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Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Disability services in higher education: Statistical disparities and the potential role of AI in bridging institutional gaps.

Disparities in disability services between two-year and four-year higher education institutions pose...

Diagnostic pathways for earlier diagnosis and treatment towards better outcomes for adults living with chronic breathlessness.

Chronic breathlessness is a common and distressing symptom, negatively impacting physical function a...

AI-driven report-generation tools in mental healthcare: A review of commercial tools.

Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including f...

Leveraging artificial intelligence to promote COVID-19 appropriate behaviour in a healthcare institution from north India: A feasibility study.

Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...

Outcome measures in chronic urticaria: A comprehensive review.

Chronic urticaria, characterised by pruritic wheals, angioedema or both significantly impacts indivi...

Automating egg damage detection for improved quality control in the food industry using deep learning.

The detection and classification of damage to eggs within the egg industry are of paramount importan...

Enhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.

Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impact...

Advancements of AI in healthcare: a comprehensive review of ChatGPT's applications and challenges.

The rapid integration of artificial intelligence into healthcare has introduced transformative possi...

Faster Acquisition and Improved Image Quality of T2-Weighted Dixon Breast MRI at 3T Using Deep Learning: A Prospective Study.

OBJECTIVE: The aim of this study was to compare image quality features and lesion characteristics be...

A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy.

BACKGROUND: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We...

AI in Point-of-Care - A Sustainable Healthcare Revolution at the Edge.

This paper examines the integration of artificial intelligence (AI) in point-of-care testing (POCT) ...

Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records.

OBJECTIVE: Access to firearms is associated with increased suicide risk. Our aim was to develop a na...

[A novel approach for assessing quality of electrocardiogram signal by integrating multi-scale temporal features].

During long-term electrocardiogram (ECG) monitoring, various types of noise inevitably become mixed ...

[THE SURGICAL INTELLIGENCE REVOLUTION - APPLYING AI TO IMPROVE SURGICAL QUALITY AND SAFETY].

The use of artificial intelligence (AI) in medicine is rising fast. We continually hear about novel ...

Leveraging artificial intelligence for advancements in reproductive health.

We are writing to address the growing interest in the role of artificial intelligence (AI) within he...

Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach.

Major depressive disorder (MDD) is a severe psychiatric disorder that currently lacks any objective ...

[Digital Transformation in Healthcare].

Digital transformation, a term coined by Erik Stolterman and Anna Croon Fors, means the changes of s...

[Effect of an artificial intelligence-assisted recognition system on colonoscopy quality].

To explore the value of the artificial intelligence (AI)-assisted recognition system in the detecti...

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