Emergency Medicine

Incorporating artificial intelligence into imaging for surveillance and diagnosis of liver cancer: Innovations, challenges, and clinical translation.

Primary liver cancer, mainly hepatocellular carcinoma and intrahepatic cholangiocarcinoma, remains a...

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presen...

Transplatformer: translating toxicogenomic profiles between generations of platforms.

BACKGROUND: Transcriptomic profiling technologies have advanced the analysis of biological and toxic...

Artificial intelligence in resuscitation - transforming emergency care in the digital age.

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study.

BACKGROUND: Trauma is a major global cause of morbidity and mortality, with haemorrhage representing...

Hierarchy and hope: Exploring AI's role in medicine through a thematic analysis of online discourse.

The healthcare community remains divided on the benefits of artificial intelligence (AI) in medicine...

Integrated omics and machine learning uncover the molecular basis of environmental toxicant 6PPD-Qinduced non-obstructive azoospermia.

BACKGROUND: N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPD-Q), a transformation pr...

Evaluating Plastic Surgery Chatbot Performance: Insights into Medical Triage, Classification Accuracy, and Escalation Trends.

BACKGROUND: The integration of AI chatbots into plastic surgery websites is now standard, providing ...

Improving Clinical Decision-Making in Treating Airway Diseases With an Expert System Built Upon the Free AI Tool Google NotebookLM.

We used the free artificial intelligence (AI) tool Google NotebookLM, powered by the large language ...

Integrative transcriptomics, machine learning, and molecular docking reveal that nicotine exacerbates ischemic stroke: TLR4-dependent activation of NLRP3/caspase-1/GSDMD-mediated microglial pyroptosis.

OBJECTIVE: This study aimed to clarify the molecular mechanisms through which nicotine (Nic) aggrava...

Deep learning-based survival outcomes of REBOA vs resuscitative thoracotomy in trauma: a nationwide cohort study in South Korea.

Network toxicology and experimental validation reveal TDCPP as an emerging environmental risk factor for chronic kidney disease.

BACKGROUND: Tris(1,3-dichloro-2-propyl) phosphate (TDCPP) is a widely used organophosphorus flame re...

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 ...

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 ch...

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 sli...

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

Recent innovations in skin microphysiological systems (MPSs) have gained momentum following regulato...

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 ...

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 calcificati...

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, ...

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, immunolog...

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 C...