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Artificial intelligence and real-world data for drug and food safety - A regulatory science perspective.

Regulatory toxicology and pharmacology : RTP
In 2013, the Global Coalition for Regulatory Science Research (GCRSR) was established with members from over ten countries (www.gcrsr.net). One of the main objectives of GCRSR is to facilitate communication among global regulators on the rise of new ...

Associations Between Older Adults' Loneliness and Acceptance of Socially Assistive Robots: A Cross-Sectional Study.

Journal of gerontological nursing
The use of socially assistive robots (SARs) to enable older adults (aged ≥65 years) to live independently for as long as possible has been researched for several years. Of particular interest is the way SARs can combat loneliness. A quantitative cros...

[Development of a planned and monitoring robotic assistance and automation for application in orthopedics and trauma surgery].

Chirurgie (Heidelberg, Germany)
Robot-assisted surgery offers many advantages with respect to precision and facilitation in medicine, whereby the physician controls the system externally by guiding the movement of the robot during the operation. Despite training and experience, ope...

[Artificial intelligence and ethics in healthcare-balancing act or symbiosis?].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Artificial intelligence (AI) is becoming increasingly important in healthcare. This development triggers serious concerns that can be summarized by six major "worst-case scenarios". From AI spreading disinformation and propaganda, to a potential new ...

[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...

The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science.

Scientific data
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical disciplines including abdominal surgery, gynaecology and urology. To date, publicly available laparoscopic image datasets are mostly limited to general ...

[Validation and implementation of artificial intelligence in radiology : Quo vadis in 2022?].

Radiologie (Heidelberg, Germany)
BACKGROUND: The hype around artificial intelligence (AI) in radiology continues and the number of approved AI tools is growing steadily. Despite the great potential, integration into clinical routine in radiology remains limited. In addition, the lar...

[Artificial intelligence in the diagnosis of rare disorders: the development of phenotype analysis].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Rare diseases can often be diagnosed by carefully assessing the phenotype of the patient, as characteristic deviations (dysmorphisms) occur in many genetic diseases. These affect, for example, the features of the face - the "facial gestalt."This pape...

Predicting mortality in the very old: a machine learning analysis on claims data.

Scientific reports
Machine learning (ML) may be used to predict mortality. We used claims data from one large German insurer to develop and test differently complex ML prediction models, comparing them for their (balanced) accuracy, but also the importance of different...

Automated multilabel diagnosis on electrocardiographic images and signals.

Nature communications
The application of artificial intelligence (AI) for automated diagnosis of electrocardiograms (ECGs) can improve care in remote settings but is limited by the reliance on infrequently available signal-based data. We report the development of a multil...