AIMC Topic: Artificial Intelligence

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Effect of Deep Learning-Based Artificial Intelligence on Radiologists' Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging.

Korean journal of radiology
OBJECTIVE: To evaluate the effect of deep learning (DL)-based artificial intelligence (AI) software on the diagnostic performance of radiologists with different experience levels in detecting nigrosome 1 (N1) abnormalities on susceptibility map-weigh...

A Framework for Evaluating the Use of Surveillance Systems for Short-Term Influenza Forecasting.

Influenza and other respiratory viruses
BACKGROUND: Public health surveillance systems need to monitor influenza activity and guide measures to mitigate its high impact on morbidity, mortality and healthcare systems. There is an increasing expectation that surveillance data will support th...

Diagnostic Performance of ChatGPT-4.0 in Histopathological Analysis of Gliomas: A Single Institution Experience.

Neuropathology : official journal of the Japanese Society of Neuropathology
This study aimed to evaluate the performance of ChatGPT-4.0 as a diagnostic support tool for pathologists in identifying different types of gliomas based on histopathological data and to compare its performance with that of another artificial intelli...

Making health a habit: Progress in habit theory and its application in real-world settings.

Applied psychology. Health and well-being
An expert meeting convened at the European Health Psychology Society conference in 2019 concluded that, to develop effective habit-based interventions, more knowledge was needed regarding how habit manifests in health behaviour, how to make and break...

[Artificial intelligence for randomized controlled trials in cardiology: applications and future perspectives].

Giornale italiano di cardiologia (2006)
Integrating artificial intelligence (AI) into cardiovascular clinical trials is emerging as a key factor in streamlining patient selection, data collection, endpoint monitoring, and outcome analysis. On the one hand, machine learning and deep learnin...

A Review on Surgical Robotic Platforms Including RMIS, AI-Based CAS Systems, Challenges, and Future Directions.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Surgical Robotic Platforms (SRPs) have transformed the way surgeons perform Robot-Assisted Minimally Invasive Surgeries (RMIS). SRPs utilize Computer-Assisted Surgery (CAS) systems to guide surgeons.

Predicting the Recurrence of Sporadic Odontogenic Keratocyst Using Whole-Slide Histopathology Images With the Hybrid Encoder Iterative Attention Convolution Model.

Clinical and experimental dental research
OBJECTIVES: Odontogenic keratocysts (OKCs) are challenging due to their aggressiveness and high recurrence rates, complicating decision-making for clinicians and pathologists. Despite efforts to identify predictive characteristics, management remains...

Artificial intelligence and first-principle methods in protein redesign: A marriage of convenience?

Protein science : a publication of the Protein Society
Since AlphaFold2's rise, many deep learning methods for protein design have emerged. Here, we validate widely used and recognized tools, compare them with first-principle methods, and explore their combinations, focusing on their effectiveness in pro...

Artificial intelligence applications in the screening and classification of glioblastoma.

Journal of neurosurgical sciences
Glioblastoma is the most aggressive primary brain tumor, with poor prognosis following initial identification. Current diagnostic methods, including neuroimaging and molecular pathology, face several limitations in tumor delineation, differentiation ...

Evaluating Artificial Intelligence and Traditional Learning Tools for Chest X-Ray Interpretation: A Descriptive Study.

The clinical teacher
BACKGROUND: Chest X-ray (CXR) interpretation is a fundamental yet challenging skill for medical students to master. Traditional resources like Radiopaedia offer extensive content, while newer artificial intelligence (AI) tools, such as Chester, provi...