AI-assisted healthcare diagnosis and treatment will be popular around the world in 2024

  1. A voice dialogue system based on the medical knowledge system, which conducts deep learning of disease and medical data to enhance the specific, efficient and digital application of AI in medical treatment. For example, the hardware is a medical microphone. Medical-specific microphones are mainly used to enhance the speaker’s voice, suppress environmental noise interference, and perform artificial intelligence recognition. Form effective diagnosis and treatment methods for speech recognition and detection, monitoring, machine learning, etc. In addition, the speech recognition engine can realize human-computer interaction and text transcription, and the text is automatically entered into the cursor position of the computer or tablet, which is equivalent to a medical-grade “voice input method”. This greatly improves the convenience of collecting medical data.
  2. The AI medical knowledge system includes various diseases, symptoms, drugs and other medical terms. It is the basis of the voice dialogue system and helps complete speech recognition and medical record correction. Greatly improve the efficiency of diagnosis and treatment.
  3. AI+ assisted diagnosis and treatment methods

a. Medical big data collects data in the medical system to assist diagnosis and treatment, collects medical data from all aspects and angles, and submits all data to the AI platform for processing, algorithm calculations, deep learning, data management, applications, etc. .Medical big data-assisted diagnosis and treatment is based on massive medical data and artificial intelligence algorithms to discover disease patterns and provide a reference for doctors’ diagnosis and treatment. This is the most direct value of data.

b. The use of medical robots, the direct use of medical robots in hospitals, refers to robots for diagnosis and treatment.

  1. Bottlenecks of AI-assisted medical care

a. Currently, we are currently facing three major problems: hospital data barriers, small sample size, high cost, and low data structuring ratio (data is not electronic and is saved in paper form).

b. Most early-stage startup companies participate in auxiliary medicine, mainly through scientific research cooperation with hospitals, genetic companies, professional drug research and development companies, and mobile medical companies to provide standardized value-added services.

c. AI cognitive computing uses deep learning algorithms to understand the world of Y medical system big data and create an assistant for human medical cognitive unstructured data. Through understanding, reasoning, learning, and training, the system or humans can directly interact and receive training. Or perform self-training on unstructured data.

d. Cognitive computing has three major commercial applications: product, process and analysis. Product applications embed cognitive computing into products to achieve intelligent behavior, natural communication and automation, allowing product users to understand and calculate AI’s systematic data platform. Process applications realize business process automation. Analytical applications are used to uncover patterns, make predictions and make action decisions.

e. Currently, robots in the medical field mainly include: surgical robots (including orthopedic and neurosurgery robots), gastrointestinal examination and diagnosis robots (including capsule endoscopy, gastroscopy diagnosis and treatment auxiliary robots, etc.), rehabilitation robots and other treatment robots. Robot (intelligent intravenous infusion drug dispensing robot). There are few robots used in other fields. We have innovated health and medical interactive voice robots, which can do health detection, monitoring, follow-up, prevention, protection, safety protection, etc. for families or community groups.

  1. Our AI health and medical work has been carried out globally The global AI health medical robot market has huge space. According to data from Boston Consulting Group, the compound annual growth rate in the next five years will be approximately 15.4%. At present, medical robots are gradually breaking the monopoly of robots. Surgical robot companies mainly conduct business by selling robots to hospitals and providing long-term maintenance services or providing overall engineering solutions for surgical centers. In addition to medical robots, more families are looking forward to convenient disease prevention, health monitoring, early prevention, safety protection, etc. at home or in the community. Our AI health robots have begun to enter many families. Welcome to contact us for consultation.