Prescriptions

Impact of a medication history software on a pharmacy-driven admission medication history and reconciliation program.

PURPOSE: Medication errors frequently occur during transitional periods between outpatient and inpatient care. This study aims to evaluate the impact of an outpatient-interfacing medication history software on medication history capture rates in a pharmacy-driven admission medication history and reconciliation program utilizing a hybrid pharmacy technician staffing model. METHODS: This retrospecti...

Regulatory Approaches to Cybersecurity Risk Management for AI-Enabled Medical Device Software in Korea, the United States, and the European Union: Comparative Document Analysis.

BACKGROUND: Software-based and AI-enabled medical devices are increasingly networked and updatable, expanding the attack surface and making cybersecurity governance intersect with quality management and postmarket oversight. Regulated device risk management nevertheless remains primarily oriented toward patient-safety harms under ISO 14971 frameworks, which may not fully capture cybersecurity risk...

Perception and encoding of narrative events during continuous speech listening in background noise.

Everyday speech comprehension involves interpreting overarching themes as they unfold continuously overtime and structuring experiences for effective ...

[Diagnostic performance of a dual-stage deep learning model based on cone beam CT-derived multi-view two-dimensional slices for assessing ankylosed impacted teeth].

Objective: To develop and validate a dual-layer deep learning model based on cone-beam CT (CBCT)-derived multi-view two-dimensional (2D) slices for th...

Prediction models for highly scalable technology-assisted differential diagnostics of autism spectrum disorder.

BACKGROUND: Diagnosing autism spectrum disorder (ASD) in adulthood is time-consuming and markedly complicated by the requirement to distinguish betwee...

Machine Learning Model for Predicting Suicide Risks Among Patients With Posttraumatic Stress Disorder Who Received Opioids.

BACKGROUND: The cooccurrence of posttraumatic stress disorder (PTSD) and opioid use heightens suicide risk. We aimed to develop and validate a machine...

Predicting medication non-adherence using machine learning: Incorporating Complementary and Alternative Medicine (CAM) beliefs in Malaysian chronic disease patients.

Medication non-adherence among chronic disease patients remains a major contributor to poor health outcomes and medication wastage, particularly in mu...

Intelligent Automation Improved Efficiency in Pharmacovigilance Safety Signal Assessment.

Pharmacovigilance is the science involving the detection, assessment, understanding, and prevention of adverse events associated with drugs, biologics...

[Artificial intelligence in the care of geriatric patients-more of a curse or more of a blessing?].

BACKGROUND: Artificial intelligence (AI) is conquering medicine in many fields. With geriatric patients, it is important not only to understand the de...

Multilevel dynamics of the brain, hormones, mind, and behavior in social human-robot interaction.

As robots enter homes, workplaces, and health care settings, sustaining trust during social interaction becomes a central challenge for human-robot in...

Voriconazole Exacerbates Subtherapeutic Linezolid Exposure in Critically Ill Patients with Staphylococcus aureus infection: Drug-Drug Interaction Evaluation and Dose Optimization Based on Population Modeling and Ensemble Learning.

OBJECTIVE: This study systematically evaluated the pharmacokinetic interactions between linezolid and voriconazole in critically ill patients with Sta...

RenalTox-XAI: Applicability-Domain-Constrained and Descriptor-Guided QSAR Framework for Early Screening and Safety Prioritization of Drug-Induced Renal Injury.

Drug-induced renal injury (DIRI) remains a major cause of drug attrition and post-marketing safety concerns, highlighting the need for reliable early-...

Safety design guidelines for clinician-AI interaction in computer-aided diagnosis systems using system-theoretic framework with explainability validation.

Ensuring the safety of Artificial Intelligence-enabled Computer-Aided Diagnosis systems is critical because diagnostic errors can have serious consequ...

Artificial intelligence for pediatric fracture detection: impact on diagnostic revisions and patient recall rates in a tertiary emergency setting.

PURPOSE: Artificial intelligence (AI) can support and enhance radiologists in musculoskeletal imaging, but evidence of clinical benefit is still lacki...

Deep learning-based prediction of drug-target interactions between antiviral drugs and SARS-CoV-2 proteins using an image-based representation approach.

Drug repurposing offers a time-efficient strategy for identifying therapeutics against emerging pathogens such as SARS-CoV-2. In this study, we apply ...

Heterogeneity in the association between antihypertensive medications and Alzheimer's disease and related dementias risk: A multidimensional machine learning analysis to inform drug repurposing.

BackgroundAlzheimer's disease and related dementias (ADRD) place an immense burden on patients, families, and health systems in the United States. Hyp...

Dual-granularity feature learning reveals static and dynamic mechanisms of ncRNA-drug interactions.

Accurately identifying interactions between non-coding RNAs (ncRNAs) and drugs is crucial for elucidating drug mechanisms and advancing drug repositio...

Mechanistic advances in nanomedicine, nucleic acid therapies, and AI-driven research on cervical cancer.

Cervical cancer pharmacotherapy is significantly limited by physiological and cellular barriers that restrict drug access to therapeutic targets, resu...

Automated classification of dental implant brands and prosthetic platform sizes on panoramic radiographs using deep learning.

STATEMENT OF PROBLEM: Incomplete clinical records can be a significant hurdle in implant dentistry, transforming routine maintenance or a restorative ...

The Role of Pharmacists in Tackling Mpox: Challenges and Future Prospects: A Narrative Review.

BACKGROUND AND AIMS: Pharmacists play a key role in managing and mitigating mpox through clinical care, pharmacovigilance, vaccine management, and res...