Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
PURPOSE: To develop and evaluate a deep learning-based framework for quantifying thyroid eye disease (TED) severity before and after teprotumumab treatment, an insulin-like growth factor-1 receptor inhibitor, and to create a predictive model for forecasting individual patient responses to therapy. DESIGN: A retrospective cohort study was conducted at a single institution, utilizing an image-based ...
OBJECTIVES: To evaluate current evidence on prenatal neurobehavioural assessment using four-dimensional ultrasound (4D-US), structured scoring systems, and emerging artificial intelligence (AI) platforms, and to develop an integrated framework for early identification of neurodevelopmental vulnerability. METHODS: A narrative review of the literature from 2000 to 2025 was conducted following PRISMA...
A COMMENTARY ON: Abbott LP, Saikia A, Anthonappa RP. Artificial intelligence platforms in dental caries detection: a systematic review and meta-analys...
BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden globally. Early diagnosis and intervention can poten...
This study examines the dynamic relationship between roadside alcohol check rates and traffic mortality across 248 cities in mainland China from 2014 ...
PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemic health into coordinated health care delivery mod...
PURPOSE: Children with cerebral/cortical visual impairment (CVI) have neurological conditions that impact visual pathways in the brain, leading to def...
OBJECTIVE: Microbial keratitis (MK) is one of the leading causes of blindness in low- and middle-income countries that often requires timely diagnosis...
PURPOSE: To provide a historical review tracing the evolution of oculomics, the study of ocular biomarkers of systemic disease, from early clinical ob...
Generative artificial intelligence (GenAI) is reshaping cultural and creative design and raising new questions about how consumers evaluate museum cul...
Artificial intelligence (AI) is now routinely integrated into radiology workflows, including worklist prioritisation, image interpretation, quantifica...
Symptom checkers are apps and websites that assist medical laypeople in diagnosing their symptoms and determining which course of action to take. When...
With the increasing accessibility of large language models to the public, questions arise about whether, and under what conditions, social-emotional i...
OBJECTIVE: As generative AI tools like ChatGPT-4 gain traction in academic writing, questions arise regarding their credibility, scientific depth, and...
Using Artificial Intelligence (AI) to review academic papers is happening and cannot be ignored by journals. There is a need to find a balance between...
PURPOSE: There has been significant progress in detecting Alzheimer's disease (AD) using retinal imaging. We developed an ensemble learning-based deep...
Although preliminary evidence suggests that humans often react aversely to artificial intelligence (AI)-generated creative works, we have little under...
BACKGROUND: The Ventral Rectopexy International Expert Panel recently published a consensus update on ventral rectopexy. The ability of large language...