Medicolegal

Artificial intelligence in healthcare: Proposal for a new medico-legal methodology in medical liability.

The rapid integration of Artificial Intelligence (AI) into healthcare promises significant benefits but also raises unprecedented ethical, clinical, and legal challenges. Current medico-legal frameworks, primarily designed for human decision-making, are often inadequate to address liability issues arising from algorithmic errors or opaque "black box" models. This paper introduces a novel medico-le...

Pharmacoepidemiologic characterization of cannabis use and symptomatology in rheumatology using natural language processing of electronic health record clinic notes.

Up to 70% of patients with autoimmune rheumatic diseases (ARDs), including rheumatoid arthritis, psoriatic arthritis, and systemic lupus erythematosus, report moderate to severe pain despite controlled inflammation, driving interest in self-management including use of cannabis. We applied natural language processing (NLP) to 2.6 million electronic health record notes from 5051 adults with ARDs see...

Rewriting the Note with Technology: The Evolution and Future of Clinical Documentation.

This article traces the historical evolution and current complexities of clinical documentation, emphasizing its transformation under regulatory, fina...

Ethics in Telepsychiatry.

This article reviews contemporary issues in telepsychiatry and telepsychotherapy. The authors examine ethics within a larger social context, particula...

The evolving landscape of screening, management and treatment strategies of aortic stenosis in ATTR amyloidosis.

Transthyretin amyloid cardiomyopathy (ATTR-CM) and aortic stenosis (AS) frequently coexist in elderly patients, particularly men, creating a complex c...

Sieving Hydrogen Isotopes via Machine Learning Assisted Chemical Vapor Deposition (CVD) of High-Quality Monolayer Hexagonal Boron Nitride (h-BN) on Iron Foils.

Atomically thin two-dimensional (2D) ceramics, such as monolayer hexagonal boron nitride (h-BN), present potential for disruptive advances in separati...

Artificial Intelligence in Surgery Revisited: A 2025 Guide to Understanding and Applying AI Models in Clinical Practice.

Artificial intelligence (AI) and machine learning (ML) are rapidly transforming surgery, moving beyond traditional risk prediction to real-time clinic...

Artificial Intelligence Technologies Supporting Nurses' Clinical Decision-Making: A Systematic Review.

BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to growing healthcare demands. AI, a global trend, hold...

Exploring AI integration in continuing pharmacy education: A survey of emerging institutional practice and initial guidance.

INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing education (CE), offering innovative content generat...

Machine learning-assisted multicolor identification and quantification of antidepressant drugs by waste-derived fluorescent nanoprobes: Towards green AI-based electronic tongue.

Recently, the severe side effects related to the widespread consumption of antidepressants (ADs) have alarmingly created a global challenge for clinic...

Ambient Artificial Intelligence Versus Human Scribes in the Emergency Department.

STUDY OBJECTIVE: To compare the use of ambient artificial intelligence (AI) versus human scribes in the emergency department in terms of note quality ...

Investigation of biochemical alterations in the brain of db/db diabetic mice using integrated FTIR and Raman spectroscopy combined with machine learning.

This study systematically analyzed the molecular metabolic alterations in the brain tissue of type 2 diabetic mice at different disease stages by inte...

Artificial superintelligence alignment in healthcare.

The emergence of Artificial Superintelligence (ASI) in healthcare presents unprecedented opportunities for revolutionizing diagnostics, treatment plan...

Evaluating Artificial Intelligence-Assisted Current Procedural Terminology Coding in Vascular Surgery: A Comparison of ChatGPT Plus and Perplexity Pro Against Finance Department.

BACKGROUND: This study evaluates the performance of ChatGPT Plus and Perplexity Pro in matching Current Procedural Terminology (CPT) codes from vascul...

Deep learning and molecular dynamics reveal promising EZH2 inhibitors for epigenetic cancer targeting.

Fine-tuned REINVENT generative model integrated with structure- and ligand-based computational approaches was applied to identify novel EZH2 inhibitor...

Ambient Artificial Intelligence in Hand Surgery: Insights, Pearls, and Pitfalls From Real-World Use.

BACKGROUND: Documentation burden is a major contributor to surgeon burnout, particularly in high-volume outpatient specialties such as hand surgery. T...

Ambient AI reduces documentation time and enhances quality in a simulated inpatient setting.

BACKGROUND: Clinical documentation is essential for safe and effective patient care but places a considerable clerical burden on clinicians. Ambient a...

Optimization of print parameters for batch and continuous manufacturing of three-dimensional (3D) printed dosage forms using artificial intelligence and machine learning.

Three-dimensional printing (3DP) holds significant potential for developing personalized pharmaceutical oral dosage forms (printlets). 3D printing has...

The Zma-miRNA319-ZmMYB74 Module Regulates Maize Resistance to Stalk Rot Disease by Modulating Lignin Deposition.

Stalk rot, primarily caused by Fusarium graminearum (Fg) and Pythium inflatum (Pi), is a major maize disease responsible for significant yield losses....

A perspective on AI implementation in medical imaging in LMICs: challenges, priorities, and strategies.

OBJECTIVES: Artificial intelligence (AI) promises to accelerate and democratize medical imaging, yet low- and middle-income countries (LMICs) face dis...