A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Suting emphasized that the tool could aid clinicians in timely and accurate grading of radiation dermatitis, thereby informing treatment adjustments and supportive care strategies. The use of an ...
ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
Abstract: This study aims to compare the performance of five different models for spelling error detection, a crucial task in natural language processing. In this ...
Abstract: The rapid development of the modern world has increased the use of social media. One of the most popular social media platforms in Indonesia is X, where users can share tweets to express ...
Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
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