This AI turns thoughts into pictures 𖡎👉🌄

Hey!

Welcome to this week’s edition of Supermedic, where we explore the latest developments in artificial intelligence and its transformative impact on healthcare.

Let’s get into it!

Victor

TODAY’S MENU

• Sam Altman and Arianna Huffington to Launch ‘Hyper-Personalised’ AI Health Coach

• Mind-Reading AI Turns Thoughts Into Pictures More Accurately Than Even

• What All Leaders Can Learn from How AI is Revolutionizing Medicine (VIDEO)

• How AI is Reducing Administrative Burden at Mass General Brigham

Read time: under 5 minutes

DIGITAL HEALTH

Sam Altman and Arianna Huffington to Launch ‘Hyper-Personalized’ AI Health Coach

Sam Altman, OpenAI CEO, and Arianna Huffington, founder of behavior tech company Thrive Global, have unveiled a startup Thrive AI Health: a hyper-personalized health coach, driven by AI. It seeks to model healthy behaviour in users based on their health data, with a special focus on chronic conditions like diabetes.

Key Details:

• The AI coach will address five crucial areas: sleep, nutrition, fitness, stress management, and social connection, providing comprehensive health guidance.

• Leveraging the latest scientific research, biometric data, and user preferences, Thrive AI Health will deliver personalized and actionable health recommendations tailored to individual needs.

• Former Google product management leader DeCarlos Love will serve as CEO. He previously oversaw Fitbit, the Pixel Watch, and Wear OS.

Why it Matters: With the rise of chronic diseases and healthcare costs, AI-driven personalized coaching could be a game-changer, enabling anyone to leverage their data for health improvements. Additionally, Altman's network of companies and partners is ideally positioned to build a major powerhouse in AI healthcare..

NEUROSCIENCE

Mind-Reading AI Turns Thoughts Into Pictures More Accurately Than Ever

Humans have long fantasized about the ability to read minds. Today, this age-old dream is inching closer to reality. Researchers at Radboud University (NL) just developed an AI system that can recreate with remarkable precision what a person is looking at, based solely on the electrical signals of the brain.

How It Works

• Brain Activity Data: The team used fMRI scans of humans and direct electrode recordings from a macaque monkey to capture brain activity while viewing images.

• Predictive Attention: The team introduces PAM (Predictive Attention Mechanism) into the AI system to teach him which parts of the brain to focus on.

• Improved Reconstruction: PAM enables AI to target the most relevant brain signals, thus improving the reconstruction of images perceived by subjects (see result on middle rows).

According to lead researcher Umut Güçlü, these are "the closest, most accurate reconstructions" to date.

Why It Matters: This research is part of an ambitious long-term vision: to develop implants capable of restoring vision. The ultimate goal would be to directly stimulate the brain areas associated with object perception, opening up new prospects for the visually impaired and blind.

While promising, this technology still has some limitations like using images already in the dataset. It also raises important ethical questions concerning privacy and the protection of individual thoughts.

MUST WATCH

What All Leaders Can Learn from How AI is Revolutionizing Medicine

In a recent podcast, Peter Lee, President of Microsoft Research, discusses the significant impact of AI in healthcare. Here are some of his key advice that stood out to me:

1. Focus on the Human Element: AI can handle repetitive tasks and make things run smoother, but healthcare is still about people. Lee stresses the importance of fostering a culture that values empathy, compassion, and human connection.

2. Promote Transparency and Explainability: AI can be complicated and hard to understand, which can lead to mistrust. Lee recommends being clear about how AI is used and making sure decisions are easy to understand to build trust.

3. Invest in Education and Training: AI is advancing quickly. It’s important to keep investing in education and training so everyone can use AI effectively and keep up with changes.

4. Be Patient and Open to Change: Implementing AI takes time and requires adjustments. Lee highlights the need for patience and openness to new ways of working.

5. Focus on Real-World Evidence: AI can help collect and analyze data from real-world experiences, which can improve medical practices and outcomes.

AI SAVES TIME

How AI is Reducing Administrative Burden at Mass General Brigham

Speaking of real-world experiences, Mass General Brigham is pioneering the use of AI technologies to improve the relationship between caregivers and patients. One notable innovation is the implementation of ambient documentation tools, which have shown significant promise in reducing administrative burdens.

Test Environment:

• Initial Setup: The initial proof of concept involved around 20 clinicians across various specialties to understand workflow needs and safety concerns.

• Recording Visits: Approximately 500 patient visits were recorded using a smartphone-based ambient listening application, with patient permission, to ensure the system accurately captured conversations.

Results:

• High Accuracy: About 90% of the AI-generated drafts were included in the final clinical notes, indicating a high level of accuracy and reliability in documenting patient interactions.

• Positive Feedback: Clinicians reported significant improvements in their ability to focus on patients rather than administrative tasks, reducing stress and enhancing the quality of care. One clinician noted, "I can now look at my patients during their visit rather than looking at the computer."

Looking Forward: Due to overwhelming interest and positive results, the pilot program expanded from an initial 400 clinicians to 800, demonstrating the tool's scalability and effectiveness across various departments. The next phase of evaluation will include a broader range of clinicians to refine the technology and fully understand its benefits, aiming to further reduce clinician burnout and enhance patient care through efficient documentation.

Must-Read AI Healthcare News This Week

• Business: Personalized health testing startup Function Health secures $53M, backed by Matt Damon and Pedro Pascal, revolutionizing proactive healthcare with extensive annual lab tests.

• Oncology: AI tool predicts nerve damage risk from breast cancer drug taxanes, helping tailor treatments and reduce side effects.

• Physician Health: Burnout falls slightly thanks to AI, but still affects these 6 physician specialties the most.

• Neuroscience: AI tool EMOKINE decodes hidden emotions through body movements, revolutionizing our understanding of nonverbal communication.

• Radiology: AI tool quadruples cancer detection in dense breast tissue, enhancing accuracy and reducing costs of supplemental MRIs.

• Regulation: Biden’s health AI leaders, Tripathi and Tazbaz, step down from CHAI roles as government refocuses AI oversight and industry collaboration.

• Surgery: Cancer patient’s voice restored with world’s first larynx transplant.

Thanks for reading!