Artificial Intelligence Medical Compendium

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

Showing 32,111 to 32,120 of 220,797 articles

Steering generative models for protein design: Aligning and conditioning strategies.

Current opinion in structural biology
Generative artificial intelligence models learn probability distributions from data and produce novel samples that capture the salient properties of their training sets. Proteins are particularly attractive for such approaches given their abundant da... read more 

Artificial intelligence in critical synthesis of public health responses to violence: A novel application to UK violence prevention policy.

Public health
OBJECTIVES: Artificial intelligence (AI) systems are increasingly applied in public health, yet their use for analysing fragmented, multi-sectoral policy landscapes remains underdeveloped. This study aimed to describe the development and preliminary ... read more 

Artificial intelligence literacy, readiness, and innovativeness: Exploring interrelationships in undergraduate nursing students.

Nurse education today
AIM/OBJECTIVE: This study aimed to examine the relationships between AI literacy, medical AI readiness, and individual innovativeness among nursing students. BACKGROUND: Integrating artificial intelligence (AI) into healthcare requires future nurses ... read more 

Breast area affects the performance of a commercial artificial intelligence algorithm assessment of negative digital breast tomosynthesis exams.

European journal of radiology
OBJECTIVE: To understand whether cancer-neutral image attributes (breast area and number of slices) impact an AI algorithm assessment of negative digital breast tomosynthesis (DBT) screening exams. METHODS: This retrospective cohort study included wo... read more 

Analysis of B-Scan Ultrasonography Using Neural Networks to Predict Risk of Fibrosis in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).

Ultrasound in medicine & biology
OBJECTIVE: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, underscoring the need for tools to stratify individual risk of disease progression. We evaluated whether logistic regression models augme... read more 

Improving patient treatment accuracy using transit dosimetry with Electronic Portal Imaging Device images and deep learning.

Physics and imaging in radiation oncology
BACKGROUND AND PURPOSE: Electronic portal imaging devices (EPID) can be utilized for transit in vivo dosimetry (IVD). A major limitation of standard amorphous Silicon EPID detectors for usage IVD is their non-linear detector response to water equival... read more 

Do AI-based contouring algorithms influence physicians in the online adaptive radiotherapy of patients with bladder cancer?

Technical innovations & patient support in radiation oncology
PURPOSE: In this prospective cross-over study, the precision of manual correction of the clinical target volume (CTV) during online-adaptive radiotherapy (ART) of patients with bladder cancer was investigated in dependence on the input of applied com... read more 

Diagnostic accuracy and deployment readiness of AI for burn depth assessment across imaging modalities: a PRISMA-DTA systematic review and meta-analysis.

International journal of medical informatics
BACKGROUND: AI-based burn depth assessment is rapidly emerging, yet evidence for diagnostic accuracy, generalizability, and deployment readiness remains unclear. METHODS: We performed a PRISMA-DTA-aligned systematic review and meta-analysis. We synth... read more 

Incremental value of deep learning denoising in low-dose coronary CT angiography in predominantly obese patients.

European journal of radiology
OBJECTIVE: To determine the added value of post-hoc convolutional neural network (CNN)-based denoising for low-radiation coronary CT angiography (CCTA). METHODS: In this IRB-approved, post-hoc study, consecutive patients underwent clinically indicate... read more