Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 224,814 articles

Artificial intelligence in advanced liver disease: From risk stratification to decision.

Journal of the Chinese Medical Association : JCMA Sep 10, 2026
The diagnosis and management of liver cirrhosis and portal hypertension have been challenging for hundreds of years, placing a tremendous burden on medical and social resources. In routine practice, clinicians usually depend on various documented sco... read more 

Artificial intelligence for early sepsis detection and dynamic prognostication in onco-critical care.

World journal of critical care medicine Sep 9, 2026
Critically ill cancer patients have a unique physiological profile marked by severe immunosuppression, frailty, and multimorbidity, making traditional tools like Acute Physiology and Chronic Health Evaluation II or Sequential Organ Failure Assessment... read more 

Explanation generation: Questions direct exploration in semantic space.

Cognition Sep 8, 2026
In everyday reasoning and scientific inquiry, explanations help people make sense of their experiences and observations. We investigate how people generate new possible explanations. Specifically, we study how the phrasing of "why" questions shapes e... read more 

Variability in Journal and Publisher Policies on Artificial Intelligence Use in Manuscript Preparation: An Orthopaedic Perspective.

JB & JS open access Sep 9, 2026
BACKGROUND: Artificial intelligence (AI)-generated text has been detected in nearly 90% of orthopaedic peer-reviewed publications, yet public disclosure of AI use remains extremely low. Whether journal and publisher policies for authors on AI use are... read more 

Patient satisfaction and performance of the A8+ TouchCare Nano in children and adolescents with type 1 diabetes mellitus.

World journal of clinical pediatrics Sep 9, 2026
BACKGROUND: The role of automated insulin delivery systems in type 1 diabetes mellitus (T1DM) is constantly expanding, merging continuous glucose monitoring readings with a control algorithm and a continuous subcutaneous insulin infusion device, i.e.... read more 

Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review.

World journal of clinical pediatrics Sep 9, 2026
BACKGROUND: Neonatal heart rate (HR) is an important parameter in the evaluation of newborn health and viability in the immediate postnatal period. AIM: To evaluate the accuracy, reliability, and clinical applicability of emerging non-contact and art... read more 

Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review.

World journal of clinical pediatrics Sep 9, 2026
BACKGROUND: Neonatal heart rate (HR) is an important parameter in the evaluation of newborn health and viability in the immediate postnatal period. AIM: To evaluate the accuracy, reliability, and clinical applicability of emerging non-contact and art... read more 

Patient satisfaction and performance of the A8+ TouchCare Nano in children and adolescents with type 1 diabetes mellitus.

World journal of clinical pediatrics Sep 9, 2026
BACKGROUND: The role of automated insulin delivery systems in type 1 diabetes mellitus (T1DM) is constantly expanding, merging continuous glucose monitoring readings with a control algorithm and a continuous subcutaneous insulin infusion device, i.e.... read more 

Mitigating limb ischemia in veno-arterial extracorporeal membrane oxygenation: A narrative review of evolving role of distal perfusion catheters.

World journal of critical care medicine Sep 9, 2026
Acute limb ischemia (ALI) is a serious complication of femoral artery cannulation during peripheral veno-arterial extracorporeal membrane oxygenation (VA-ECMO), with reported incidence rates approaching 17%. Although several contributing factors have... read more 

Artificial intelligence for early sepsis detection and dynamic prognostication in onco-critical care.

World journal of critical care medicine Sep 9, 2026
Critically ill cancer patients have a unique physiological profile marked by severe immunosuppression, frailty, and multimorbidity, making traditional tools like Acute Physiology and Chronic Health Evaluation II or Sequential Organ Failure Assessment... read more 
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