Discover and read the best of Twitter Threads about #aiinmedicine
Most recents (3)
If you think ChatGPT is revolutionary, brace yourself for AutoGPT.
This groundbreaking AI technology is taking artificial intelligence to new heights with real-life examples and scenarios.
Follow along for mind-blowing insights! #AutoGPT #AIRevolution
This groundbreaking AI technology is taking artificial intelligence to new heights with real-life examples and scenarios.
Follow along for mind-blowing insights! #AutoGPT #AIRevolution
1. AutoGPT, aka BabyAGI, is a powerful AI language model built on the GPT-4 architecture.
It's designed to perform a wide range of tasks with human-like understanding, enabling it to adapt and generalize across various domains. #NextGenAI #ArtificialGeneralIntelligence
It's designed to perform a wide range of tasks with human-like understanding, enabling it to adapt and generalize across various domains. #NextGenAI #ArtificialGeneralIntelligence
2. One-Shot Learning: AutoGPT can quickly learn new concepts and tasks with minimal input.
For example, it can understand a user's request to create a personalized workout plan after analyzing just a few key parameters like fitness level, goals, and available equipment.
For example, it can understand a user's request to create a personalized workout plan after analyzing just a few key parameters like fitness level, goals, and available equipment.
2022 was wild for medical #AI and esp. medical foundation models (FMs).
This 🧵lists some of the standout papers from this year about this topic. Let's go!
(1/9)
#medtwitter #AIinMedicine #medicalAI @NatureMedicine
This 🧵lists some of the standout papers from this year about this topic. Let's go!
(1/9)
#medtwitter #AIinMedicine #medicalAI @NatureMedicine
First, some excellent reviews explaining some key preliminaries of FMs:
🔍 self-supervised learning:
a paradigm that allows for the training of AI models w/o explicit and costly labels (huge for medical applications).
nature.com/articles/s4155…
(2/9)
🔍 self-supervised learning:
a paradigm that allows for the training of AI models w/o explicit and costly labels (huge for medical applications).
nature.com/articles/s4155…
(2/9)
🔍 multimodal AI:
Medicine is driven by various types of data that hold complementary information. The rise of multimodal medical AI promises holistic views on patients and their diseases.
nature.com/articles/s4159…
(3/9)
Medicine is driven by various types of data that hold complementary information. The rise of multimodal medical AI promises holistic views on patients and their diseases.
nature.com/articles/s4159…
(3/9)
1. I’m a supporter of making more efficient use of information. But something about this piece bothers me. Thread. #ai #MachineLearning #medialAI #AIinMedicine
Machine Learning in Medicine | NEJM nejm.org/doi/full/10.10…
Machine Learning in Medicine | NEJM nejm.org/doi/full/10.10…
2. “this is the promise of machine learning in medicine: the wisdom contained in the decisions made by nearly all clinicians and the outcomes of billions of patients should inform the care of each patient....”
3. “That is, every diagnosis, management decision, and therapy should be personalized on the basis of all known information about a patient, in real time, incorporating lessons from a collective experience.”
