Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
The research and innovative applications of generative medical artificial intelligence(GMAI)are rapidly advancing in the healthcare field.Significant breakthroughs of GMAI have been achieved in areas such as generating diagnostic suggestions,optimizing treatment plans,and assisting doctor-patient communication,profoundly reshaping the paradigm of clinical diagnosis and treatment.However,the open-e...
UNLABELLED: Early identification of patients at high risk for multidrug-resistant organism (MDRO) infection in catheter-related bloodstream infection (CRBSI) is crucial for precise antimicrobial therapy. This study aimed to develop and externally validate a machine learning (ML) model to predict this risk, thereby supporting early clinical intervention. Patients with CRBSI were extracted from the ...
OBJECTIVES: To develop a fine-tuned version of the generative pretrained transformer (GPT)-4o artificial intelligence (AI) model able to estimate Func...
BACKGROUND: Delirium is a frequent postoperative complication among patients who have undergone cardiac surgery and is associated with prolonged hospi...
OBJECTIVES: To evaluate the usability, usefulness and impact of a novel point of care natural language processing (NLP) system, Medical information AI...
Effective regulatory oversight is a key step in ensuring that artificial intelligence as a medical device (AIaMD) is safe in real-world clinical setti...
BACKGROUND: Accurate health assessments in the Emergency Department are critical for guiding treatment decisions. However, these assessments are often...
Blepharospasm-related dry eye is a complex multifactorial comorbidity involving neural, ocular surface, and psychological factors, currently facing co...
BACKGROUND: Length of hospital admission after major oncologic surgery is often highly variable. Although in carefully selected patients, early discha...
OBJECTIVE: This study presents a systematic review of natural language generation (NLG) methods and applications in the medical domain, providing quan...
Evidence synthesis (ES) involves rigorous, reproducible methodologies, which are increasingly being presented as 'Living' systematic reviews. As such,...
BACKGROUND: The American College of Gastroenterology (ACG) assembled a multidisciplinary task force to evaluate the current state and future direction...
Chronic pain is one of the most prevalent global health issues, significantly impacting physical and psychological health and resulting in reduced qua...
BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal efficacy when administered before the development of s...
STUDY OBJECTIVES: The rich information in sleep offers insights into brain function and overall health. The current guidelines for sleep staging by th...
INTRODUCTION: Artificial Intelligence (AI) agents are rapidly transforming healthcare delivery, enabling real-time decision support and sophisticated ...
Myometrial lesions are a common indication for pelvic imaging, with accurate characterisation crucial for guiding management. While ultrasonography re...
PURPOSE OF REVIEW: Artificial intelligence is increasingly applied across the trauma care continuum, from prehospital triage to in-hospital decision-m...
Saltwater intrusion (SWI), exacerbated by climate change, poses a significant threat to estuarine ecosystems, impacting drinking water supplies, agric...
Antimicrobial resistance (AMR) poses a critical and growing global health threat, directly causing millions of deaths, with China bearing a significan...