AIMC Topic: Artificial Intelligence

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Using Feature Engineering and Principal Component Analysis for Monitoring Spindle Speed Change Based on Kullback-Leibler Divergence with a Gaussian Mixture Model.

Sensors (Basel, Switzerland)
Machining is a crucial constituent of the manufacturing industry, which has begun to transition from precision machinery to smart machinery. Particularly, the introduction of artificial intelligence into computer numerically controlled (CNC) machine ...

Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy.

Scientific reports
Stridor is a rare but important non-motor symptom that can support the diagnosis and prediction of worse prognosis in multiple system atrophy. Recording sounds generated during sleep by video-polysomnography is recommended for detecting stridor, but ...

Deep Learning-Assisted Gait Parameter Assessment for Neurodegenerative Diseases: Model Development and Validation.

Journal of medical Internet research
BACKGROUND: Neurodegenerative diseases (NDDs) are prevalent among older adults worldwide. Early diagnosis of NDD is challenging yet crucial. Gait status has been identified as an indicator of early-stage NDD changes and can play a significant role in...

Performance of ChatGPT on the pharmacist licensing examination in Taiwan.

Journal of the Chinese Medical Association : JCMA
BACKGROUND: ChatGPT is an artificial intelligence model trained for conversations. ChatGPT has been widely applied in general medical education and cardiology, but its application in pharmacy has been lacking. This study examined the accuracy of Chat...

Hybrid Life: Integrating biological, artificial, and cognitive systems.

Wiley interdisciplinary reviews. Cognitive science
Artificial life is a research field studying what processes and properties define life, based on a multidisciplinary approach spanning the physical, natural, and computational sciences. Artificial life aims to foster a comprehensive study of life bey...

Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction.

Diagnostic and interventional imaging
Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have shown great potential in enhancing diagnosis and prognosis prediction in patients with cardiovascular disease. Deep learning, a type of machine learning, has re...

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.

Medical image analysis
Formalizing surgical activities as triplets of the used instruments, actions performed, and target anatomies is becoming a gold standard approach for surgical activity modeling. The benefit is that this formalization helps to obtain a more detailed u...

Pearls and pitfalls of ChatGPT in medical oncology.

Trends in cancer
Recently, ChatGPT has drawn attention to the potential uses of artificial intelligence (AI) in academia. Here, we discuss how ChatGPT can be of value to medicine and medical oncology and the potential pitfalls that may be encountered.