Emergency Medicine

Prediction of intracerebral hemorrhage hematoma expansion: value of a novel deep learning system score.

OBJECTIVE: To develop and validate a deep learning system (DLS) model predicting hematoma expansion (HE) based on non-contrast (NC) CT and a score combining with clinical variables. MATERIALS AND METHODS: The multicenter retrospective dataset (R), the multicenter prospective dataset (P1), and the single-center prospective dataset (P2) enrolled 2350, 460, and 96 intracerebral hemorrhage (ICH) patie...

Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study.

BACKGROUND: Rib fractures are present in 10%-15% of thoracic trauma cases but are often missed on chest radiographs, delaying diagnosis and treatment. Artificial intelligence (AI) may improve detection and triage in emergency settings. OBJECTIVE: This study aims to evaluate diagnostic accuracy, processing speed, and technical feasibility of an artificial intelligence-assisted rib fracture detectio...

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

BACKGROUND: Bleeding complications are a major contributor to adverse drug events among older inpatients, particularly in those treated with antithrom...

[Expert consensus on the application of artificial intelligence in stomatology].

In recent years, artificial intelligence (AI) has rapidly advanced in the field of oral medicine, with applications extending across disease screening...

From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology.

A Whole Slide Image (WSI) is a high-resolution digital image created by scanning an entire glass slide containing a biological specimen, such as tissu...

Innovations in skin microphysiological systems for nonclinical testing and FDA modernization.

Recent innovations in skin microphysiological systems (MPSs) have gained momentum following regulatory advances such as the FDA Modernization Act 2.0 ...

Decrypting potential mechanisms linking ochratoxin A to hepatocellular carcinoma: an integrated approach combining toxicology, machine learning, molecular docking, and molecular dynamics simulation.

BACKGROUND: Ochratoxin A (OTA), a common food-borne mycotoxin, is a potential human carcinogen, yet the specific molecular mechanisms linking it to he...

Individualized Treatment in Distal and Medium Vessel Occlusion Stroke Using a Validated Explainable Counterfactual Treatment Estimation Model.

OBJECTIVE: The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT)...

In-hospital outcomes of intravascular lithotripsy compared to rotational atherectomy and cutting/scoring balloon angioplasty.

BACKGROUND: Intravascular lithotripsy (IVL) emerged for the treatment of coronary artery calcification with encouraging safety and effectiveness rates...

Implementation of electronic patient-reported outcomes in supportive care for oncology patients.

PURPOSE OF REVIEW: Patient-reported outcomes (PROs) have become increasingly important in oncology, capturing the patient perspective on symptoms, tre...

A Facile Method Based on Faster R-CNN for Cell Detection in Microfluidic Devices.

Cell detection is ubiquitous in the analysis of microfluidic cell assays. In cell biology, immunology, oncology, and toxicology research, studying cel...

Integrated CT pipeline for automatic intracranial hemorrhage evaluation with GPT-enhanced clinical decision support.

OBJECTIVES: Intracranial hemorrhage (ICH) is a time-critical neurological emergency in which rapid CT-based assessment directly informs treatment deci...

Machine learning-driven nanoparticle-enhanced paper chromogenic array sensor approach for detecting sub-lethally injured Salmonella in low moisture food.

Detection of sub-lethally injured pathogens is critical for improving food safety, particularly given regulatory recommendations that microbiological ...

Development of fuzzy logic algorithm for predicting heavy metal content in poultry product.

Poultry products are important global protein sources but are vulnerable to contamination by toxic metals such as copper, cadmium, lead, and arsenic. ...

ECG-Based Prediction of Shock-Refractory Ventricular Fibrillation During Resuscitation Without Interrupting CPR.

Recent advances in reticular frameworks and allied composite materials for ultrasensitive optical detection of biogenic and volatile amines in food spoilage monitoring.

Food spoilage arising from protein degradation and microbial activities leads to the release of biogenic amines (BAs) and volatile amines (VAs), which...

Review on Nanotoxicology and Nano-Bio Interactions: influencing factors, assessment methods, mechanisms, and applications.

Nanotechnology serves as a nanoscale interface that directly bridges our perception of the macroscopic world with the intricate nanoworld where indivi...

Deciphering Multitarget Mechanisms of Phytochemical Flavonoids From Traditional Chinese Medicine: Emerging Insights Into Osteoporosis Therapeutics.

Osteoporosis is a common metabolic bone disorder characterized by reduced bone mass and compromised skeletal microstructure, increasing fracture risk....

Development and temporal validation of machine learning models for predicting clinically relevant medication reconciliation discrepancies at the emergency department: A single-center retrospective study.

OBJECTIVE: Medication discrepancies at hospital admission are common and can cause preventable patient harm. Predictive models can help prioritize med...

Insights into red sea bream iridovirus pathogenesis: Unveiling host-pathogen interactions using membrane yeast two-hybrid and molecular dynamics.

Red sea bream iridovirus (RSIV), a member of the genus Megalocytivirus, poses a substantial threat to global aquaculture through its infection of mari...