What does ChatGPT mean for healthcare?

ChatGPT is probably the fastest growing consumer internet application ever. The AI ​​chatbot developed by OpenAI was launched in November and reached 100 million users in just two months. Its unprecedented popularity can be attributed to its impressive features.

 

What can ChatGPT do and why is it so popular?

Artificial intelligence, once the stuff of science fiction, is now widely used, even in our everyday lives — often without us thinking about it. However, until recently, AI has not been able to truly understand content. While AI can already read and write, it lacks the next level of intelligence that comes from understanding. With ChatGPT, the next level seems to have been unlocked.

ChatGPT exists as an AI-enabled chatbot that mirrors intuitive human conversation. It can write essays, essays, job applications, and even jokes and poems based on text prompts. Since its launch in November 2022, ChatGPT has amazed the world with its powerful capabilities,

Passed law exams at the University of Minnesota and the Wharton School of the University of Pennsylvania, wrote long-form articles, and wrote a fully-coded website.

The popularity of ChatGPT stems from human curiosity about the great capabilities of this technology. Its novelty and applicability to a wide range of industries means its full potential has yet to be discovered. Leaders across industries are already exploring what it can do for them. ChatGPT is poised to disrupt numerous industries, search engines, education, graphic design, research, healthcare, retail, banking, manufacturing, logistics and travel have been identified as industries that will benefit from the technology.

Application of ChatGPT in health care?

ChatGPT has many potential applications in the field of healthcare, and the extent to which ChatGPT improves healthcare may lead to profound changes in our healthcare system.

In the wake of the COVID-19 pandemic, we have seen an increase in the use of telehealth, and ChatGPT can facilitate this shift to telehealth management by developing a virtual assistant to book patient appointments, assist patients with treatment, and manage their health information change.

While human physicians will always be required to make the final decisions on health care decisions, ChatGPT can assist clinical decision support by providing real-time, evidence-based recommendations, such as flagging potential drug interactions, suggesting treatment options for specific conditions, and providing relevant clinical guidelines.

Medical record keeping is another area where ChatGPT could potentially improve health care systems. It can summarize a patient's medical history, effectively simplifying the record-keeping process. In theory, health care professionals could call the shots on ChatGPT, which could automatically summarize key details.

Real-time translation is another feature of ChatGPT that can be used in healthcare. The system's advanced language processing capabilities can be used to quickly and accurately translate technical and medical terminology, ensuring patients fully understand their diagnoses, treatment options and medical instructions.

Clinical trials are critical to the advancement of a healthy healthcare system. They are critical for the development of new treatments, diagnostic tools and prevention strategies. ChatGPT identifies patients who meet inclusion criteria, helping researchers connect with patients willing to participate in clinical trials.

There are already a number of online tools designed to check symptoms to help patients determine when they need to seek medical attention. ChatGPT can be used to develop more accurate and reliable symptom checkers that provide more granular guidance for next steps.

ChatGPT also has the potential to enhance medical education. The system can provide health care professionals and students with instant access to the medical information and resources they need to support their development.

Finally, ChatGPT has potential applications in mental health support, remote patient monitoring, medication management, disease monitoring, medical writing, patient triage, and more.

 

Chatgpt used in health care needs to combine technologies such as natural language processing, machine learning, data mining, knowledge base and database, and has high requirements for medical professionals.

Jinglianwen Technology is the leading enterprise in the AI ​​basic data industry, with a large amount of medical data reserves, including relevant medical books, medical papers, medical journals, medical images, real doctor-patient diagnosis and treatment recordings, diagnosis and treatment texts, sports and health data, etc.

With a wealth of medical expert resources, knowledge can be extracted from data of different sources and structures, and knowledge can be formed and stored in the knowledge map. Experts in the medical field can label data information in vertical fields to ensure data quality and meet current labeling requirements.

Jinglianwen Technology has an experienced data annotation team of thousands of people and rich experience in image and text annotation. It can provide image and NLP related data collection and data annotation services for large-scale medical treatment, and quickly deploy relevant experienced personnel according to customer needs. Annotator.

For medical data customized labeling services, JLW Intelligent Medical Labeling Platform supports multiple types of medical data labeling, which can provide models with rich, accurate and structured medical knowledge.

The products provided by Jinglianwen Technology are full-chain AI data services, from data collection, cleaning, labeling, to the whole process of on-site, one-stop AI data services for vertical field data solutions, which meet the needs of various application scenarios. To meet the needs of data collection and labeling business, assist artificial intelligence companies to solve the corresponding problems in the data collection and labeling link in the entire artificial intelligence chain, promote the application of artificial intelligence in more scenarios, and build a complete AI data ecology.

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Origin blog.csdn.net/weixin_55551028/article/details/130731036