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  • Hongjian Zhou

State of AI4Healthcare: 2023

As the year draws to a close, it's time to reflect on the advancements that have unfolded in AI and healthcare in 2023. It's been quite the journey, with each month bringing us a step closer to a future where healthcare and technology are seamlessly integrated. Stay tuned as we unpack the state of AI and healthcare – a year that has truly underscored the synergy between AI and healthcare excellence.

January 2023: Researchers from UCSF developed an AI to create artificial enzymes or proteins from scratch. MIT and Mass General Hospital developed a deep-learning model for lung cancer risk assessment.

February: OpenAI's ChatGPT passed the US Medical Licensing Exam. Google released a new AI chatbot, Bard. Meta followed up by making public its LLaMA model to push forward open-source development. Daniel Ek, the founder of Spotify, co-founded Neko Health for preventative healthcare through full-body scans.

March: OpenAI launched GPT-4 and ChatGPT APIs, expanding the capabilities and applications of large language models in various sectors, including healthcare. GPT-4 has a record high score surpassing human experts on the US Medical Licensing Exam. Goldman Sachs report predicts that AI could impact 300 million jobs, including healthcare professionals.

April: Bill Gates predicted AI chatbots would transform medical training and patient education, while generative AI's entry into healthcare was hinted at with the development of ‘Quartz,’ an AI-based health coach.

May: OpenAI launched a mobile app, enhancing access to AI tools like ChatGPT. Google's Med-PaLM 2 surpassed human doctors in specific medical tasks, and DeepMind's AlphaFold predicted protein structures. AI pioneer Geoffrey Hinton departed Google, cautioning about AI's potential risks, followed by Yoshua Bengio's call for urgent government regulation of AI.

June: The EU progressed with AI regulation, including for healthcare AI applications to ensure safety and compliance. Chinese and US biotech companies used AI to discover anti-aging medicine.

July: Neko Health's significant funding highlighted AI's growing influence in healthcare technology. Google's Med-PaLM published in Nature. Google released the first multi-modal biomedical large language models.

August: Major AI companies made safety commitments, emphasizing responsible AI development crucial for healthcare applications. Novo Nordisk's Wegovy, an FDA-approved weight-loss drug,  gained popularity for notable weight loss.

September: OpenAI added real-time web browsing capabilities to ChatGPT and introduced its best visual generative model, DALL·E 3. Microsoft entered bioinformatics with EvoDiff, a protein-generating AI. Researchers developed an open-source large language model series for interpretable mental health analysis. Steve Jobs's son started a venture firm to battle cancer.

October: Google introduced a revolutionary AI tool, the Search Generative Experience (SGE), designed to generate summaries for specific search queries. Famous VC firm General Catalyst wanted to purchase a healthcare system to speed up transformation.

November: OpenAI introduced Assistants API along with many other breakthroughs at its legendary dev day, allowing for more integrated AI conversational agents. Elon Musk releases his AI chatbot “Grok”. Meta streamlined its AI strategy by dissolving the Responsible AI team, prompting speculation about its regulatory tactics. OpenAI saw a tumultuous period of executive shifts, with the CEO stepping down and then returning to the helm. NHS England has awarded a contract to operate its future £480m federated data platform to US data analytics giant Palantir. Forward Health launched the first AI-powered doctor's office for self-diagnosis.

December: Google's next-generation AI model, Gemini, outperformed GPT-4, promising advancements in natural language processing. Researchers from Oxford published a comprehensive study and developed multi-modal Large Language Models to tackle harder challenges in healthcare such as the pandemic.


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