AIMC Topic: Artificial Intelligence

Clear Filters Showing 1 to 10 of 25084 articles

Echoes in AI: Quantifying lack of plot diversity in LLM outputs.

Proceedings of the National Academy of Sciences of the United States of America
With rapid advances in large language models (LLMs), there has been an increasing application of LLMs in creative content ideation and generation. A critical question emerges: can current LLMs provide ideas that are diverse enough to truly bolster co...

Evaluating ChatGPT's Utility in Biologic Therapy for Systemic Lupus Erythematosus: Comparative Study of ChatGPT and Google Web Search.

JMIR formative research
BACKGROUND: Systemic lupus erythematosus (SLE) is a life-threatening, multisystem autoimmune disease. Biologic therapy is a promising treatment for SLE. However, public understanding of this therapy is still insufficient, and the quality of related i...

Health-economic evaluation of an AI-powered decision support system for anemia management in in-center hemodialysis patients.

BMC nephrology
BACKGROUND: The Anemia Control Model (ACM) is a decision support system powered by an artificial intelligence core designed to assist nephrologists in managing anemia therapy for in-center hemodialysis (HD) patients. This study aims to evaluate the c...

Telementoring for surgical training in low-resource settings: a systematic review of current systems and the emerging role of 5G, AI, and XR.

Journal of robotic surgery
Telementoring in surgical training enables expert surgeons to provide real-time remote guidance to trainees. This technique is increasingly adopted to address surgical training gaps in low- and middle-income countries (LMICs), i.e., nations with a gr...

Dual-model approach for accurate chest disease detection using GViT and swin transformer V2.

Scientific reports
The precise detection and localization of abnormalities in radiological images are very crucial for clinical diagnosis and treatment planning. To build reliable models, large and annotated datasets are required that contain disease labels and abnorma...

AI hypotheses lag human ones when put to the test.

Science (New York, N.Y.)
Machines still face hurdles in identifying fresh research paths, study suggests.

DeePosit, an AI-based tool for detecting mouse urine and fecal depositions from thermal video clips of behavioral experiments.

eLife
In many mammals, including rodents, social interactions are often accompanied by active urination (micturition), which is considered a mechanism for spatial scent marking. Urine and fecal deposits contain a variety of chemosensory signals that convey...

Exploring the risks of over-reliance on AI in diagnostic pathology. What lessons can be learned to support the training of young pathologists?

PloS one
The integration of Artificial Intelligence (AI) algorithms into pathology practice presents both opportunities and challenges. Although it can improve accuracy and inter-rater reliability, it is not infallible and can produce erroneous diagnoses, hen...

Generative AI and academic scientists in US universities: Perception, experience, and adoption intentions.

PloS one
The integration of generative Artificial Intelligence (AI) into academia has sparked interest and debate among academic scientists. This paper explores the early adoption and perceptions of US academic scientists regarding the use of generative AI in...

Performance of mental health chatbot agents in detecting and managing suicidal ideation.

Scientific reports
Advances in artificial intelligence (AI) technologies sparked a rapid development of smartphone applications designed to help individuals experiencing mental health problems through an AI-powered chatbot agent. However, the safety of such agents when...