Useful AI tools for healthcare to try, and engage and learn — 1.0
Disclaimer:
The list of AI tools mentioned below is my personal opinion and the tools I have explored to enrich my experience.
The tools can also have other applications in other domains apart from healthcare.
The list of AI tools is exhaustive and new tools might be added even when you read this article.
The tools are listed in a random order and does not have any ranking significance.
ChatGPT
https://chat.openai.com/auth/login
ChatGPT (short for “Chat Generative Pre-trained Transformer”) is a natural language processing (NLP) model developed by OpenAI. It is a variant of the GPT-3 model that is specifically designed for generating text in a conversational style.
Text generated with ChatGPT on the role of ChatGPT in healthcare:
ChatGPT can be used in a variety of applications, including healthcare. Here are a few examples of how ChatGPT could be used in healthcare:
- Chatbot for patient support: ChatGPT could be used to build a chatbot that provides support to patients. For example, the chatbot could answer questions about medication, provide information on how to manage a particular condition, or offer guidance on how to stay healthy.
- Virtual assistant for doctors: ChatGPT could be used to build a virtual assistant that helps doctors manage their workload and improve their efficiency. For example, the assistant could help schedule appointments, remind doctors of upcoming tasks, and provide information on patient records.
- Generating medical reports: ChatGPT could be used to generate medical reports based on data from electronic health records (EHRs) or other sources. This could save time for doctors and other medical professionals, allowing them to focus on more high-value tasks.
- Improving customer service in healthcare: ChatGPT could be used to build a chatbot that provides customer service for healthcare organizations. For example, the chatbot could answer questions from patients about billing, appointment scheduling, or other issues.
Overall, ChatGPT has the potential to improve the efficiency and effectiveness of healthcare by automating routine tasks and providing timely and accurate information to patients and medical professionals.
MedSeg
Web-based tool with allows fast performance and allows free, simple volume segmentation of radiological images manually or using AI models
Segmentation and markings on scans of the Head and Neck region wth MedSeg
Pix2pix
Developed using a cGAN, or conditional generative adversarial network. cGan empowers the algorithm to comprehend the lines of an input to then generate an accurate output.
Draw something (typically primitively) and the algorithm will guess what it is the user was trying to draw, and then generate a photo-realistic image of that same thing.
Generating a tooth from a scribbling in Pix2pix tool
Talk to Books
https://books.google.com/talktobooks/
A google service that allows the user to simply type in any question or statement to test the model with, and the model will always come back with something interesting. It’s just like talking to a book.
Generating content for “Digital Health” topic from Talk to Books
GFP-GAN
GFP-GAN (Generative Facial Prior-Generative Adversarial Network) was developed by Tencent researchers by merging info from two AI models to fill in a photo’s missing details with realistic detail in a few seconds, all the while maintaining high accuracy and quality.
Generating a repaired dental radiograph using GFP-GAN
Copy.ai
Copy.ai could be helpful for healthcare content creators because this copywriting tool generates unique content.
The below Medium article was created using Copy.ai
The ecosystem is evolving as you read this article. So, I plan to write follow up articles in the same context
About me:
I am an interdisciplinary expert with both healthcare and medical informatics expertise. Following a career in academics and in clinical dentistry, I moved into healthcare informatics, interoperability, standards and data science. I immensely believe that apt use of health data, analytics, automation, and responsible AI can spark a digital metamorphosis in health systems across the global healthcare ecosystem. I also consults and volunteer in digital health projects both nationally and internationally. I also consult and provide workshops in interoperability, standards, ML and AI in healthcare.