Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 232,702 articles

[Acute respiratory distress syndrome secondary to severe pneumonia: how to perform precise and individualized assessment].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Severe pneumonia is the most common cause of acute respiratory distress syndrome (ARDS), and precise and individualized assessment is a prerequisite for improving therapeutic outcomes. Of all bedside assessment tools, respiratory physiological indica... read more 

[Artificial intelligence-driven early warning for severe pneumonia: pathways and challenges from data integration to clinical decision-making].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Severe pneumonia, characterized by rapid progression and high heterogeneity, is a leading cause of patient mortality. Early identification of high-risk patients is crucial for improving outcomes. Traditional risk stratification tools, such as CURB-65... read more 

From examinations to consultations: a physician-reviewed Japanese benchmark for large language models in traditional Kampo medicine

medRxiv
Objectives: Patients and clinicians increasingly ask large language models (LLMs) about Kampo, Japan's traditional medicine. Yet evaluations of LLMs have measured accuracy on examination questions, which ask what a model knows; a consultation asks wh... read more 

[Precision fluid management and artificial intelligence-assisted decision-making in severe pneumonia induced septic shock].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Severe pneumonia-induced septic shock is one of the most representative complex syndromes in pulmonary critical care medicine. Its pathophysiology results from the combined effects of alveolar-capillary barrier injury, infection-associated vasodilati... read more 

Augmenting colonoscopy with artificial intelligence and robotic assistance: a human-factors scoping review toward a task-based shared autonomy paradigm.

Journal of robotic surgery
Colonoscopy is central to colorectal cancer prevention but remains a high-demand psychomotor and cognitive procedure, characterized by operator dependency, variable performance, and substantial physical and mental workload. Increasing evidence links ... read more 

Precision medicine in MASLD: Integrating genetics, multi-omics, and artificial intelligence for risk stratification and targeted therapy.

Clinica chimica acta; international journal of clinical chemistry
Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly termed nonalcoholic fatty liver disease (NAFLD), encompasses a heterogeneous clinical spectrum ranging from isolated hepatic steatosis to metabolic dysfunction-associated stea... read more 

Machine Learning-Based Brightfield Detection of Anti-Fibrotic Effects in a 3D Retinal Fibrosis Model.

SLAS discovery : advancing life sciences R & D
Three-dimensional (3D) spheroid and microtissue models are increasingly used in phenotypic drug discovery, yet their scalability for high-throughput screening often remains limited, constrained by the cost and complexity of conventional imaging-based... read more 

Precision medicine in MASLD: Integrating genetics, multi-omics, and artificial intelligence for risk stratification and targeted therapy.

Clinica chimica acta; international journal of clinical chemistry
Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly termed nonalcoholic fatty liver disease (NAFLD), encompasses a heterogeneous clinical spectrum ranging from isolated hepatic steatosis to metabolic dysfunction-associated stea... read more 

Age-dependent brain mechanics are linked to microstructural changes.

Acta biomaterialia
Accurate knowledge of brain tissue mechanics is essential for understanding the pathologies that cause mechanical changes and for developing reliable computer models for neurosurgical procedures. However, the age-related changes in brain mechanics an... read more 

Large esophageal varices predict hepatocellular carcinoma in newly diagnosed cirrhosis: insights from machine learning and propensity score analysis.

Annals of hepatology
INTRODUCTION AND OBJECTIVES: Hepatocellular carcinoma (HCC) is a major complication of chronic liver disease (CLD) requiring improved risk stratification. Esophageal varices (EVs), as manifestations of severe portal hypertension, may promote HCC deve... read more