Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
BACKGROUND: Major depressive disorder (MDD) affects approximately 1 in 6 adults during their lifetime, yet antidepressant selection relies predominantly on trial-and-error, with response rates of only 42% to 53%. While machine learning (ML) models have shown promise in predicting treatment outcomes, most focus on single treatments rather than comparative selection across therapeutic alternatives, ...
INTRODUCTION: Artificial intelligence (AI) and digital pathology have the potential to augment liver biopsy interpretation in MAFLD in clinical practice and trials assessment. However, attitudes and barriers to its implementation have not been systematically explored. METHODS: A survey focusing on conventional liver histology, digital pathology and its AI applications in MAFLD/MASH was conducted a...
High predictive accuracy is frequently misinterpreted as evidence of causal understanding or population-level signal. Models can exploit spurious corr...
BACKGROUND: Acute kidney injury (AKI) is a common complication following pediatric cardiac surgery, frequently leading to poor outcomes and even death...
BACKGROUND: While research on robotic rehabilitation has largely focused on evaluating device effectiveness, there remains a clear need to investigate...
BACKGROUND: Artificial intelligence (AI) is increasingly applied to assess facial reanimation outcomes. However, its clinical utility and evidence hav...
Dental fear and anxiety (DFA) serve as a significant obstacle to oral healthcare, affecting approximately 15% of the adult population. In endodontics,...
Real-world evidence (RWE) has emerged as an essential complement to randomized controlled trial data, providing insights into the effectiveness, safet...
BACKGROUND: Paediatric content in undergraduate nursing education is typically delivered through lectures, simulation, and clinical placements. Constr...
Computational pathology datasets are commonly described using inconsistent and locally defined terminology, often conflating biological units (patient...
Cell fate transitions are driven by regulatory circuitry, yet RNA velocity models cellular dynamics without explicitly accounting for gene regulatory ...
BACKGROUND: Periprosthetic joint infection (PJI) remains one of the most serious complications after joint arthroplasty, and accurate diagnosis contin...
One significant advancement in synthetic biology is the development of synthetic gene circuits with predictive Boolean logic. However, there is no uni...
BACKGROUND: With the aging of the global population, preventing the onset of mobility limitations is considered a worldwide public health priority. OB...
The rapid integration of generative artificial intelligence (Gen AI) into academic writing has outpaced the establishment of consistent norms for resp...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming surgical practice, with applications spanning preoperative planning, intraoperative g...
BACKGROUND: Artificial intelligence (AI) in the domain of health care is increasing in prominence. Acceptance is an indispensable prerequisite for the...
Accurate estimation of the Estimated Ultimate Recovery (EUR) of shale gas wells is essential for development planning and economic evaluation. However...
OBJECTIVES: The automation of medical report generation using large language models (LLMs) could significantly reduce physicians' documentation burden...
BACKGROUND: Proximal junctional kyphosis (PJK) and failure (PJF) remain challenging and incompletely predictable adverse event following adult spinal ...