EDUCATION AND COMMUNICATIONS|information and information processing|information processing|artificial intelligence
- gaireas leighis bunaithe ar an intleacht shaorga Tagairt Faomhadh an téarma seo mar chuid de Thionscadal Lex
- ga
- gaireas leighis IS-chuidithe Tagairt Téarmeolaithe COM-GA
- ga
- Nóta <<<_not_supplied_>>>
- AI-enabled medical device | AI-based medical device | AI-powered medical device
- en
- Sainmhíniú medical device that has AI technology, including machine learning, embedded in its software Tagairt "COM-Terminology Coordination and COM-EN, based on: - U.S. Food and Drug Administration > Medical Devices > Digital Health Center of Excellence > Software as a Medical Device (SaMD) > Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices (4.12.2023)- International Medical Device Regulators Forum, Proposed Document: Machine Learning-enabled Medical Devices - A subset of Artificial Intelligence-enabled Medical Devices: Key Terms and Definitions (4.12.2023), 16 September 2021."
- Nóta AI in medical devices refers to incorporating advanced computational algorithms and machine learning techniques into healthcare technology to enhance diagnostic, therapeutic, and decision-making processes. AI empowers these devices to analyse and interpret complex medical data, recognize patterns, and make informed predictions, replicating and often surpassing human capabilities. At its core, AI in medical devices encompasses various technologies, including:Machine Learning: This subset of AI involves algorithms that enable devices to learn from data and improve their performance over time without explicit programming. Medical devices equipped with machine learning can recognise intricate patterns in medical images, predict patient outcomes, and aid treatment planning. Deep Learning: A sophisticated form of machine learning, deep learning employs artificial neural networks to mimic human brain processes. Medical devices utilising deep learning can understand intricate relationships within medical data, enabling accurate diagnoses from medical images like X-rays, MRIs, and CT scans. Natural Language Processing (NLP): NLP enables medical devices to comprehend and respond to human language. It is crucial for applications like electronic health record (EHR) analysis, clinical documentation, and patient communication. Predictive Analytics: AI-powered medical devices can forecast patient outcomes based on historical data and current parameters. This aids healthcare providers in making proactive decisions and preventing adverse events. Robotic Surgery: AI-driven robotic surgical systems can assist surgeons in performing intricate procedures with higher precision, stability, and control, potentially reducing complications and recovery times. Medical Imaging Analysis: AI can analyse medical images to detect anomalies, tumours, and other subtle changes that might escape human observation. This expedites diagnosis and treatment planning. Drug Discovery: AI accelerates drug development by analysing large datasets to predict potential drug candidates, optimising molecular structures, and simulating drug interactions. Remote Monitoring: AI-enabled devices can monitor patients remotely, collecting data on vital signs and symptoms, enabling timely intervention and managing chronic conditions.
- dispositif médical à base d'intelligence artificielle
- fr
- Sainmhíniú "dispositif médical embarquant des systèmes décisionnels s'appuyant sur des procédés relevant du champ de l'intelligence artificielle" Tagairt "COM-FR d'après:Haute Autorité de santé > Évaluer les technologies de santé > GUIDE LPPR : Dépôt d’un dossier auprès de la Commission nationale d’évaluation des dispositifs médicaux et des technologies de santé (14.6.2023) > 2.2. Description des fonctionnalités s’appuyant sur des procédésd’apprentissage automatique (technologies relevant du champde l’intelligence artificielle), le cas échéant"