Latest AI and machine learning research in medicolegal for healthcare professionals.
BACKGROUND: Structured and standardized documentation is critical for accurately recording diagnosti...
Artificial intelligence (AI) holds considerable promise for transforming clinical diagnostics. While...
BACKGROUND: Traditional rule-based natural language processing approaches in electronic health recor...
We present flow matching for reaction coordinates (FMRC), a novel deep learning algorithm designed t...
OBJECTIVES: Lower rates of goals of care (GOC) conversations have been observed in non-white hospita...
Large language models (LLMs) are generative artificial intelligence models that create content on th...
BACKGROUND: Assessment of the gastroesophageal junction (GEJ) is an integral part of gastroscopy; ho...
This letter responds to the article "Encouragement vs. liability: How prompt engineering influences ...
Machine learning models learn low-dimensional representations from complex high-dimensional data. No...
Undocumented Orphaned Wells (UOWs) are wells without an operator that have limited or no documentati...
BACKGROUND:  Large language models (LLMs) have shown promise in various professional fields, includi...
PURPOSE: There are many radiological datasets for breast cancer, some which have supported the devel...
CONTEXT: Efficiently tracking Advance Care Planning (ACP) documentation in electronic heath records ...
N-methyladenosine (m6A) is the most prevalent chemical modification in eukaryotic mRNAs and plays ke...
The integration of artificial intelligence (AI) into healthcare is becoming increasingly mainstream....
Accurate estimation of coastal and in-land water quality parameters is important for managing water ...
Calcium oxalate (CaOx) nephrolithiasis constitutes approximately 75% of nephrolithiasis cases, resul...
Coarse-grained models have provided researchers with greatly improved computational efficiency in mo...
Artificial intelligence (AI) applications are becoming increasingly common in radiology. However, en...
BACKGROUND:  Healthcare provider burnout is a critical issue with significant implications for indiv...
IMPORTANCE: Serial functional status assessments are critical to heart failure (HF) management but a...