DAILY UPDATE: Elizabeth Holmes to Jail 2 Day & A.I.

Posted on May 30, 2023 by Dr. Marcinko

By Staff Reporters

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  • Theranos’ founder, Elizabeth Holmes, is finally set to report to prison today. After several delays, she’s expected to report to a federal prison in Texas by 2 p.m. Once worth $4.5 billion, Holmes can expect a drastic change in lifestyle. The Theranos founder turned convicted fraudster is set to bid adieu to her freedom and her estate home costing $13,000 a month as she commences an 11-year prison sentence.
  • MORE: https://www.bbc.com/news/world-us-canada-65678967

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The AI hype train that left the station last November with ChatGPT’s release made its grand arrival on Wall Street last week. According to Bloomberg, the top seven tech stocks (Microsoft, Alphabet, etc.) gained a combined $454 billion in market cap over five days, fueled by Nvidia’s earnings report that many considered a watershed moment for the technology. AI’s disruptive potential is why the tech-heavy Nasdaq is leaving the other indexes in the dust this year.

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GAP BETWEEN A.I. AND BEDSIDE: Participatory Workshop on the Barriers to the Integration, Translation, and Adoption of Digital Health Care and AI Startup Technology Into Clinical Practice

Posted on May 19, 2023 by Dr. Marcinko

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The study examines the challenges of integrating new technologies in clinical practice, identified four primary barriers: insufficient knowledge of health system technology procurement protocols, which can vary across facilities; strict regulations and clinical trial requirements; obstacles in the health system technology procurement process; and competitive disadvantages for smaller startups.

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SECRET: Ways A.I. Companies Might Use Your Personal Data

Posted on March 3, 2023 by Dr. Marcinko

By Bertalan Mesko MD PhD

The Medical Futurist

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Pictures, text prompts, documents and health metrics are just a few examples of data we’re giving away to different AI applications and thus, to different companies/organizations.

What happens to this data? Who owns the various outputs generated by us and/or algorithms? We dig into this topic and were not feeling at ease by the end of the trip.

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PODCAST: Nuance DAX: Conversational Healthcare A.I.

Posted on February 11, 2023 by Dr. Marcinko

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In the patient-physician relationship, time is precious. Nuance DAX helps physicians to focus on patient care during appointments—instead of paperwork and documentation. Nuance DAX uses sophisticated conversational AI and ambient technology to capture and contextualize the patient encounter, reducing documentation time by 50%.

Learn more.

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ARTIFICIAL INTELLIGENCE: Google V. Microsoft

Posted on February 8, 2023 by Dr. Marcinko

The AI Gloves are Coming Off?

By Staff Reporters

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Google (GOOG, GOOGL) just announced several new AI-powered features for its Search, Maps, and Lens apps. The announcement comes just a day after rival Microsoft (MSFT) rolled out a new version of its Bing search engine complete with generative AI capabilities, bringing a rare threat to Google’s search supremacy.

But, shares of Google parent company Alphabet were down more than 7% today as investors expressed skepticism about these new features.

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HEALTHCARE: Top A.I. Companies to Watch!

Posted on January 30, 2023 by Dr. Marcinko

By Bertalan Mesko MD PhD

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TOP ARTIFICIAL INTELLIGENCE COMPANIES IN HEALTHCARE TO KEEP AN EYE ON 

More and more companies set the purpose to disrupt healthcare with the help of artificial intelligence. Given how fast these companies come and go, it can prove to be hard to stay up-to-date with the most promising ones.

CITE: https://www.r2library.com/Resource/Title/0826102549

So, I collected the most prominent names currently on the market ranging from start-ups to tech giants to keep an eye on in the future.

