Artificial Intelligence Medical Compendium

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

Showing 30,211 to 30,220 of 220,100 articles

Manifold geometry underlies a unified code for category and category-independent features

bioRxiv
In everyday vision, animals routinely extract from the same visual stimulus both object identity and continuous identity-independent variables such as position and size. It has been shown that linear decoding performance of both kinds of information ... read more 

MEDICALBENCH: EVALUATING LARGE LANGUAGE MODELS TOWARDS IMPROVED MEDICAL CONCEPT EXTRACTION

medRxiv
Medical concept extraction from electronic health records underpins many downstream applications, yet remains challenging because medically meaningful concepts, such as diagnoses, are frequently implied rather than explicitly stated in medical narrat... read more 

Proteomic profiling of CSF reveals stage-specific changes in Amyotrophic lateral sclerosis patients

medRxiv
Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disease with a heterogeneous clinical presentation, complicating early diagnosis and therapeutic monitoring. To identify disease-specific biomarkers, we performed an unbia... read more 

Engaging patient communities in intracranial neuroscience research

medRxiv
Patients who participate in intracranial neuroscience research make invaluable contributions to our understanding of the brain, accelerating the development of neurotechnological interventions. Engagement of patients as part of this research presents... read more 

Deep Learning for Detection of Corneal Perforation on Anterior Segment Optical Coherence Tomography in Microbial Keratitis

medRxiv
Purpose: To develop and evaluate deep learning models for automated detection of corneal perforation in microbial keratitis using anterior segment optical coherence tomography (ASOCT) images. Methods: We enrolled 150 patients with microbiologically c... read more 

Ad-verse Effects: Pharmaceutical Advertising Shifts Drug Recommendations by Consumer-Facing AI

medRxiv
Large language models are increasingly used for clinical guidance while their parent companies introduce advertising. We tested whether pharmaceutical ads embedded in the prompts of 12 models from OpenAI, Anthropic, and Google shift drug recommendati... read more 

Preoperative CT-Based Habitat Radiomics Classifiers Predict Recurrence in Non-Small Cell Lung Cancer

medRxiv
Objectives: Among surgically resected non-small cell lung cancer (NSCLC) patients with similar stage and histopathological characteristics, there is variability in patient outcomes which highlights urgency of identifying biomarkers to predict recurre... read more 

Performance of open-source large language models on nephrology self-assessment program

medRxiv
Background: Large Language Models (LLMs) have demonstrated strong performance in medical question-answering tasks, highlighting their potential for clinical decision support and medical education. However, their effectiveness in subspecialty areas su... read more 

MiSiPi.Rna: an integrated tool for characterizing small regulatory RNA processing.

RNA (New York, N.Y.)
Argonaute proteins mediate gene silencing via small regulatory RNAs that are generated by distinctive biogenesis pathways. In animals, three main classes are recognized: ∼21-24 nucleotide (nt) microRNAs (miRNAs), ∼21-24 nt small-interfering RNAs (siR... read more 

Predictive Model for Mild Autonomous Cortisol Secretion in Patients Evaluated in Artificial Intelligence-Driven Adrenal Incidentaloma Clinic.

Journal of the American College of Surgeons
BACKGROUND: Mild autonomous cortisol secretion (MACS) is present in approximately 20% to 50% of adrenal incidentalomas. These patients do not exhibit the clinical manifestations of overt Cushing's syndrome, and differentiation from nonfunctional adre... read more