AI Medical Compendium Topic

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

Hungary

Showing 1 to 10 of 14 articles

Clear Filters

Photoautotrophic picoplankton - a review on their occurrence, role and diversity in Lake Balaton.

Biologia futura
Occurrence of the smallest phototrophic microorganisms (photoautotrophic picoplankton, APP) in Lake Balaton was discovered in the early 1980s. This triggered a series of systematic studies on APP and resulted in the setting of a unique long-term pico...

[Rehabilitation of traumatic spinal cord injury with lower limb exoskeleton].

Orvosi hetilap
In recent years, several technological innovations have emerged to improve the rehabilitation of traumatic spinal cord injury (SCI). Among them, robotic orthosis, also known as human exoskeletons, are prominent devices for lower limb therapy. Since t...

A new linear combination method of haplogroup distribution central vectors to model population admixtures.

Molecular genetics and genomics : MGG
We introduce a novel population genetic approach suitable to model the origin and relationships of populations, using new computation methods analyzing Hg frequency distributions. Hgs were selected into groups which show correlated frequencies in sub...

Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe.

International journal of environmental research and public health
The Modified Fournier Index () is one of the indices that can assess the erosivity of rainfall. However, the implementation of the artificial neural network (ANN) for the prediction of the is still rare. In this research, climate data (monthly and y...

[Could robotic surgery really be a revolutionary change in the treatment of kidney cancer in Hungary?].

Magyar onkologia
Robotic-assisted partial nephrectomy (RAPN) was first described in 2004 and, since its introduction in clinical practice, has progressively gained increasing popularity. Over the years, the indications have also expanded, enabling robot-assisted surg...

Network science and explainable AI-based life cycle management of sustainability models.

PloS one
Model-based assessment of the potential impacts of variables on the Sustainable Development Goals (SDGs) can bring great additional information about possible policy intervention points. In the context of sustainability planning, machine learning tec...

Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis.

BMC public health
BACKGROUND: Burnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences of burnout involve decreased motivation, productivity, an...

New machine-learning models outperform conventional risk assessment tools in Gastrointestinal bleeding.

Scientific reports
Rapid and accurate identification of high-risk acute gastrointestinal bleeding (GIB) patients is essential. We developed two machine-learning (ML) models to calculate the risk of in-hospital mortality in patients admitted due to overt GIB. We analyze...

Tracking the spatiotemporal evolution of groundwater chemistry in the Quaternary aquifer system of Debrecen area, Hungary: integration of classical and unsupervised learning methods.

Environmental science and pollution research international
Monitoring changes in groundwater quality over time helps identify time-dependent factors influencing water safety and supports the development of effective management strategies. This study investigates the spatiotemporal evolution of groundwater ch...