• Supermedic.ai
  • Posts
  • AI enables new hope for Parkinson's treatments ✨

AI enables new hope for Parkinson's treatments ✨

AND: GPT-4 Matches Radiologists in Detecting Errors, Generative AI Gaining Trust Among U.S. Physicians, Winning Ideas from Harvard AI Hackathon

In partnership with


Welcome to this new edition of Supermedic!

This week we'll explore how AI is revolutionizing drug discovery, enhancing radiology report analysis, and transforming patient care interactions. Prepare to discover promising new tools that could reshape the future of medicine.

Let’s get into it!



  • How AI and Big Tech are Shaping the Future of Healthcare (VIDEO)

  • AI Enables New Hope For Parkinson's Treatments

  • GPT-4 Matches Radiologists in Detecting Errors

  • Generative AI Gaining Trust Among U.S. Physicians (STUDY)

  • AI Solutions to Improve Healthcare from Harvard Hackathon

Read time: under 5 minutes


How AI and Big Tech Are Shaping the Future of Healthcare

Our current healthcare system is good at treating illnesses, but not so good at preventing them. That's about to change.

In this interview, Dr. Lloyd Minor, Dean of Stanford School of Medicine, discussed with Rich Roll the transformative impact of AI in healthcare.

In this conversation, you'll learn about:

  • Why AI is considered the most significant turning point in medicine since antibiotics.

  • How AI is revolutionizing healthcare delivery, research, and diagnostics.

  • The potential and challenges of AI in areas like imaging, precision medicine, and early disease detection.

  • The future of healthcare, including personalized prevention, virtual reality in medical education, and even 3D printed organs!

Is Your Healthcare Tech Truly Interoperable?

To succeed in today’s healthcare IT revolution, products must enable interoperability across many disparate data sources. Ententee works closely with product developers and systems integrators, building cutting-edge healthcare technologies while complying with all regulatory requirements. If you’re ready to join the wave of innovators successfully leveraging the world’s best-in-class data interoperability practices, give Ententee a call today—and discover how our experts help make it happen!


AI Enables New Hope For Parkinson's Treatments

Researchers from the University of Cambridge just developed an AI method to rapidly find potential treatments for Parkinson's disease.

The team uses machine learning to swiftly navigate through a massive chemical library, quickly pinpointing on five promising compounds that prevent the clumping of alpha-synuclein—a protein closely linked to Parkinson’s.

Why it Matters:

Instead of laboriously testing thousands of compounds in the lab, the researchers used AI to do the heavy lifting, identifying potent inhibitors much faster. This means less time from discovery to development, potentially getting new treatments to patients much quicker.

Their innovative approach could dramatically accelerate the time it takes for new treatments to reach patients, offering a glimmer of hope for the over six million people worldwide battling Parkinson’s. With patient numbers expected to triple by 2040 and no disease-modifying treatments currently available, the stakes couldn't be higher.


GPT-4 Matches Radiologists in Detecting Errors

In a study published in RSNA (Radiological Society of North America), GPT-4 has proven capable of matching radiologists in detecting errors in radiology reports. The study, led by Dr. Roman J. Gertz of the University Hospital of Cologne highlights the potential of GPT-4 to streamline radiology workflows by reducing the time and cost associated with correcting reports.

Study Insights:

  • Error Detection: GPT-4 achieved an 82.7% error detection rate across 200 radiology reports, which included intentional errors across five categories. While the best senior radiologist achieved a 94.7% detection rate, GPT-4's performance was on par with the average across all participating radiologists.

  • Time and Cost Efficiency: GPT-4 required less processing time per report compared to human radiologists and also resulted in a lower mean correction cost per report ($0.03 vs. $0.42).

Implications for Radiologists:

Dr. Gertz suggests that integrating AI like GPT-4 into radiology departments can not only enhance diagnostic accuracy but also address critical challenges such as rising demand for radiology services and the need to reduce operational costs. The study demonstrates GPT-4's role in improving patient care outcomes by providing more reliable and affordable diagnostic services.


Generative AI Gaining Trust Among U.S. Physicians

Physician attitudes towards GenAI in Healthcare have quickly become more receptive over the past year

A new survey by Wolters Kluwer Health reveals a significant shift in U.S. physicians' attitudes towards GenAI. Over two-thirds (68%) report a change in perspective, now viewing GenAI as potentially beneficial in healthcare.

Key Findings:

  • Increased Acceptance: 40% of doctors are ready to use GenAI this year in patient interactions.

  • Trustworthiness remains paramount: 89% of physicians need clear information about the source and creation process of GenAI content before using it.

  • Benefits Seen in Efficiency: Many physicians see GenAI as a time-saver. Over two-thirds believe it can accelerate medical literature searches and summarize patient data from electronic health records (EHRs).

  • Potential to Improve Patient Care: 81% of physicians think GenAI can enhance care team interactions with patients.

The survey also highlights a disconnect between doctors and patients. While Two-thirds of physicians believe patients would trust GenAI for decisions, only half of patients share that confidence. Similarly, doctors underestimated patient concerns about GenAI in diagnosis.


Winning Ideas from Harvard AI Hackathon

A global hackathon organized by Harvard's Health Systems Innovation Lab (HSIL) brought together over 500 participants from 30 countries to develop digital health and AI solutions for pressing healthcare issues.

Winning Ideas:

  • SweetAudio (Cardiovascular Disease & Diabetes Track): This AI model analyzes voice patterns to estimate blood glucose levels. It aims to provide a free, non-invasive option for low-income populations lacking access to traditional monitoring methods.

  • Sam(dot)io (Mental Health Track): This AI chatbot helps patients with medication adherence. It uses personalized follow-up care, understands patient emotions through voice and language analysis, and offers support via phone and text.

Next Steps:

Winning teams from each location will compete in a global judging round in May. The ultimate winners will participate in HSIL's Venture Incubation Program (VIP). This six-month program offers mentorship, business development support, and resources to help refine their ideas and launch successful healthcare startups.

Thanks for reading!

Let’s improve the newsletter together!🌟

What did you think about this weekly edition?

Take a second to let us know by clicking your answer below.

Login or Subscribe to participate in polls.

Join the conversation

or to participate.