Practice Management

Medicolegal

Latest AI and machine learning research in medicolegal for healthcare professionals.

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Machine learning-driven analysis of soil microplastic distribution in the Bang Pakong Watershed, Thailand.

Microplastics (MPs) have emerged as a pervasive environmental pollutant due to their persistence and...

Primer on large language models: an educational overview for intensivists.

The integration of artificial intelligence (AI) and machine learning-enabled medical technologies in...

New case law and liability risks for manufacturers of medical AI.

Recent case law can shape how innovation unfolds.

Exploring nanoparticles in lungs under COPD conditions for nanospray drug flow and deposition: CFD simulations and AI predictions.

Chronic obstructive pulmonary disease (COPD) plays a heavy burden on individuals and the social heal...

MEGA-GPT: Artificial Intelligence Guidance and Building Analytical Protocols Using MEGA Software.

Over the past three decades, the Molecular Evolutionary Genetics Analysis (MEGA) software has evolve...

Adverse Outcome Pathway and Machine Learning to Predict Drug Induced Seizure Liability.

Central nervous system (CNS) drugs have the highest clinical attrition, often due to CNS-related tox...

Relational Ethics in the Administration of Healthcare Technology: AI, Automation and Proper Distance.

Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularl...

The legal and ethical considerations in cross-border telesurgical procedures.

Telesurgery, or remote surgery, represents a transformative fusion of medicine and technology, enabl...

Clinical Trial Design Approach to Auditing Language Models in Health Care Setting.

PURPOSE: Rapid advancements in natural language processing have led to the development of sophistica...

Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe pat...

AI in practice: Opportunities, obstacles, and outlook.

The integration of artificial intelligence (AI) into clinical practice represents a paradigm shift i...

Quantifying the impact of future climate change on the risk of coral rubble instability across the Great Barrier Reef by 2100.

Coral reef systems are facing unprecedented pressures due to climate change, and stable coral rubble...

Development and validation of the provider documentation summarization quality instrument for large language models.

OBJECTIVES: As large language models (LLMs) are integrated into electronic health record (EHR) workf...

Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data.

BACKGROUND AND OBJECTIVE: Surgical Phase Recognition systems are used to support the automated docum...

Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning Model.

RATIONALE AND OBJECTIVES: Routine knee MRI protocols for 1.5 T and 3 T scanners, do not include T2*-...

Meteorological and traffic effects on air pollutants using Bayesian networks and deep learning.

Traffic emissions have become the major air pollution source in urban areas. Therefore, understandin...

CorrAdjust unveils biologically relevant transcriptomic correlations by efficiently eliminating hidden confounders.

Correcting for confounding variables is often overlooked when computing RNA-RNA correlations, even t...

From Admission to Discharge: Leveraging NLP for Upstream Primary Coding with SNOMED CT.

This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital Clín...

Machine learning-assisted source identification and probabilistic ecological-health risk assessment of heavy metal(loid)s in urban park soils.

The accumulation of heavy metal(loid)s (HMs) in the soils of urban parks in industrial cities has ra...

Accurate Cancer Diagnosis and Treatment Monitoring through Multiplexed Profiling of Protein Markers on Small Extracellular Vesicles.

The detection of small extracellular vesicles (sEVs) is currently a pivotal liquid biopsy approach f...

Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.

Palliative care is known to improve quality of life in advanced cancer. Natural language processing ...

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