👶 Baby Trains AI

Plus: Elon Musk says if drugs helped productivity he will take it

Author

Kaushee Ganeshan
February 06, 2024

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Welcome to your briefing:

  • AI ROUNDUP: Cedars-Sinai launches behavioral health app on Apple Vision Pro

  • INDUSTRY ROUNDUP: Elon Musk says: if drugs helped my productivity I'd take them

  • WELLNESS BYTES: NEW a dedicated section focusing on longevity, aging, and memory enhancements.

  • INSIGHTS CORNER: ChatGPT and Google BARD put to test with intelligent diagnosis

  • TRIVIA: When was the term "Artificial Intelligence" officially coined?

AI ROUNDUP

WATCH THIS… 👇

Cedars-Sinai launches behavioral health app on Apple Vision Pro

Meet Xaia: a personalized mental wellness companion. Designed by Cedars-Sinai, combines evidence-based psychotherapy with AI and spatial computing to offer personalized mental health support.

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Ok… Now back to AI roundup

  • This baby with a head camera helped teach an AI how kids learn language (Read More)

  • Doctors have more difficulty diagnosing disease when looking at images of darker skin (Read More)

  • 3D-printed brain tissue mimics human function (Read More)

  • Quiet neglect: Algorithmic bias in healthcare is hurting older adults (Read More)

  • Doctors relying on generative AI to summarize medical notes might unknowingly be taking big risks (Read More)

  • AI lawsuits against insurers signal wave of health litigation (Read More)

  • Machine learning algorithms failed to find depression biomarker (Read More)

INDUSTRY ROUNDUP

  • Elon Musk says: if drugs helped my productivity I'd take them (Read More)

  • Mayo Clinic is helping develop a tool providers can use to curb clinical bias (Read More)

  • Medicare drug price negotiations start after Biden administration makes initial offers (Read More)

  • Global cancer cases expected to increase 77 percent by 2050 (Read More)

  • Florida challenges federal requirement to keep kids on health insurance (Read More)

  • The breast cancer burden in lower-income countries is even worse than we thought (Read More)

WELLNESS BYTES

  • Brain training everyone should do daily revealed by Neuroscientists (Read More)

  • 5 longevity tips from top cardiologists (Read More)

  • You can order a test to find out your biological age. Is it worth it? (Read More)

  • Bryan Johnson: Millionaire is peddling eternal life. Why do so many people believe him? (Read More)

INSIGHTS CORNER

#1 - ChatGPT and Google BARD put to test with Intelligent Diagnosis

A new study sought to better understand how well various LLMs could perform when making an intelligent diagnosis based on symptomatology. The experiments were carried out using two medical datasets, which included over 100 symptoms linked to various diagnoses of low- and medium- risk diseases.

ChatGPT and Google BARD Put to the Test with Intelligent Diagnosis

Figure 1 shows the process by which AI models develop their diagnoses. 

Key Findings:

  • Transformer tools, such as ChatGPT, NLP models, and Google BARD, are pre-trained on large datasets and can understand and process human language for tasks, including medical diagnosis.

  • ChatGPT and Google BARD achieved better performance and more accurate diagnosis identification than other models.

  • The BARD engine consistently demonstrated better performance than ChatGPT on both datasets, especially for diagnostic-specific prompts.

  • Smart diagnostic systems can enhance healthcare by providing preliminary online diagnoses, improving emergency patient prioritization, and aiding in health education through symptom-disease understanding.

Significance:

ChatGPT has potential for intelligent medical diagnoses but is prompt dependent and lacks clinician perspective. The paper emphasizes the importance of clinician involvement and suggests the need for further research to enhance ChatGPT's capabilities and address its limitations in real-world medical scenarios.

#2 - AI’s role in pain management

A Biomedicines study from 2023 highlights the potential of using artificial intelligence to analyze and identify patterns in complex data related to pain and mental health.

AI’s Role in Pain Management

Key Findings:

  • The study uses artificial neural networks to map the pain model from low back pain questionnaire data, finding a connection between pain and psychological factors.

  • It reveals that mental health can affect pain perception, incorporating sensory, cognitive, and affective aspects, giving us a more multidimensional understanding of the pain response in the body. 

  • AI is capable of recognizing patterns and analyzing data regarding symptoms that traditional statistical approaches simply cannot.

Significance:

The study demonstrates how artificial intelligence can uncover the complex relationship between psychological factors and pain perception in a way that modern medicine has not been able to before. It highlights the importance of integrating mental health considerations and AI analysis in pain management strategies, offering a pathway for developing more targeted and more effective interventions.

#3- Trend: Less than 6% of US doctors are black or African American

The healthcare worker shortage might not be surprising given the way the pandemic stretched resources and professionals thin, but this data might be. 

Trend: Less Than 6% of US Doctors are Black or African American

The article highlights the underrepresentation of Black or African American physicians in the U.S., constituting only about 5.7% of doctors despite making up 12% of the population. Historical exclusion and systemic racism contribute to this disparity. While there's been a slight increase in Black medical students, challenges remain in retaining them and addressing biases within the healthcare system. Efforts to increase diversity must begin from early education to medical school admissions to promote a more equitable system. 

AI TRIVIA

When was the term "Artificial Intelligence" officially coined?

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HEALTHCARE CONFERENCES

MARCH 

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Until next time,

Kaushee

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