Artificial Intelligence Medical Compendium

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

Showing 831 to 840 of 200,219 articles

Digital Transformation of Medicines Regulation in Africa-Perspectives from a Stakeholder Convening.

Clinical pharmacology and therapeutics
Regulatory authorities worldwide are developing strategies to integrate artificial intelligence (AI) into the lifecycle of health products, technologies, and medicines. While regulators share goals of improving efficiency, strengthening decision-maki... read more 

Application of artificial intelligence-generated clinical cases in case-based learning of histology and embryology.

Anatomical sciences education
To investigate the effectiveness of a case-based learning (CBL) approach in histology and embryology, integrating instructor-reviewed, AI-assisted clinical cases within a Structure-Function-Clinical (SFC) framework. Undergraduate students from Hangzh... read more 

Quantitative study on the discriminative value of fingerprint minutiae.

Journal of forensic sciences
Traditional fingerprint identification primarily relies on the number of matching minutiae between the questioned and reference prints, where identity is determined by whether the match count exceeds a fixed threshold. However, this "minimum matching... read more 

A forensic evaluation method of stable diffusion-generated images using feature-based likelihood ratio by deep learning features.

Journal of forensic sciences
With the increasing realism of artificial intelligence (AI)-generated images from Stable Diffusion and similar models, forensic practitioners face significant challenges in image authenticity verification. This study proposes a feature-based likeliho... read more 

Endothelial activation and stress index associated with in-hospital mortality risk in patients with end-stage renal disease: a retrospective analysis based on the MIMIC database and machine learning model development.

BMC nephrology
BACKGROUND: End-stage renal disease (ESRD) is a severe chronic renal disorder with high mortality, requiring dialysis treatment or kidney transplantation. The endothelial activation and stress index (EASIX), reflecting inflammatory status and endothe... read more 

Insights into middle-aged men (40-70) who died by suicide: a nationwide mixed methods study in the Netherlands.

BMC public health
BACKGROUND: Globally, middle-aged men dominate suicide statistics in many regions. To understand their heightened vulnerability, we examine the interplay between sociodemographic factors, contextualized through psychosocial perspectives. METHODS: Dat... read more 

Development and external validation of the HCH and HPMS prognostic indices for sepsis: a retrospective model development study using a Multi-Objective Non-Newtonian Fluid optimization algorithm.

BMC medical informatics and decision making
BACKGROUND: The pathological heterogeneity of sepsis makes it challenging for traditional scoring systems to balance early-warning sensitivity, dynamic progression characterization, and mechanistic interpretability. Developing a multi-objective optim... read more 

Prospective germline exome and machine learning-based risk score identify predictive and prognostic biomarkers of immunotherapy outcomes in advanced non-small cell lung cancer.

Journal of translational medicine
BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). However, a substantial proportion of patients do not experience durable clinical benefits, and established tumour... read more 

Perceptions, challenges, and innovations in educational rehabilitation for students with intellectual disabilities in Saudi Arabia.

BMC medical education
This study evaluated stakeholder perceptions, implementation barriers, and innovation readiness in educational rehabilitation programs for students with intellectual disabilities in Saudi Arabia. A quantitative cross-sectional design was employed usi... read more 

Accuracy of machine learning in predicting recurrence risk of lumbar disc herniation after percutaneous endoscopic lumbar discectomy: a systematic review and meta-analysis.

Journal of orthopaedic surgery and research
BACKGROUND: Lumbar disc herniation (LDH) is a major cause of low back pain and radicular leg pain. Percutaneous endoscopic lumbar discectomy (PELD) is a widely used minimally invasive procedure for the treatment of LDH; however, recurrent lumbar disc... read more