AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Delivery of Health Care

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[Digitalization in healthcare: today and in the future].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Although Germany continues to struggle with the digital transformation of healthcare, there is reason for optimism. The political will to improve healthcare with digital technologies has been underpinned by numerous legal initiatives since 2018. In a...

Current Status and Future Perspectives on the Internet of Things in Oncology.

Hematology/oncology and stem cell therapy
The Internet of Things (IoT) has penetrated many aspects of everyday human life. The use of IoT in healthcare has been expanding over the past few years. In this review, we highlighted the current applications of IoT in the medical literature, along ...

Ethics and governance of trustworthy medical artificial intelligence.

BMC medical informatics and decision making
BACKGROUND: The growing application of artificial intelligence (AI) in healthcare has brought technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by many risks and challenges. These adverse effects are also seen ...

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology.

Scientific reports
How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve the patient experience are problems faced by all hospitals. At present, the combination of artificial intelligence and the medical field is mainly in...

Digital health-high tech or high touch?

Wiener medizinische Wochenschrift (1946)
Digital transformation in medicine refers to the implementation of information technology-driven developments in the healthcare system and their impact on the way we teach, share, and practice medicine. We would like to provide an overview of current...

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review.

IEEE reviews in biomedical engineering
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-based solutions to COVID-19 challenges during the pandemic, few have made a significant clinical impact, especially in diagnosis and disease precision staging. O...

Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis.

BMJ open
OBJECTIVES: Medical artificial intelligence (AI) has been used widely applied in clinical field due to its convenience and innovation. However, several policy and regulatory issues such as credibility, sharing of responsibility and ethics have raised...

[Future perspectives in surgery from a German point of view].

Chirurgie (Heidelberg, Germany)
In this article two aspects of the topic of future perspectives in surgery from a German point of view are discussed: firstly, topics of healthcare policy, such as upcoming alterations of the healthcare system, including required minimum quantities w...

Heterogeneity of Attitudes toward Robots in Healthcare among the Chinese Public: A Latent Profile Analysis.

International journal of environmental research and public health
Attitudes are deemed critical psychological variables that can determine end users' acceptance and adoption of robots. This study explored the heterogeneity of the Chinese public's attitudes toward robots in healthcare and examined demographic charac...

From big data to better patient outcomes.

Clinical chemistry and laboratory medicine
Among medical specialties, laboratory medicine is the largest producer of structured data and must play a crucial role for the efficient and safe implementation of big data and artificial intelligence in healthcare. The area of personalized therapies...