AIMC Topic: Artificial Intelligence

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Towards federated transfer learning in electrocardiogram signal analysis.

Computers in biology and medicine
Modern methods in artificial intelligence perform very well on many healthcare datasets, at times outperforming trained doctors. However, many assumptions made in model training are not justifiable in clinical settings. In this work, we propose a met...

AIRI: Predicting Retention Indices and Their Uncertainties Using Artificial Intelligence.

Journal of chemical information and modeling
The Kováts retention index (RI) is a quantity measured using gas chromatography and is commonly used in the identification of chemical structures. Creating libraries of observed RI values is a laborious task, so we explore the use of a deep neural ne...

Navigating the path to precision: ChatGPT as a tool in pathology.

Pathology, research and practice
In recent years, the integration of Artificial Intelligence (AI) into medicine has marked a transformative shift in healthcare practices. This study explores the application of ChatGPT 3.5, an AI-based natural language processing model, in the field ...

A deep learning-based algorithm improves radiology residents' diagnoses of acute pulmonary embolism on CT pulmonary angiograms.

European journal of radiology
PURPOSE: To compare radiology residents' diagnostic performances to detect pulmonary emboli (PEs) on CT pulmonary angiographies (CTPAs) with deep-learning (DL)-based algorithm support and without.

Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements.

Sensors (Basel, Switzerland)
Using tibial sensors in total knee replacements (TKRs) can enhance patient outcomes and reduce early revision surgeries, benefitting hospitals, the National Health Services (NHS), stakeholders, biomedical companies, surgeons, and patients. Having a s...

ChatGPT in Medical Education: A Precursor for Automation Bias?

JMIR medical education
Artificial intelligence (AI) in health care has the promise of providing accurate and efficient results. However, AI can also be a black box, where the logic behind its results is nonrational. There are concerns if these questionable results are used...

Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study.

JMIR human factors
BACKGROUND: Artificial intelligence (AI)-powered technologies are being increasingly used in almost all fields, including medicine. However, to successfully implement medical AI applications, ensuring trust and acceptance toward such technologies is ...

Advancements in robotic surgery: innovations, challenges and future prospects.

Journal of robotic surgery
The use of robots has revolutionized healthcare, wherein further innovations have led to improved precision and accuracy. Conceived in the late 1960s, robot-assisted surgeries have evolved to become an integral part of various surgical specialties. M...