AIMC Topic: Switzerland

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Digital image analysis and artificial intelligence in pathology diagnostics-the Swiss view.

Pathologie (Heidelberg, Germany) Nov 21, 2023
Digital pathology (DP) is increasingly entering routine clinical pathology diagnostics. As digitization of the routine caseload advances, implementation of digital image analysis algorithms and artificial intelligence tools becomes not only attainabl...
Humans Artificial Intelligence Algorithms Diagnostic Imaging Switzerland Pathology, Clinical
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National digital pathology projects in Switzerland: A 2023 update.

Pathologie (Heidelberg, Germany) Nov 21, 2023
The Swiss Digital Pathology Consortium (SDiPath) was founded in 2018 as a working group of the Swiss Society for Pathology with the aim of networking, training, and promoting digital pathology (DP) at a national level. Since then, two national survey...
Artificial Intelligence Image Processing, Computer-Assisted Switzerland
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ChatGPT's performance in dentistry and allergyimmunology assessments: a comparative study.

Swiss dental journal Oct 4, 2023
Large language models (LLMs) such as ChatGPT have potential applications in healthcare, including dentistry. Priming, the practice of providing LLMs with initial, relevant information, is an approach to improve their output quality. This study aimed ...
Education, Dental Educational Measurement Allergy and Immunology Humans Switzerland Clinical Competence
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Artificial intelligence and real-world data for drug and food safety - A regulatory science perspective.

Regulatory toxicology and pharmacology : RTP Apr 13, 2023
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 ...
Italy Germany Food Safety Artificial Intelligence United States Switzerland
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Delirium screening in an acute care setting with a machine learning classifier based on routinely collected nursing data: A model development study.

Journal of psychiatric research Oct 10, 2022
Delirium screening in acute care settings is a resource intensive process with frequent deviations from screening protocols. A predictive model relying only on daily collected nursing data for delirium screening could expand the populations covered b...
Aged Male Switzerland Humans Machine Learning Female
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Exploring Characteristics of Homicide Offenders With Schizophrenia Spectrum Disorders Via Machine Learning.

International journal of offender therapy and comparative criminology Jun 22, 2022
The link between schizophrenia and homicide has long been the subject of research with significant impact on mental health policy, clinical practice, and public perception of people with psychiatric disorders. The present study investigates factors c...
Machine Learning Female Young Adult Humans Switzerland Schizophrenia Criminals Adult Male Middle Aged Schizophrenic Psychology Homicide
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Results of robotic TAPP and conventional laparoscopic TAPP in an outpatient setting: a cohort study in Switzerland.

Langenbeck's archives of surgery May 24, 2022
PURPOSE: Recently, robotic surgery has been increasingly performed in hernia surgery. Although feasibility and safety of robot-assisted inguinal hernia repair in an inpatient setting have been already shown, its role in outpatient hernia surgery has ...
Hernia, Inguinal Switzerland Pain, Postoperative Robotic Surgical Procedures Outpatients Surgical Mesh Herniorrhaphy Treatment Outcome Robotics Laparoscopy Middle Aged Cohort Studies Humans
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A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics.

PloS one Mar 3, 2022
Anticipating intensive care unit (ICU) occupancy is critical in supporting decision makers to impose (or relax) measures that mitigate COVID-19 transmission. Mechanistic approaches such as Susceptible-Infected-Recovered (SIR) models have traditionall...
Intensive Care Units SARS-CoV-2 Switzerland Critical Care Bed Occupancy Neural Networks, Computer COVID-19 Forecasting Humans
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Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study.

The Lancet. Digital health Aug 17, 2021
BACKGROUND: Response to immunotherapy in gastric cancer is associated with microsatellite instability (or mismatch repair deficiency) and Epstein-Barr virus (EBV) positivity. We therefore aimed to develop and validate deep learning-based classifiers ...
Humans Epstein-Barr Virus Infections Switzerland Microsatellite Instability Reproducibility of Results Germany Deep Learning Italy Aged Cohort Studies Histological Techniques Stomach Neoplasms Japan United States Retrospective Studies Male United Kingdom Middle Aged Republic of Korea Female
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Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University.

Frontiers in public health Apr 9, 2021
There is increasing use of psychotherapy apps in mental health care. This mixed methods pilot study aimed to explore postgraduate clinical psychology students' familiarity and formal exposure to topics related to artificial intelligence and machine...
Psychotherapy Psychology, Clinical Universities Switzerland Machine Learning Pilot Projects Surveys and Questionnaires Humans Artificial Intelligence
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