Latest AI and machine learning research in product alert for healthcare professionals.
BACKGROUND AND PURPOSE: Robot-assisted gait training (RAGT) is well established for post-stroke gait...
Artificial intelligence (AI) is increasingly shaping the pharmaceutical industry. This ACCP commenta...
OBJECTIVES: Radioiodine-131 (131I) therapy is an important post-thyroidectomy treatment, but lesion ...
BACKGROUND: Surgical site infections (SSIs) remain a major cause of health care-associated infection...
AIMS: Traditional pharmacovigilance detects single drug-event associations but cannot readily charac...
BACKGROUND: Large language models (LLMs) are increasingly used as health information intermediaries....
Antimicrobial resistance (AMR) is an emerging global problem, particularly for, resource-limited cou...
Gaps in pharmaceutical governance could widen with the adoption of AI, even as AI promises better ph...
The emergence of Post-COVID sequelae (PCS) represents a global challenge. However, understanding of ...
Ecological Momentary Interventions (EMIs) using machine learning (ML)-based assignment algorithms ma...
INTRODUCTION: Head and neck squamous cell carcinoma (HNSCC) is the seventh most common cancer global...
INTRODUCTION: Digital therapeutics (DTx) are evidence-based software interventions that can function...
INTRODUCTION/OBJECTIVE: The progressive nature of dementia is represented by a reduction in two or m...
Artificial intelligence (AI) has emerged as a major area of interest in pathology, driven by improve...
The global prevalence of microplastics (MPs) presents a pressing environmental challenge, yet assess...
BACKGROUND: Growing rates of obesity and an increased demand for bariatric surgery have led to short...
BACKGROUND AND OBJECTIVES: Hemorrhagic shock requires timely resuscitation to maintain organ perfusi...
INTRODUCTION: Traumatic brain injury (TBI) is a major cause of long-term disability worldwide, but t...
Objective: Evidence for predictors of long-term outcomes in personality disorder (PD) treatment rema...
Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited ...
OBJECTIVE: To examine the potential errors of a general large language model (LLM) (ie, Claude 3.5 S...