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Switzerland

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ChatGPT's performance in dentistry and allergyimmunology assessments: a comparative study.

Swiss dental journal
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 ...

[Colorectal cancer: technological revolution].

Revue medicale suisse
Colorectal cancer represents 4500 incidental cases in Switzerland per year, with an incidence increasing among the youngest patients. Technological innovation guides the management of colorectal cancer. Artificial intelligence in endoscopy optimizes ...

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

Pathologie (Heidelberg, Germany)
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...

National digital pathology projects in Switzerland: A 2023 update.

Pathologie (Heidelberg, Germany)
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...

Analysis of Critical Incident Reports Using Natural Language Processing.

Studies in health technology and informatics
UNLABELLED: A Critical Incident Reporting System (CIRS) collects anecdotal reports from employees, which serve as a vital source of information about incidents that could potentially harm patients.

No playing around with robots? Ambivalent attitudes toward the use of Paro in elder care.

Nursing inquiry
This paper explores the ways in which health care professionals, family carers, and older persons expressed attitudes and opinions on using Paro, a social robot designed to stimulate patients with dementia. Thereafter, we critically evaluate existing...

Multispecies deep learning using citizen science data produces more informative plant community models.

Nature communications
In the age of big data, scientific progress is fundamentally limited by our capacity to extract critical information. Here, we map fine-grained spatiotemporal distributions for thousands of species, using deep neural networks (DNNs) and ubiquitous ci...

Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study.

Surgical endoscopy
BACKGROUND: Anastomotic leakage (AL), a severe complication following colorectal surgery, arises from defects at the anastomosis site. This study evaluates the feasibility of predicting AL using machine learning (ML) algorithms based on preoperative ...

Developing and testing a framework for coding general practitioners' free-text diagnoses in electronic medical records - a reliability study for generating training data in natural language processing.

BMC primary care
BACKGROUND: Diagnoses entered by general practitioners into electronic medical records have great potential for research and practice, but unfortunately, diagnoses are often in uncoded format, making them of little use. Natural language processing (N...

Fracture risk prediction in postmenopausal women with traditional and machine learning models in a nationwide, prospective cohort study in Switzerland with validation in the UK Biobank.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Fracture prediction is essential in managing patients with osteoporosis and is an integral component of many fracture prevention guidelines. We aimed to identify the most relevant clinical fracture risk factors in contemporary populations by training...