disorders
PURPOSE: To develop a deep learning-based fully automated framework for segmenting multiple sclerosis (MS) lesions in the spinal cord (SC) using images derived from MP2RAGE acquisitions. MATERIALS AND METHODS: This retrospective multicenter study inc... read more 

Smarter FoCUS: AI-guided focused cardiac ultrasound enables novice detection of left ventricular dysfunction.

European heart journal. Digital health
AIMS: Heart failure is prevalent; however, there is no cost-effective screening option. Against formal echocardiography, we assessed the diagnostic performance of focused cardiac ultrasound (FoCUS), performed by novice users guided and interpreted by... read more 

Molecular arms race classifier for decrypting venom peptide and ion channel interactions.

Digital discovery
Animal venoms comprise an astonishing number of peptides, proteins and small molecules. The diversity of venom compounds arises from evolutionary adaptations resulting in both offensive and defensive traits in predators and prey alike. This concept, ... read more