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Latest AI and machine learning research in reform for healthcare professionals.

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Batch evaluation of collective owned commercialised construction land using machine learning.

The market entry of collective owned commercialised construction land (CCCL) is a crucial element of...

Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks.

The trove of information contained in child maltreatment narratives represents an opportunity to str...

Carbon co-benefits of digital economy and green finance: empirical evidence from China.

Addressing the carbon co-benefits of policy tools requires simultaneous improvements in both the qua...

Smart-Plexer 2.0: Leveraging New Features of Amplification Curves to Enhance the Selection of Multiplex PCR Assays in Multi-Target Identification.

Multiplex PCR plays a critical role in diagnostics by enabling the detection of multiple targets in ...

Demystifying the Dermatology Residency Application Process, Part II - Application Season: Strategic Application, Interviewing, and Mentorship.

The dermatology residency match has become increasingly competitive, culminating in a 2025 United St...

Angular correlation-based feature selection for machine learning classification of manual automatisms using body sensor network data.

Automatisms are repetitive, semi-ordered movements often observed in focal impaired awareness seizur...

Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph.

Lung cancer remains a leading cause of global cancer mortality, demanding precise diagnostic tools f...

Abolish Psychiatry, Abolish Neurology: Toward a Unified Discipline of Brain Medicine.

The longstanding division between psychiatry and neurology is a historical artifact, not a scientifi...

Research on the impact of green finance on regional carbon emission reduction and its role mechanisms.

As a crucial instrument, green finance policy facilitates the transition toward a green and low-carb...

Documentation, Coding, and Billing for Neurologic Services and Procedures.

Documentation, coding, and billing (claims submission) are foundational to neurologic practice in th...

Green finance reform, multifaceted collaborative governance, and corporate greenwashing: Evidence from double/debiased machine learning method.

In order to promote the economic structure's green transformation and identify replicable and genera...

Is the energy quota trading policy a solution to carbon inequality in China? Evidence from double machine learning.

Implementing China's energy quota trading policy, as a typical market-based environmental regulation...

Cracking the code: a scoping review to unite disciplines in tackling legal issues in health artificial intelligence.

OBJECTIVES: The rapid integration of artificial intelligence (AI) in healthcare requires robust lega...

[Therapeutic patient education and telemedicine in the age of artificial intelligence].

Since the promulgation of the July 21, 2009 law on hospital reform and patients, health and territor...

Population Health in Neurology and the Transformative Promise of Artificial Intelligence and Large Language Models.

This manuscript examines the expanding role of population health strategies in neurology, emphasizin...

Deep learning-based normative database of anterior chamber dimensions for angle closure assessment: the Singapore Chinese Eye Study.

BACKGROUND/ AIMS: The lack of context for anterior segment optical coherence tomography (ASOCT) meas...

MedFuseNet: fusing local and global deep feature representations with hybrid attention mechanisms for medical image segmentation.

Medical image segmentation plays a crucial role in addressing emerging healthcare challenges. Althou...

Low-Power and Low-Cost AI Processor With Distributed-Aggregated Classification Architecture for Wearable Epilepsy Seizure Detection.

Wearable devices with continuous monitoring capabilities are critical for the daily detection of epi...

Enhancing early detection of Alzheimer's disease through hybrid models based on feature fusion of multi-CNN and handcrafted features.

Alzheimer's disease (AD) is a brain disorder that causes memory loss and behavioral and thinking pro...

OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization.

BACKGROUND: Clinical Language Models (CLMs) possess the potential to reform traditional healthcare s...

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