5. During a pandemic, hospitals have to decide quickly which patients should be admitted for further treatment. The hospitals have already manually scanned through a small number of medical records (including data such as daily blood pressure, daily body temperature) and decided which patients should be admitted. The hospitals would like to explore using AI to scan through more medical records of patients for making admissions decisions. Which type of technique should they use?在一次傳染病全球大流行期間，醫院需要迅速地決定病人應否入院作進一步的治療。現時醫院已透過工作人員檢視小部份病人的醫療紀錄（數據包括：每日血壓及體溫）以決定病人應否入院。醫院希望研究運用人工智能檢視更多病人醫療紀錄用作決定病人入院的需要。醫院應使用以下哪一種技術？Classification algorithm分類演算法Convolution neural network 卷積神經網路Clustering algorithm分群演算法Object detection 物件偵測

Step 6: AI in Medicine Artificial Intelligence (AI) is indeed revolutionizing healthcare. For instance, AI is used in predictive analytics to identify trends and make predictions about disease outbreaks. This is done by analyzing vast amounts of data from various sources such as hospitals, health records, and even social media. An example of this is Google's DeepMind Health project, which uses AI to mine medical records in order to provide better and faster health services. Moreover, precision medicine uses AI to tailor treatment to individual patients based on their genetic makeup. This means that instead of a one-size-fits-all approach, treatments are customized for each patient, increasing the chances of success. For example, IBM Watson Genomics uses AI to analyze a patient's genetic data and provide personalized treatment options. Robotic surgery, powered by AI, allows for more precise and minimally invasive procedures. The da Vinci Surgical System, for instance, uses AI to assist surgeons in performing complex surgeries with greater precision and control than conventional techniques. Step 7: Advantages of AI AI offers numerous advantages. It can process vast amounts of data quickly and accurately, making it invaluable in fields like finance and healthcare. For example, AI algorithms can analyze financial markets and make predictions with a level of speed and accuracy that surpasses human capabilities. AI can also perform tasks 24/7 without fatigue, making it more reliable than human workers in certain contexts. For instance, AI-powered customer service bots can handle customer inquiries round the clock, providing businesses with a cost-effective way to improve customer service. Step 8: Ethical Considerations in AI However, AI also raises ethical concerns. Bias in algorithms can lead to unfair outcomes. For example, if an AI system is trained on data that reflects societal biases, it may perpetuate or even amplify these biases. Data privacy is another concern, as AI's ability to analyze and store vast amounts of personal data could potentially be misused. For instance, there have been concerns about how tech companies use AI to analyze user data for targeted advertising. The impact of AI on employment is also a concern, as AI could potentially replace human workers in certain fields. For example, self-driving vehicles could potentially replace truck drivers. Step 9: Future Trends in AI Looking ahead, AI is set to continue evolving. Explainable AI, which aims to make AI decisions more transparent and understandable, is an emerging field. This is important as it can help build trust in AI systems and ensure they are used responsibly. The integration of AI with other technologies like the Internet of Things (IoT) and blockchain also holds promise. For instance, AI could be used to analyze data from IoT devices to make smarter decisions, while blockchain could provide a secure and transparent way to track AI decisions. (write reference

Which of the following is NOT a typical application of AI in the healthcareindustry?*1 pointMedical diagnosis assistanceDrug discovery and developmentPersonalized fitness trackingSurgical robot operation

"Many experts believe that artificial intelligence (AI) will play a significant role in the future of healthcare. AI systems can analyze vast amounts of medical data quickly, leading to faster diagnoses and more personalized treatment options." What is the evidence or reasoning provided to support the conclusion?The current absence of AI systemsThe availability of medical dataFaster diagnoses and more personalized treatment optionsThe lack of expertise among healthcare professionals

In what ways is AI enhancing health-care?By diagnosing and treating all diseases without human interventionAI tools are helping healthcare workers save timeBy automating all jobsAI administer injection

Which of the following is an application of AI in healthcare?Answer areaPredictive maintenanceImage recognition for disease diagnosisFraud detectionCustomer service chatbots