Artificial Intelligence Medical Compendium

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

Showing 181 to 190 of 234,208 articles

Confidence without consensus? Human versus AI abstracts in urology.

World journal of urology
OBJECTIVE: This study asked whether urologists can tell human-written abstracts apart from artificial intelligence (AI)-written abstracts when both describe the same study, and whether the answer depends on which AI model did the writing. METHODS: Fi... read more 

Deep learning reconstruction in prostate MRI: technical principles, clinical applications, and future directions.

Abdominal radiology (New York)
Multiparametric magnetic resonance imaging (mpMRI) has become integral to the detection, localization, risk stratification, and management of prostate cancer. Increasing utilization of prostate MRI in screening, active surveillance, targeted biopsy g... read more 

MGCLSyn: multimodal graph contrastive learning for drug synergy prediction.

Journal of computer-aided molecular design
Accurate prediction of drug synergy is critical for accelerating the discovery of effective combination therapies, particularly in precision oncology. However, many existing computational approaches rely on limited data modalities or employ simple fu... read more 

Concept before capability - a validity-led approach to AI in OSCEs.

Advances in health sciences education : theory and practice
Objective Structured Clinical Examinations (OSCEs) remain central to the assessment of clinical competence, yet the integration of artificial intelligence (AI) into assessment design, delivery, and scoring raises a fundamental question: what evidence... read more 

Fully automated diaphragm segmentation on routine 2D-cine and 3D thoracic MRI: multireader validation.

European radiology experimental
OBJECTIVE: The diaphragm is central to respiratory mechanics and may be impaired in various diseases. Parametric magnetic resonance imaging (MRI) assessment is limited by time-consuming manual segmentation. We developed and validated fully automated ... read more 

Fluorogenic RNA aptamers in cancer: emerging platforms for molecular imaging, biosensing, and precision oncology.

Molecular biology reports
Fluorogenic RNA aptamers have emerged as powerful molecular tools for cancer imaging, biosensing, and biomarker detection due to their high specificity, low background fluorescence, and genetic encodability. These short RNA molecules activate fluores... read more 

Cross-domain signal grammars of transcription termination.

Advanced biotechnology
Transcription termination establishes gene boundaries, recycles RNA polymerase, and prevents interference between neighboring transcription units. Termination depends on cis-acting elements, trans-acting factors, and the susceptibility of the elongat... read more 

Toward integrated multimodal artificial intelligence in bone marrow examination: current state and open challenges.

Blood research
Bone marrow (BM) examinations are intrinsically multimodal: hematopathologists integrate peripheral blood, aspirate cytomorphology, trephine histology, flow cytometry, cytogenetics, and molecular genetics data into a single interpretation. Because WH... read more 

Large language model assistance for report-based carotid plaque AHA classification: a multi-reader study.

Insights into imaging
OBJECTIVES: To evaluate whether large language model assistance improves radiologists' agreement with a text-based reference standard in inferring the modified American Heart Association carotid plaque classification from free-text MRI reports, and w... read more 

Deepweed: Automated Individual Segmentation and Tracking for Duckweed Lineage Analysis.

Bioinformatics (Oxford, England)
MOTIVATION: Aquatic duckweeds, including Wolffia australiana, are the smallest and fastest growing flowering plants on the planet, with numerous emerging biotechnological applications. Duckweed populations grow through rapid clonal budding, but exist... read more