AIMC Topic: Humans

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[Artificial Intelligence in Head and Neck Surgery: Potentials, Challenges, and Ethical Considerations].

Laryngo- rhino- otologie
BACKGROUND: The growing prominence of Artificial Intelligence (AI) in medicine introduces both transformative possibilities and potential challenges. Our study focuses on the current status and perceptions of AI in Head and Neck Surgery (HNS), examin...

Interpretation of acid-base metabolism on arterial blood gas samples via machine learning algorithms.

Irish journal of medical science
BACKGROUND: Arterial blood gas evaluation is crucial for critically ill patients, as it provides essential information about acid-base metabolism and respiratory balance, but evaluation can be complex and time-consuming. Artificial intelligence can p...

Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics-Informed Neural Networks.

Small methods
The heterogeneous micromechanical properties of biological tissues have profound implications across diverse medical and engineering domains. However, identifying full-field heterogeneous elastic properties of soft materials using traditional enginee...

The Role of Artificial Intelligence in Predicting Optic Neuritis Subtypes From Ocular Fundus Photographs.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society
BACKGROUND: Optic neuritis (ON) is a complex clinical syndrome that has diverse etiologies and treatments based on its subtypes. Notably, ON associated with multiple sclerosis (MS ON) has a good prognosis for recovery irrespective of treatment, where...

AI assistance in aesthetic medicine-A consensus on objective medical standards.

Journal of cosmetic dermatology
BACKGROUND: Aesthetic medicine has traditionally relied on clinical scales for the objective assessment of baseline appearance and treatment outcomes. However, the scales focus on limited aesthetic areas mostly and subjective interpretation inherent ...

Identification of histopathological classification and establishment of prognostic indicators of gastric adenocarcinoma based on deep learning algorithm.

Medical molecular morphology
The aim of this study is to establish a deep learning (DL) model to predict the pathological type of gastric adenocarcinoma cancer based on whole-slide images(WSIs). We downloaded 356 histopathological images of gastric adenocarcinoma (STAD) patients...

Artificial Intelligence: A Help or Hindrance to Scientific Writing?

Annals of surgery
We have assessed the chatbot Generative Pretrained Transformer, a type of artificial intelligence software designed to simulate conversations with human users, in an experiment designed to test its relevance to scientific writing. chatbot Generative ...

Improving 3D dose prediction for breast radiotherapy using novel glowing masks and gradient-weighted loss functions.

Medical physics
BACKGROUND: The quality of treatment plans for breast cancer can vary greatly. This variation could be reduced by using dose prediction to automate treatment planning. Our work investigates novel methods for training deep-learning models that are cap...