Artificial Intelligence
Artificial Intelligence (AI) in healthcare is revolutionizing medical diagnostics, treatment, and management by leveraging technologies like machine learning, natural language processing, and robotics. These AI systems excel in interpreting vast medical datasets, enhancing diagnostic accuracy, personalizing treatments, and optimizing healthcare delivery. They support administrative tasks, provide patient assistance through chatbots, and accelerate drug development, potentially transforming healthcare efficiency and patient outcomes. However, this rapid integration of AI in healthcare also necessitates careful attention to data privacy, ethical considerations, and the development of comprehensive regulatory frameworks to ensure its safe and equitable application.
Artificial Intelligence
Latest Posts
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AI/ML: Brainomix 360 Triage ICH
Brainomix 360 Triage ICH uses an artificial intelligence to analyze non-contrast CT images of the brain to identify intracranial hemorrhages.
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AI/ML: The Global Hypoperfusion Index (GHI) Algorithm
The Global Hypoperfusion Index (GHI) Algorithm predicts a patient’s risk of experiencing a global hypoperfusion event using a machine-learning model in critical care settings. It generates an index to alert clinicians of potential hemodynamic instability, aiding in…
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Cloud-Based System Using AI and Radio Waves to Monitor Elderly Health
Researchers at the University of Waterloo have developed a cloud-based system for non-contact, real-time monitoring of elderly people’s health in their living spaces without wearable devices. The system employs low-power millimeter-wave radio systems and AI to track…
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AI-powered smart prosthetic socket for thigh amputees
The Korea Institute of Machinery and Materials (KIMM) has developed an innovative, customizable prosthetic socket that automatically fills the socket with air upon detecting the empty space inside of the socket in real time based on artificial…
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Chemistry42 – AI-based drug discovery platform
Researchers from Insilico Medicine have published a paper in the Journal of Chemical Information and Modeling on the use of its AI platform, Chemistry42, for designing novel drugs for diseases. Launched in 2020, the platform includes 42…
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Machine learning algorithms to speed up image biomarker analysis in heart MRI scans
According to research published in journal Circulation:Cardiaovascular imaging cardiac MRI analysis utilizing machine learning algorithms can be performed significantly faster and with similar precision compared to human experts. In the study, researchers trained a neural network to…
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Early diagnosis of Alzheimer’s disease using artificial intelligence
According to a study published in the journal of radiology, research shows that artificial intelligence (AI) technology predict the development of Alzheimer’s disease early. Early diagnosis of Alzheimer’s is important as treatments and interventions are more effective early…
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Artificial intelligence algorithm to predict and prevent spread of infectious diseases
Team of researchers from USC Viterbi School of Engineering has created an algorithm that can help policymakers reduce the overall spread of disease. The algorithm is optimized to make the most of limited resources, such as advertising…
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Computational model to track flu using Twitter data
An international team led by Alessandro Vespignani from Northeastern University has developed a computational model to predict the spread of the flu in real time. This unique model uses posts on Twitter in combination with key parameters…
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Artificial intelligence project to identify skin cancer based on machine learning algorithm works as good as a doctor
Universal access to health care was on the minds of computer scientists at Stanford when they set out to create an artificially intelligent diagnosis algorithm for skin cancer. They made a database of nearly 130,000 skin disease…
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