AIMC Topic: Artificial Intelligence

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Integration of proteomics and artificial intelligence-driven OCT biomarker analysis in central retinal vein occlusion.

Experimental eye research
Retinal OCT biomarker analysis by artificial intelligence (AI) has not previously been integrated with proteomics. Here, we combined the two techniques to elucidate novel molecular mechanisms in central retinal vein occlusion (CRVO). Proteomic data o...

Embracing change in AAC technology: the keyboard to my success.

Augmentative and alternative communication (Baltimore, Md. : 1985)
My name is Tim Jin, and I use an augmentative and alternative communication (AAC) device by typing with my toes. My communication journey has spanned almost four decades. Communication was the key to my success, just as important as a good education....

An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels.

Artificial intelligence in medicine
The diagnostic accuracy and subjectivity of existing Knee Osteoarthritis (OA) ordinal grading systems has been a subject of on-going debate and concern. Existing automated solutions are trained to emulate these imperfect systems, whilst also being re...

DNA forensics at forty: the way forward.

International journal of legal medicine
Forensic DNA analysis has transformed criminal investigations since its inception in 1985. Over four decades, this field has evolved through various phases-from the early stages of exploration to today's highly sophisticated methodologies. Key advanc...

From black box to clarity: Strategies for effective AI informed consent in healthcare.

Artificial intelligence in medicine
BACKGROUND: Informed consent is fundamental to ethical medical practice, ensuring that patients understand the procedures they undergo, the associated risks, and available alternatives. The advent of artificial intelligence (AI) in healthcare, partic...

Mitigating patient harm risks: A proposal of requirements for AI in healthcare.

Artificial intelligence in medicine
With the rise Artificial Intelligence (AI), mitigation strategies may be needed to integrate AI-enabled medical software responsibly, ensuring ethical alignment and patient safety. This study examines how to mitigate the key risks identified by the E...

Improving brain tumor diagnosis: A self-calibrated 1D residual network with random forest integration.

Brain research
Medical specialists need to perform precise MRI analysis for accurate diagnosis of brain tumors. Current research has developed multiple artificial intelligence (AI) techniques for the process automation of brain tumor identification. However, existi...

Digital pesticide: a comprehensive pesticide information database with dynamic web platform for artificial intelligence applications.

Pest management science
BACKGROUND: Pesticides are crucial for protecting crops from pests and diseases to meet the growing global food demand. In the era of artificial intelligence (AI), computer-aided approaches have the potential to significantly enhance the efficiency a...

Remote monitoring in heart failure: artificial intelligence and the use of remote speech analysis to detect worsening heart failure events.

Heart failure reviews
Globally, heart failure (HF) is a leading cause of hospitalization and mortality, primarily among the elderly, and is estimated to affect more than 64 million individuals. Hospitalization for HF represents the largest part of overall medical care exp...