Artificial Intelligence Medical Compendium

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

Showing 72,811 to 72,820 of 235,381 articles

[Coronary heart disease-a German paradox : Using AI-based technology to solve a relevant healthcare problem].

Herzschrittmachertherapie & Elektrophysiologie
The German healthcare system is facing challenges in diagnosing coronary artery disease (CAD). These include high mortality rates, even when advanced medical technology is used, and an excessive number of coronary angiographies. A key issue is that c... read more 

Development and Validation of a Machine Learning-Based Risk Prediction Model for Delirium in Older Inpatients: A Prospective Cohort Study.

Journal of advanced nursing
AIMS: To develop and validate a machine learning-based risk prediction model for delirium in older inpatients. DESIGN: A prospective cohort study. METHODS: A prospective cohort study was conducted. Eighteen clinical features were prospectively collec... read more 

Pharmacological Haemodynamic Management in the Intensive Care Unit: The Evolution of the Nurse's Role Over 50 Years.

Journal of advanced nursing
AIM: To examine the evolution of intensive care nurses' roles in pharmacological haemodynamic management from 1975 to 2025 and to explore projected responsibilities through 2075. DESIGN: A scholarly commentary. METHODS: A critical synthesis of litera... read more 

Acceptability and feasibility of a new-generation alcohol biosensor: A mixed methods evaluation in a large community sample.

Experimental and clinical psychopharmacology
Wearable alcohol biosensors offer an innovative solution for real-time alcohol monitoring, yet concerns about comfort, privacy, and social acceptability have limited their adoption. This study presents the largest real-world evaluation to date of a n... read more 

Deep learning for automated 3D assessment of rotator cuff muscle atrophy and fat infiltration prior to total shoulder arthroplasty.

Journal of shoulder and elbow surgery
BACKGROUND: Rotator cuff muscle pathology affects outcomes following total shoulder arthroplasty, yet current assessment methods lack reliability in quantifying muscle atrophy and fat infiltration. We developed a deep learning-based model for automat... read more 

Detection and quantification of fluorescein angiography leakage: From manual grading to advances in machine learning.

Survey of ophthalmology
Fluorescein angiography (FA) has long been a cornerstone for evaluating retinal vascular leakage in diseases like uveitis, diabetic retinopathy, and macular degeneration, but its interpretation relies on subjective grading that can vary between clini... read more 

Optimizing guideline-directed medical therapy in chronic kidney disease and type 2 diabetes mellitus patients in primary care.

The American journal of medicine
BACKGROUND: Despite KDIGO (Kidney Disease: Improving Global Outcomes) recommendations for renin-angiotensin-aldosterone system inhibitors (RAASi's) and sodium-glucose cotransporter-2 inhibitors (SGLT2i's) as first-line medications in chronic kidney d... read more 

Bilirubin biosensors for liver disease management.

Clinica chimica acta; international journal of clinical chemistry
Bilirubin is a vital biomarker that plays a significant role in assessing liver function and diagnosing hemolytic disorders. While current detection methods are indeed sufficient for clinical practice, the accurate and timely detection of bilirubin l... read more 

Chatbots in sexual and reproductive health: bridging the divide in accessibility and equity.

Contraception
BACKGROUND: Chatbots are increasingly utilized in the health care landscape, including in sexual and reproductive health (SRH). These tools have shown significant potential in enhancing accessibility to health education and services, particularly wit... read more 

The Translational Dermatology Initiative: Aiming at a New Disease Classification of Inflammatory Skin Diseases.

JID innovations : skin science from molecules to population health
Although precision medicine is at least partially realized in dermato-oncology, the field of dermatoimmunology comprising inflammatory skin diseases is only at the step from traditional toward stratified medicine. This lack of innovation leaves clini... read more