AIMC Topic: Humans

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Artificial intelligence for oral and dental healthcare: Core education curriculum.

Journal of dentistry
OBJECTIVES: Artificial intelligence (AI) is swiftly entering oral health services and dentistry, while most providers show limited knowledge and skills to appraise dental AI applications. We aimed to define a core curriculum for both undergraduate an...

The Prospects of Artificial Consciousness: Ethical Dimensions and Concerns.

AJOB neuroscience
Can machines be conscious and what would be the ethical implications? This article gives an overview of current robotics approaches toward machine consciousness and considers factors that hamper an understanding of machine consciousness. After addres...

Identifying an Optimal Neuroinflammation Treatment Using a Nanoligomer Discovery Engine.

ACS chemical neuroscience
Acute activation of innate immune response in the brain, or neuroinflammation, protects this vital organ from a range of external pathogens and promotes healing after traumatic brain injury. However, chronic neuroinflammation leading to the activatio...

Chardonnay Marc as a New Model for Upcycled Co-products in the Food Industry: Concentration of Diverse Natural Products Chemistry for Consumer Health and Sensory Benefits.

Journal of agricultural and food chemistry
Research continues to provide compelling insights into potential health benefits associated with diets rich in plant-based natural products (PBNPs). Coupled with evidence from dietary intervention trials, dietary recommendations increasingly include ...

Surgeon-anatomist to robotic technician? The evolving role of the surgeon over three centuries.

Journal of the Royal Society of Medicine
In the 18th century, anatomy was the principal science underlying surgical practice. Over the next three centuries, the scientific basis of surgery changed dramatically. Morbid anatomy led to the understanding of organ-based pathologies that allowed ...

Intravascular Tracking of Micro-Agents Using Medical Ultrasound: Towards Clinical Applications.

IEEE transactions on bio-medical engineering
OBJECTIVE: This study demonstrates intravascular micro-agent visualization by utilizing robotic ultrasound-based tracking and visual servoing in clinically-relevant scenarios.

Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods.

IEEE transactions on bio-medical engineering
BACKGROUND: Despite the tremendous prog- ress recently made towards automatic sleep staging in adults, it is currently unknown if the most advanced algorithms generalize to the pediatric population, which displays distinctive characteristics in overn...

Deep Learning-Based Computer-Aided Diagnosis (CAD): Applications for Medical Image Datasets.

Sensors (Basel, Switzerland)
Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for diagnostic prediction over the years. This article focuses on the development of an automated CAD system with the intent to perform diagnosis as accurately as possib...

Enhanced Tooth Region Detection Using Pretrained Deep Learning Models.

International journal of environmental research and public health
The rapid development of artificial intelligence (AI) has led to the emergence of many new technologies in the healthcare industry. In dentistry, the patient's panoramic radiographic or cone beam computed tomography (CBCT) images are used for implant...

Generalisable machine learning models trained on heart rate variability data to predict mental fatigue.

Scientific reports
A prolonged period of cognitive performance often leads to mental fatigue, a psychobiological state that increases the risk of injury and accidents. Previous studies have trained machine learning algorithms on Heart Rate Variability (HRV) data to det...