AIMC Topic: Delivery of Health Care

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Artificial Intelligence inspired methods for the allocation of common goods and services.

PloS one
The debate over the optimal way of allocating societal surplus (i.e. products and services) has been raging, in one form or another, practically forever; following the collapse of the Soviet Union in 1991, the market has taken the lead vs the public ...

An Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications.

Sensors (Basel, Switzerland)
The role of 5G-IoT has become indispensable in smart applications and it plays a crucial part in e-health applications. E-health applications require intelligent schemes and architectures to overcome the security threats against the sensitive data of...

Robots in Healthcare? What Patients Say.

International journal of environmental research and public health
In this paper, we analyse patients' perspectives on the introduction of artificial intelligence (AI) and robotic systems in healthcare. Based on citizens' experiences when hospitalised for COVID-19, we explore how the opinions and concerns regarding ...

A Vision of Future Healthcare: Potential Opportunities and Risks of Systems Medicine from a Citizen and Patient Perspective-Results of a Qualitative Study.

International journal of environmental research and public health
Advances in (bio)medicine and technological innovations make it possible to combine high-dimensional, heterogeneous health data to better understand causes of diseases and make them usable for predictive, preventive, and precision medicine. This stud...

Preparing for the future: How organizations can prepare boards, leaders, and risk managers for artificial intelligence.

Healthcare management forum
Artificial Intelligence (AI) is the notion of machines mimicking complex cognitive functions usually associated with humans, such as reasoning, predicting, planning, and problem-solving. With constantly growing repositories of data, improving algorit...

Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review.

Advances in therapy
Artificial intelligence (AI) is defined as a set of algorithms and intelligence to try to imitate human intelligence. Machine learning is one of them, and deep learning is one of those machine learning techniques. The application of AI in healthcare ...

[Digitization of the healthcare system: the BfArM's contribution to the development of potential].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Digitalization is a clear megatrend of our time, also in the health sector, which is currently experiencing enormous acceleration due to the COVID-19 pandemic in addition to paving the way due to changes in the legal framework. Looking to the future,...

Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology.

The Canadian journal of cardiology
Many clinicians remain wary of machine learning because of longstanding concerns about "black box" models. "Black box" is shorthand for models that are sufficiently complex that they are not straightforwardly interpretable to humans. Lack of interpre...

A Novel Smart City-Based Framework on Perspectives for Application of Machine Learning in Combating COVID-19.

BioMed research international
The spread of COVID-19 worldwide continues despite multidimensional efforts to curtail its spread and provide treatment. Efforts to contain the COVID-19 pandemic have triggered partial or full lockdowns across the globe. This paper presents a novel f...

Pediatric quality measures: The leap from process to outcomes.

Current problems in pediatric and adolescent health care
Value-based reimbursement arrangements tie financial incentives to achieving quality measures to ensure savings are not from withholding care. For patients and their families, the delivery of high-quality care is simply the expectation. Defining and ...