Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 225,279 articles

Deep learning-based CT model for non-invasive prediction of tertiary lymphoid structures in pancreatic cancer: a multicenter study with prospective validation in an immunochemotherapy cohort.

Journal for immunotherapy of cancer
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies. Tertiary lymphoid structures (TLS) have emerged as key components of the tumor immune microenvironment, associated with improved survival and enhanced im... read more 

Patient preferences for the use of AI in chest X-ray result processing and communication.

Radiography (London, England : 1995)
INTRODUCTION: Artificial Intelligence (AI) tools are increasingly used in imaging such as X-rays, but there is limited evidence about how patients view the use of AI in the diagnostic process. METHODS: Using the Technology Acceptance Model (TAM) to s... read more 

Overcoming cancer resistance in pancreatic cancer: toward dynamic precision oncology.

Molecular biology reports
Pancreatic ductal adenocarcinoma (PDAC) remains a highly lethal malignancy, largely because of its profound and evolving therapeutic resistance. Resistance is not determined by a single molecular alteration but arises from interconnected mechanisms, ... read more 

Proteolysis Targeting Chimeras (PROTACs): Design and Mechanism.

Handbook of experimental pharmacology
Proteolysis-targeting chimeras (PROTACs) are driving a fundamental shift in small-molecule drug discovery from the traditional "occupation-driven" to the innovative "event-driven" pharmacological paradigm. This chapter systematically reviews the deve... read more 

Expanding the E3 Ligase Landscape: From Small Molecule to Biological Targeted Protein Degradation.

Handbook of experimental pharmacology
Targeted protein degradation (TPD), particularly proteolysis-targeting chimeras (PROTACs), has emerged as a powerful strategy for eliminating disease-associated proteins through the ubiquitin-proteasome system. However, current PROTACs rely heavily o... read more 

PRISM: Phase-Resolved Isotropic Subtraction Mapping for Automated Multi-Phase CT Digital Subtraction Angiography

medRxiv
Multi-phase contrast-enhanced computed tomography (CT) is the gold standard for renal cell carcinoma (RCC) characterization, yet clinical interpretation relies on subjective visual comparison across phases. We present PRISM (Phase-Resolved Isotropic ... read more 

Integrating structured and unstructured EHR data to characterize social and behavioral factors associated with frequent emergency department use among patients with cardiovascular disease

medRxiv
Objective: The goal was to integrate structured and unstructured data from the electronic health record (EHR) to identify social and behavioral determinants of health (SBDH) factors and evaluate their association with high emergency department (ED) u... read more 

Human Myopia: Past, Present and Future.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
The study of human myopia spans over two millennia, yet many of the principles shaping current research and management trace their origins to the scientific advances of the late nineteenth century. This review takes a broad historical perspective on ... read more 

Machine learning integrated explainable artificial intelligence in predicting toxicities of enfortumab vedotin in urothelial carcinoma: an exploratory study.

Expert review of anticancer therapy
BACKGROUND: Enfortumab vedotin (EV) therapy for advanced urothelial carcinoma is limited by adverse events (AEs). Early identification of high-risk patients is needed. This proof-of-concept study evaluated whether machine learning (ML) with explainab... read more 

The role of artificial intelligence in the diagnosis and prognosis of traumatic brain injury based on brain CT scans: a systematic review.

Neurosurgical review
Traumatic brain injury (TBI) is a leading cause of emergency department visits and a major contributor to injury-related mortality and long-term neurological disability. Non-contrast computed tomography (CT) is the gold-standard imaging modality for ... read more