Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 221,076 articles

AI-based segmentation of occult cervical lymph node metastases: potential reduction of cytokeratin staining.

Histopathology
BACKGROUND: Detection of occult cervical lymph node metastases is critical for accurate staging and treatment planning in oral cavity squamous cell carcinoma (OSCC). As part of standard management, elective neck dissection is commonly performed in co... read more 

Label-free ovarian cancer histopathological diagnosis using two-photon autofluorescence microscopy with a joint denoising and segmentation framework.

Light, science & applications
Two-photon autofluorescence (TPAF) microscopy is a promising modality for rapid, label-free assessment of unstained tissue, but is fundamentally limited by the poor visibility of nuclei, which are one of the gold-standard cancer biomarkers, due to th... read more 

Machine learning defines a histone deacetylase-associated transcriptional prognostic signature with single-cell resolution in breast cancer.

Biochemical and biophysical research communications
BACKGROUND: Breast cancer (BC) is a highly heterogeneous malignancy, and transcriptional programs associated with histone deacetylases (HDACs) may provide clinically relevant prognostic information. However, the downstream prognostic significance of ... read more 

Deep molecular profiling of lung neuroendocrine tumours and supra-carcinoids.

Molecular cancer
BACKGROUND: Lung neuroendocrine tumours (NETs, also known as carcinoids) are rapidly rising in incidence worldwide but have unknown aetiology and limited therapeutic options beyond surgery. The current WHO classification, based on mitotic count and p... read more 

Spatiotemporal evolution and stage-driven mechanisms of population-land urbanization coupling coordination in counties of the yangtze river delta urban agglomeration: An empirical analysis based on multi-source remote sensing data.

PloS one
The coupled and coordinated development of population and land urbanization represents the core goal of new-type urbanization. However, existing research lacks refined measurement of the population-land urbanization coupling relationship at the count... read more 

Evaluating hybrid human-LLM coding workflows for qualitative research in medical education: A generalizability study.

Medical teacher
INTRODUCTION: Large language models (LLMs) are increasingly proposed as deductive coders in qualitative research, but their measurement properties remain underexplored. This study applies generalizability theory to evaluate whether hybrid human-LLM w... read more 

Transient Ischemic Attack Diagnosis using Explicit Criteria Outperforms Artificial Intelligence: a Prospective Cohort Study.

Cerebrovascular diseases (Basel, Switzerland)
BACKGROUND: Diagnosing transient ischemic attacks (TIAs) remains challenging, particularly in primary care and emergency department settings where specialist neurologist consultation may be limited. Recently developed Explicit Diagnostic Criteria for... read more 

The EU pollinator hub controlled vocabulary: An ontology for pollinators.

PloS one
The Pollinator Ontology (PolOn), a subset of the EU Pollinator Hub Controlled Vocabulary (EUPH-CV), is an ontology for information and data on pollinators and their interactions with the abiotic and biotic environment, particularly humans. It contain... read more 

Cross-Guided Dual-View Pre-Training for Fracture-Healing Assessment on Orthogonal Radiographs.

IEEE transactions on bio-medical engineering
Radiographic fracture-healing assessment is subjective and time-consuming, and existing automated methods often underuse the complementary information in paired anteroposterior (AP) and lateral (LAT) radiographs. To address this limitation, we propos... read more 

Association between body composition and recurrence in stage II-III colon cancer: a retrospective cohort study.

Clinical nutrition ESPEN
INTRODUCTION: Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are used to determine management. Patients with advanced disease often become cachectic, losing skeletal muscle mass and density, as well as subcutaneous f... read more