AIMC Topic: Artificial Intelligence

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Simultaneous interpreting with auto-subtitling: Investigating viewer cognitive effort, stress, and comprehension.

PloS one
Simultaneous interpreting (SI) enables real-time cross-language communication without significant delays and is vital for fast-paced environments such as multilingual conferences. Automatic subtitles, powered by artificial intelligence (AI), is an im...

Artificial intelligence model for predicting early biochemical recurrence of prostate cancer after robotic-assisted radical prostatectomy.

Scientific reports
Prostate cancer remains a significant public health concern, with a substantial proportion of patients experiencing biochemical recurrence (BCR) after radical prostatectomy (RP). Traditional risk models, such as CAPRA-S, have demonstrated moderate pr...

Integrating artificial intelligence and optogenetics for Parkinson's disease diagnosis and therapeutics in male mice.

Nature communications
Parkinson's disease (PD), a progressive neurodegenerative disorder, presents complex motor symptoms and lacks effective disease-modifying treatments. Here we show that integrating artificial intelligence (AI) with optogenetic intervention, termed opt...

Artificial intelligence-based prediction of treatment failure and medication non-adherence in overactive bladder management.

BMC urology
BACKGROUND: Overactive bladder management presents significant challenges, with treatment failures and medication non-adherence posing substantial barriers to patient outcomes. Early prediction of these challenges could enable timely interventions an...

Discovery of tumour indicating morphological changes in benign prostate biopsies through AI.

Scientific reports
Diagnostic needle biopsies that miss clinically significant prostate cancer (PCa) often sample benign tissue near hidden cancers. Such benign samples might still display subtle morphological signs of cancer elsewhere in the prostate. This study exami...

Barriers and facilitators to nurses' adoption of artificial intelligence-driven solutions in clinical practice: a protocol for a systematic review of qualitative studies.

BMJ open
INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being developed and deployed to support clinical decision-making, care delivery and patient monitoring in healthcare. However, the adoption of AI-driven solutions by nurses, who...

Disability and AI: Much more than assistive technologies.

Science (New York, N.Y.)
Nothing succeeds like success, we are told, and certainly that seems true for artificial intelligence (AI). It is hard to overstate either the ubiquity or the success of AI-based technologies in science and technology, health research and care, the m...

Minimizing and quantifying uncertainty in AI-informed decisions: Applications in medicine.

Proceedings of the National Academy of Sciences of the United States of America
AI is now a cornerstone of modern dataset analysis. In many real world applications, practitioners are concerned with controlling specific kinds of errors, rather than minimizing the overall number of errors. For example, biomedical screening assays ...

Artificial Intelligence in Healthcare: Current Regulatory Landscape and Future Directions.

British journal of hospital medicine (London, England : 2005)
The integration of artificial intelligence (AI) in healthcare offers the potential to play a critical role in reshaping clinical practice. However, it also brings regulatory, ethical, implementation, social, and technical challenges that healthcare s...

Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots.

Science advances
Sensitivity enhancement for pressure sensors over a broad linear range can improve sensing performance for a wide range of applications such as health monitoring and artificial intelligence. Here, inspired by the high-precision mechanosensory mechani...