Practice Management

Medicolegal

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

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Responsible AI in Action: Planning through Implementation of a Mortality Model for Palliative Care

Interest in the use of prediction models to support referrals to palliative care is surging. Few hig...

Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes

Artificial intelligence (AI) and statistical models designed to predict same-admission outcomes for ...

DualAlign: Generating Clinically Grounded Synthetic Data

Synthetic clinical data are increasingly important for advancing AI in healthcare, given strict priv...

Assessment of a zero-shot large language model in measuring documented goals-of-care discussions

Goals-of-care (GOC) discussions and their documentation are important process measures in palliative...

Compartment-specific Fat Distribution Profiles have Distinct Relationships with Cardiovascular Ageing and Future Cardiovascular Events

Obesity is a global public health priority and a major risk factor for cardiovascular disease (CVD)....

Accents Still Confuse AI: Systematic Errors in Speech Transcription and LLM-Based Remedies

Accurate and timely documentation in the electronic health record (EHR) is essential for delivering ...

Retrospective Evaluation of a Generative AI-Enabled Electronic Medical Record System in Primary Health Care Facilities in Kenya

We conducted a retrospective evaluation of an electronic medical record-embedded large language mode...

Leveraging Foundation Models in Maternal and Child Health: A Systematic Review

Maternal and child health (MCH) represents a critical domain requiring accurate, timely, and data-dr...

A Scoping Review of Algorithmic Equity, Data Diversity, and Inclusive Design in the Transformer Era of Clinical NLP

The rapid digitization of healthcare has positioned transformer-based natural language processing (N...

Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge

Electronic Health Records (EHRs) store vast amounts of clinical information that are difficult for h...

Evaluating an LLM-Assisted Workflow for Clinical Documentation: A Pilot Randomized Controlled Trial on Time and Quality

Large language models (LLMs) have been investigated for clinical documentation, with concerns about ...

Falls in Assisted Living Facilities: Can AI improve documentation and reduce injury?

Falls among elderly residents in assisted living facilities (ALFs) are prevalent, costly, and freque...

Predicting Amyloid Positivity Through Proteomic and Machine Learning Approaches

Alzheimer’s disease is a progressive neurodegenerative disorder where early detection remains diffic...

Clinical Implementation of an AI Algorithm for Substance Misuse Screening in Hospitalized Adults

Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...

Employing Consensus-Based Reasoning with Locally Deployed LLMs for Enabling Structured Data Extraction from Surgical Pathology Reports

Surgical pathology reports provide essential diagnostic information critical for cancer staging, tre...

How effective is generative AI advice for the academic advancement of faculty?

The SingHealth Duke-NUS Academic Medical Center manages over 2,800 clinical faculty members and proc...

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