AI 4 Healthcare Newsletter

Welcome to our newsletter, a meticulously curated platform intended to deliver the most recent news, breakthroughs, and published research from the exciting crossroads of AI and Healthcare.

This is the second letter, a lot of great news, I hope you are enjoying your summer time.

AI News in Healthcare

AI At The Doctor? Amazon Launches New Service As Google, Microsoft Aim At Merging Healthcare With Artificial Intelligence. What is this new service: AWS released a new service called Healthtranscribe that can transcribe, extract medical terms and medications and create summaries from doctor-patient discussions. This service will rival the efforts between Microsoft and Epic to use ChatGPT and other LLMs to do the same thing.

AI lawsuits spread to healthcare. Cigna Healthcare is facing a federal class action lawsuit which alleges the company used algorithms to "deny payments in batches of hundreds or thousands at a time," as part of an almost completely automated claims decision process. Why this is important: We will see more of these law suites against payers and tech companies. This also establishes the fear among patients that AI will discriminate against their healthcare choices.

AI is a partner and an ally rather a competitor mindset. Many fear the use of AI in healthcare, whether it’s healthcare professionals worried that that AI will take over their jobs or patients worried AI will decrease quality of care. This article looks at the mindset that AI will only aid healthcare professionals in this long term shortage to improve patient care.

1upHealth spin-off GenHealth AI grabs $13M to fuel large medical model. The company claimed that it will build a large language model (LLM) on medical data and events making it more accurate than ChatGPT and other LLMs on the market. We have to wait and see.

Three Health Systems Partner with Hippocratic AI for Healthcare Transformation. Hippocratic AI, a healthcare platform similar to ChatGTP that is thought to enhance patient care , has received $15 million in funding in addition to the original $50 million when it was launched in May.

AI builds momentum for smarter health care. The opportunity in the life science and pharma industry is huge but we still need time to figure out the best way to maximize the return on investment of AI in the pharma industry.

AI News in the World

Shopify released Sidekick, a specialized agent for e-commerce. The difference between this and ChatGPT is that this agent is trained on your data “ie knows your business” where ChatGPT is not (can be generic and not specific to your need). Some tasks that this Chatbot can do include: craft a blog post announcing, compose an FAQ for our product, generate a monthly sales report.

Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0. Why this is important: this model can write text on the image that is amazing (this was a limitation for generative AI models to add text to an image).

Amazon expands Bedrock with conversational agents and new third-party models. Why this is important: Using Bedrock, you will be able to build an intelligence agent that can use API calls to access your own data. This can be a powerful tool to customize these agents too.

Anthropic, Google, Microsoft, and OpenAI have come together to launch the Frontier Model Forum, an industry body dedicated to ensuring safe and responsible development of frontier AI models. The Forum aims to advance AI safety research, establish safety best practices, share knowledge with various stakeholders, and support efforts to utilize AI for addressing societal challenges. Why this is important: Very important step to assure the safe transition to AI. The big question is will these companies be honest and put society over their financial incentives?

Businesses struggle with AI. According to the early results of a new survey of global executives in data, IT, AI, security and marketing, more than half of organizations are experimenting with generative AI, while 18.2% are already implementing it into their operations. Only 18.2% expect to spend more on the technology in the year ahead. Why this important: We hear a lot about the impact of AI on businesses but the reality is different.

Meta to charge large cloud providers like Amazon and Google for their use of its ChatGPT rival (Llama 2). After all, no free lunch for the big guys 😂.

AI voice generation market is exploding with great products. It is hard to recognize if these voices are real or AI generated. Very scary stuff 😅.

Impactful Publications

In a study published in Nature Biotechnology, a new AI model was built to predict protein structure with higher speed than exciting models. Why this is important: The new model decreases the computational requirement by 4-5X of current exciting models while maintaining the same accuracy.

How will Language Modelers like ChatGPT Affect Occupations and Industries?. Why this is important: This is an interesting paper that discusses the impact of large language models on occupations. Here are the take away messages from it: 1) The list of occupations most exposed to advances in language modeling includes more education-related jobs than the list of occupations exposed to broader AI, indicating language modeling may disproportionately impact education. 2) Industries like higher education, legal services, insurance, and financial services appear as most exposed to language modeling, with some differences from the broader AI exposure list. 3) There is a positive correlation between exposure to language modeling and wages, with higher-paid white collar occupations more exposed to advances in language modeling.

Artificial Intelligence in U.S. Health Care Delivery. A very comprehensive and nicely written review in the NEJM. Highly recommend to read the entire paper but here are a few bullet points: 1) AI adoption in healthcare is slower than in other sectors due to factors such as the complexity of interpreting qualitative information, the multifactorial outcomes in clinical decision-making, and the challenge of integrating AI into complex clinical workflows. 2) The financial environment in which some healthcare organizations operate can lead to a focus on short-term gains at the expense of long-term investments in innovative technologies such as AI. 3) Successful adoption of AI in healthcare may be promoted by organizations that link investment decisions to "total mission value", considering both financial and non-financial factors like quality improvement, patient safety, patient experience, clinician satisfaction, and increased access to care.

Brain2Music: Reconstructing Music from Human Brain Activity. In this paper, the investigators introduce a method for reconstructing music from brain activity, captured using functional magnetic resonance imaging (fMRI) and voxel-wise encoding modeling analysis. This is insane 😇. Love the ingenuity but also scary stuff, right?

Interesting AI tools

This is how to Integrate ChatGPT with Google Sheets Using Google Apps Script. Try it out, it is a lot of fun.

Stable doodle. An AI model from stability AI that can transform your sketches into real image. Mind blowing, you should try it out.

Check out our courses from AI 4 Healthcare

ChatGPT for Healthcare. Discover all you need to know about ChatGPT and its applications in healthcare. Join over 2000 students worldwide who have already enrolled in this course.

No code-low code Machine Learning for Healthcare. This is the only course that provides hands-on examples of machine learning in healthcare. Start building real models immediately upon completion of the course.

Artificial Intelligence and Machine Learning in Healthcare (The Basics). Learn everything you need to know about the basics of AI application in healthcare, explained in simple terminology, without requiring any coding or mathematical experience.