Artificial intelligence has made significant strides in 2023, particularly in the medical field. Some notable models include Med-PaLM 2, Bioformer, MedLM, RoseTTAFold, AlphaFold, and ChatGLM-6B. These models show promise in transforming medical processes, from providing high-quality medical answers to predicting protein structures. Researchers continue to assess and fine-tune these models for safe deployment in critical healthcare domains.
“`html
Artificial Intelligence Models for Medical Landscape (2023)
Med-PaLM 2
Med-PaLM, designed by Google Research, provides high-quality answers to medical questions, achieving human expert level in USMLE-style questions. It demonstrates the ability to understand symptoms, perform complex reasoning, and choose appropriate treatment, with an 86.5% accuracy on the MedQA medical exam benchmark.
Bioformer
Bioformer is a compact version of BERT for biomedical text mining, with a significantly smaller model size and high performance in named entity recognition, relation extraction, question answering, and document classification.
MedLM
Developed by Google, MedLM offers foundational models fine-tuned for healthcare use cases, automating tasks to save time, increase efficiency, and improve overall patient health. It has been integrated with other AI systems to enhance clinical research and development.
RoseTTAFold
RoseTTAFold predicts protein structures from limited information, facilitating drug discovery research. Its code has been made public to benefit the entire community.
AlphaFold
AlphaFold, developed by DeepMind, predicts the 3D structure of proteins with high accuracy and has the potential to advance biological research. It has partnered with EMBL-EBI to release a database containing AI-generated protein structure predictions.
ChatGLM-6B
ChatGLM is a bilingual model fine-tuned on a database of medical dialogues in Chinese, with excellent dialogue and question-answering capabilities.
Practical AI Solutions for Middle Managers
If you want to evolve your company with AI, stay competitive, and use it to your advantage, consider the following:
- Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
For AI KPI management advice, connect with us at hello@itinai.com. For continuous insights into leveraging AI, stay tuned on our Telegram channel or Twitter.
Spotlight on a Practical AI Solution
Consider the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages.
Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com.
“`
