AIMC Topic: Artificial Intelligence

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Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care.

BMC health services research
BACKGROUND: Artificial intelligence (AI) is a rapidly evolving field which will have implications on both individual patient care and the health care system. There are many benefits to the integration of AI into health care, such as predicting acute ...

Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain.

Science and engineering ethics
The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent ...

Recent developments of e-sensing devices coupled to data processing techniques in food quality evaluation: a critical review.

Analytical methods : advancing methods and applications
A greater demand for high-quality food is being driven by the growth of economic and technological advancements. In this context, consumers are currently paying special attention to organoleptic characteristics such as smell, taste, and appearance. M...

Using artificial intelligence to improve public health: a narrative review.

Frontiers in public health
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. AI has been predominantly employed in medicine and healthcare administration. However, in public health, the widespread employment of AI only began re...

A Systematic Review of Gait Analysis in the Context of Multimodal Sensing Fusion and AI.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
BACKGROUND: Neurological diseases are a leading cause of disability and mortality. Gait, or human walking, is a significant predictor of quality of life, morbidity, and mortality. Gait patterns and other kinematic, kinetic, and balance gait features ...

The Histological Detection of Ulcerative Colitis Using a No-Code Artificial Intelligence Model.

International journal of surgical pathology
Ulcerative colitis (UC) is an intractable disease that affects young adults. Histological findings are essential for its diagnosis; however, the number of diagnostic pathologists is limited. Herein, we used a no-code artificial intelligence (AI) plat...

Leveraging Novel Technologies and Artificial Intelligence to Advance Practice-Oriented Research.

Administration and policy in mental health
Mental health services are experiencing notable transformations as innovative technologies and artificial intelligence (AI) are increasingly utilized in a growing number of studies and services.These cutting-edge technologies carry the promise of sub...

Color-coded laparoscopic liver resection using artificial intelligence: A preliminary study.

Journal of hepato-biliary-pancreatic sciences
Tashiro and colleagues demonstrated for the first time that an artificial intelligence system can precisely identify intrahepatic vascular structures during laparoscopic liver resection in real time through color coding under bleeding and indocyanine...

Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph.

STAR protocols
Biomedical knowledge graphs (BKGs) provide a new paradigm for managing abundant biomedical knowledge efficiently. Today's artificial intelligence techniques enable mining BKGs to discover new knowledge. Here, we present a protocol for implementing a ...

Diagnostic Test Accuracy of artificial intelligence-assisted detection of acute coronary syndrome: A systematic review and meta-analysis.

Computers in biology and medicine
BACKGROUND: Artificial intelligence (AI) has potential uses in healthcare including the detection of health conditions and prediction of health outcomes. Past systematic reviews had reviewed the accuracy of artificial neural networks (ANN) on Electro...