Prescriptions

Exploring the Bone-Vascular Axis: AI-Augmented Chest CT Analysis in COPD Highlights Association Between Vertebral Bone Density and Arterial Calcifications.

OBJECTIVES: Artificial intelligence (AI) tools enable automated assessment of vertebral bone mineral density (BMD), coronary artery calcification (CAC), and aortic calcification on CT scans, offering multimorbidity analysis in chronic obstructive pulmonary disease (COPD) patients. We aimed to investigate the bone-vascular axis with a focus on COPD severity and inhaled corticosteroid (ICS) use. MET...

Expert Evaluation and Consensus on GPT-4o Summaries of Clinical Letters: Validation and Results of the Framework and Implementation of AI Tools Project.

BACKGROUND: Large language models (LLMs) are increasingly used to summarize clinical documents; yet, automated metrics often inadequately capture clinical relevance and safety. In the initial phase of the "Framework and Implementation of AI Tools," an expert-driven, cocreated evaluation methodology was established to assess LLM-generated discharge letter summaries, combining prompt design consider...

AI-Based Automation for Medication Reconciliation: Scoping Review.

BACKGROUND: Medication reconciliation (MedRec) has the potential to improve patient safety by enhancing the continuity of medication information acros...

Computational neuroelectrophysiology and artificial intelligence for drug-resistant epilepsy: Recent advances, current challenges, and future directions.

Drug-resistant epilepsy (DRE) affects approximately 30% of epilepsy patients, with surgical cure rates below 70%. This challenge drives a fundamental ...

Intravenous extravasation report generation using deep learning, generative artificial intelligence, and visual question answering techniques.

Peripheral intravenous extravasation poses significant clinical challenges, demanding accurate assessment for timely intervention. This study advances...

Dynamic analysis for employment substitution effect of robots fused with deep learning models and artificial intelligence.

The purpose of this study is to address the problem of separation between temporal dynamics and network structure in analyzing the employment substitu...

Deep learning-based automatic field of view planning for prostate MRI in oblique coronal and oblique axial planes.

Accurate field-of-view (FoV) prescription in oblique coronal and axial planes is essential for high-quality prostate MRI but remains operator-dependen...

A Review on Artificial Intelligence in Pharmaceutical Sciences: Opportunities & Challenges.

SignificanceThe review aims to systematically explore the transformative impact of artificial intelligence (AI) on pharmaceutical sciences. It Address...

Leveraging AI and multi-source satellite imagery for multi-hazard monitoring and susceptibility mapping in urban areas.

The increasing frequency and severity of natural hazards, such as floods, wildfires, land degradation, and ground displacement, pose significant chall...

Occupational and socioeconomic predictors of myocardial infarction and coronary heart disease: a machine learning analysis.

BACKGROUND: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide. Although traditional cardiovascular risk models...

Development of AI-assisted 3D-printed degradable hydrogel microneedles for transdermal delivery of progesterone-loaded solid lipid nanoparticles: a novel approach to slowing Alzheimer's disease progression.

Progesterone (PG) is used to slow the progression of neurodegenerative diseases, particularly Alzheimer's disease (AD) in postmenopausal women. Howeve...

TransGAT-DTI: Transformer and Graph Attention Network for Drug-Target Interaction Prediction.

Drug-target interaction (DTI) prediction is of great practical value for discovering, developing, and repurposing drugs, which has tremendous advantag...

Barriers and Facilitators to Patient Acceptance of Artificial Intelligence in Health Care: Systematic Review.

BACKGROUND: Artificial intelligence (AI) in the domain of health care is increasing in prominence. Acceptance is an indispensable prerequisite for the...

[Use of artificial intelligence for next-gen anamnesis and communication in orthopedics & trauma surgery : From chatbots to ambient intelligence].

BACKGROUND: Against the backdrop of increasing patient volumes, rising case complexity, and physicians' limited time, AI-driven systems for anamnesis,...

Flux sampling and graph neural networks for improved gene essentiality prediction in mammalian genome-scale metabolic models.

Gene essentiality, the requirement of a gene for survival or proliferation, is central to understanding cellular processes and identifying drug target...

KG-Bench: Benchmarking Graph Neural Network Algorithms for Drug Repurposing.

MOTIVATION: Drug repurposing leverages existing drugs for new indications, accelerating drug development. Computational methods integrating diverse bi...

Drug Response Profile-Based Machine Learning Enables Strategic Cell Line and Compound Selection for Drug Development.

MOTIVATION: Early-stage drug discovery relies on testing compounds across a limited set of cell lines, making it challenging to capture biological div...

Older adults' perceptions of artificial intelligence in healthcare: an exploratory quantitative analysis.

BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) has the potential to improve healthcare outcomes. There is limited literature regarding older ...

The geographic digital divide among dementia caregivers in the U.S.: a cross-sectional study.

BACKGROUND: Digital health tools, particularly patient portals, can support caregiving, but there is limited understanding of how sociodemographic and...

Machine learning and neural network algorithms for prediction of C5 palsy after posterior surgery for ossification of posterior longitudinal ligament.

PURPOSE: C5 palsy (C5P) is one of the main postoperative complications of ossification of the posterior longitudinal ligament (OPLL). However, an accu...