Reform

Technology and Innovation in Care Transitions: Imagining the Future of Postdischarge Care.

Care transitions remain high-risk periods, with up to 28% of patients experiencing adverse events (AEs) or readmissions within 30 days of discharge. This article examines digital innovations reshaping postdischarge care: synchronous telehealth for scheduled follow-up, remote patient monitoring for continuous surveillance between encounters, and artificial intelligence for risk prediction and clini...

The future of psychiatry: Reclaiming relevance in an era of technological and systemic transformation.

Psychiatry currently faces the following four intersecting challenges: technological disruption through artificial intelligence (AI); the loss of exclusive prescribing authority; escalating systemic constraints within public psychiatry, and market-driven models in private practice. Together, these forces challenge the specialty's traditional identity, narrowing its scope towards containment rather...

Disability pension during emerging adulthood: Insights from the young-HUNT study on psychological distress, chronic pain, and policy reform.

INTRODUCTION: Disability pension (DP) among young adults has steadily increased in Norway, with chronic pain and psychological distress among the main...

Teaching reform of pharmaceutical engineering design courses via AI-driven CDMO model.

This study innovates pharmaceutical engineering education with an AI-driven CDMO framework, addressing traditional curricular gaps via targeted soluti...

Rewriting the Note with Technology: The Evolution and Future of Clinical Documentation.

This article traces the historical evolution and current complexities of clinical documentation, emphasizing its transformation under regulatory, fina...

University students' learning intention towards generative art in higher education: A SEM-ANN study of human-AI co-creation factors.

The pervasive implementation of generative AI technology in art and design has made exploring students' learning intentions towards generative art a p...

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 quantity and quality of carbon abatement to achieve l...

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 States senior MD match rate of 63 % according to the...

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 a single reaction. However, its use is often limit...

Does the registration system reform reduce the finance sector's risk spillover effect in China's stock market-Causal inference based on dual machine learning.

With growing uncertainty in global trade, improving access to domestic capital markets has become an important way to manage financial risk spillovers...

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 for accurate subtype classification. This paper int...

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

The longstanding division between psychiatry and neurology is a historical artifact, not a scientific necessity. Despite addressing the same organ, th...

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-carbon regional economic structure, which is essential...

Unraveling soil salinity on potentially toxic element accumulation in coastal Phragmites australis: A novel integration of multivariate and interpretable machine-learning models.

Revealing the key mechanisms influencing the behavior of potentially toxic elements (PTEs) in soil-plant systems is of great significance for environm...

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 generalizable practices in green financial development, ...

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, thoroughly deepens the reform of energy market a...

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 legal safeguards to ensure safety, privacy and non-dis...

[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 territories, known as the HPST law, therapeutic patient ed...

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) measurements impedes its clinical utility. We establis...

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. Although several impressive deep learning architectures ...