The AI industry is buzzing with chatbots that write code, a trend some call "vibe-coding." This approach lets AI handle ...
Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...
You've seen the model's best bets for San Francisco 49ers vs. Jacksonville Jaguars. Now, get against the spread, total and ...
Philadelphia is a 3.5-point favorite in the latest Eagles vs. Buccaneers odds from SportsLine consensus, while the over/under ...
A new study from researchers at the Mount Sinai Health System suggests that a simple tweak to how artificial intelligence (AI ...
Main outcome measures The main outcome was the type of injuries observed by international healthcare workers during the ...
A small adjustment to how artificial intelligence (AI) systems assign diagnosis codes could help physicians save time, cut down on billing errors, and improve patient records, according to new ...
A new study by researchers at the Mount Sinai Health System suggests that a simple tweak to how artificial intelligence (AI) ...
"Our previous study showed that even the most advanced AI could produce the wrong codes, sometimes nonsensical ones, when left to guess," says co-corresponding senior author Eyal Klang, MD , Chief of ...
Aim In the UK, pharmacological management of patients with heart failure (HF) occurs predominantly in general practice. Using ...
Avoid billing errors and manage your revenue better through these best practices for medical billing processes.
Objective Youth with childhood-onset SLE (cSLE) have increased risk of serious infection. It is unknown how much of this risk ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results