Core Insights - Innovative medical technologies are emerging to enhance health management, including a pen for Parkinson's disease screening and an AI fundus camera for assessing risks of hypertension and stroke [1][4]. Group 1: Parkinson's Disease Screening - A pen equipped with multiple sensors can assist in the early screening and medication guidance for Parkinson's disease, set to launch next year [3]. - The device detects subtle hand tremors and muscle pressure while holding the pen, providing data for early diagnosis that can be shared with healthcare providers remotely [3]. Group 2: AI Fundus Camera - The AI fundus camera has gained significant attention, particularly among elderly audiences, as it can generate risk assessment reports for conditions such as hypertension, diabetes, and strokes from a single eye photo [4]. Group 3: Digestive System Examination - A capsule-sized endoscope is designed for digestive system checks, capturing thousands of images and presenting them in a panoramic view, with capabilities for remote transmission [6]. Group 4: AI in Traditional Chinese Medicine - An AI-driven digital guide named "An An" can recommend medical departments based on multi-round consultations and provide traditional Chinese medicine advice aligned with seasonal changes, utilizing a specialized model already implemented in some hospitals in Beijing [6]. Group 5: Future of Healthcare - The integration of artificial intelligence and big data is reshaping healthcare service models, with expectations for improved service quality as these innovations are further adopted [8].

Group 1 - A pen equipped with sensors can assist in the early screening and medication guidance for Parkinson's disease, set to launch next year [3] - The pen detects subtle hand tremors and muscle pressure during writing, allowing users to send results to their doctors remotely [3] - An AI retinal camera generates risk assessment reports for conditions like hypertension and stroke from a single eye photo, attracting significant interest from older audiences [4] Group 2 - A capsule-sized endoscope for digestive system examinations captures thousands of images and can send panoramic views remotely [6] - An AI-driven digital guide named "An An" offers department recommendations and traditional Chinese medicine advice based on seasonal changes, utilizing a specialized model already implemented in some hospitals in Beijing [6] - The integration of AI and big data is transforming healthcare service models, promising improved service quality with the application of innovative technologies [8]

Group 1 - A pen equipped with sensors can assist in the early screening and medication guidance for Parkinson's disease, with plans for market launch next year [3][5] - An AI retinal camera generates risk assessment reports for conditions such as hypertension, diabetes, and stroke from a single eye photo, attracting significant interest from elderly attendees [7] - A capsule-sized endoscope for digestive system examinations captures thousands of images and presents them in a panoramic view, with capabilities for remote transmission [9] Group 2 - AI-driven products related to traditional Chinese medicine are showcased, including a digital guide named "An An" that recommends departments based on multi-round consultations and seasonal health advice [11] - The integration of artificial intelligence and big data is transforming healthcare service models, with expectations for improved service quality as these innovations are adopted [13]

Group 1 - The 2025 Service Trade Fair is ongoing in Beijing, showcasing the latest achievements in service trade, including the release of the "China Service Trade Development Report 2024" and new products from various sectors such as insurance and healthcare [1] - A significant highlight is the introduction of the AI-powered ophthalmology camera at Beijing Tongren Hospital, which provides detailed reports on retinal age and arterial sclerosis risk within minutes, demonstrating the potential of AI in early disease detection [1] - The AI model developed for early disease detection has achieved over 95% accuracy and can identify more than 30 diseases, including those that can lead to blindness [1] Group 2 - The National AI Application Pilot Base is facilitating better connections between clinical practice and research, creating a public and trustworthy data space for hospitals and companies to collaborate on model training and production [2] - AI is significantly enhancing diagnostic capabilities in the healthcare sector, benefiting grassroots healthcare and the general public [2]