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Artificial Intelligence Passes U.S. Medical Licensing Exam

Posted on January 29, 2023 by Dr. Marcinko

ChatGPT

By Staff Reporters

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Two papers show that large language models, including ChatGPT, can pass the USMLE. The papers highlighted different approaches to using large language models to take the USMLE, which is comprised of three exams: Step 1, Step 2 CK, and Step 3. ChatGPT is an artificial intelligence (AI) search tool that mimics long-form writing based on prompts from human users. It was developed by OpenAI, and became popular after several social media posts showed potential uses for the tool in clinical practice, often with mixed results.

According to Victor Tseng, MD, of Ansible Health in Mountain View, California, and colleagues, the results showed “new and surprising evidence” that this AI tool was up to the challenge. Tseng and team noted that ChatGPT was able to perform at >50% accuracy across all of the exams, and even achieved 60% in most of their analyses. While the USMLE passing threshold does vary between years, the authors said that passing is approximately 60% most years.

Source: Michael DePeau-Wilson, Medpage Today [1/19/23]

RELATED: https://medicalexecutivepost.com/2013/06/21/will-future-doctors-need-a-medical-license/

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ChatGPT: A Microsoft Start-Up Venture!

Posted on January 17, 2023 by Dr. Marcinko

By Staff Reporters

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Microsoft is reportedly preparing for its largest startup investment in history: a $10 billion stake in OpenAI that could value the research lab at $29 billion. OpenAI is the creator of potentially groundbreaking AI tools like ChatGPT, the multitalented chatbot that can code in Python and help high schoolers cheat on English essays.

MSFT has already invested $1 billion in OpenAI, but thinks an even tighter relationship would help it better compete with Big Tech rivals like Google (which reportedly declared a “code red” over ChatGPT’s threat to its search dominance).

But Microsoft’s AI ambitions go beyond just integrating ChatGPT know-how into its own search engine, Bing. The company wants to use OpenAI’s tools in its Office suite—and it’s already experimenting with algorithms to help users craft emails in Outlook.

OpenAI was founded in 2015 as a mission-based AI research organization by a roster from Silicon Valley’s A-list, including Elon Musk. Its stated goal is to develop safe AI for the benefit of humanity. But OpenAI has plenty of critics who have called it out for ethical concerns, a lack of transparency, and abandoning its mission for profits.

According to MorningBrew, a slew of buzzy AI product releases in 2022 has startup investors forgetting they ever heard the word “metaverse.” Languishing in the prolonged crypto winter and facing an uncertain economic environment, many venture capitalists see the field as the next big thing to shovel money into their coffers.

MORE :https://www.kevinmd.com/2023/01/revolutionizing-medicine-how-chatgpt-is-changing-the-way-we-think-about-health-care.html

RELATED: https://medicalexecutivepost.com/2023/01/18/about-turn-it-in/

UPDATE: Bill Gates just hinted that he may be working on Open AI’s large language chatbot ChatGPT in collaboration with Microsoft if the reported $10 billion investment in the start-up goes through. Gates also admitted that he’s still involved with the company’s research and product plans, and said he’s watching the developments in ChatGPT “very closely.”

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PODCAST: Healthcare Machine Learning Can Self Create / Improve Algorithms?

Posted on October 18, 2022 by Dr. Marcinko

Machine Learning is a Subset of Artificial Intelligence (AI) Where Computer Software Can Create and Improve on Algorithms on Its Own.

Machine Learning for Population Health

PODCAST: 'Hacking of the American Mind' | The Leading ...

By Eric Bricker MD

Healthcare Machine Learning Company ClosedLoop.ai is One of the Best at Applying Machine Learning to Population Health Data.

ClosedLoop.ai is So Good, They Won the CMS AI Challenge … Beating Out 300 Other Organizations Including IBM, the Mayo Clinic and Deloitte.

The Promise of Machine Learning in Population Health is to Better Predict Which People Will Benefit From an Intervention Because They Are at Greater Risk of a Complication of a Disease or an ER Visit or a Hospitalization.

ClosedLoop.ai Beautifully Applied Their Machine Learning Abilities to Create a Pandemic Risk Model That Helped a New York City Health Insurance Plan Identify Which Members Would Be Most Likely to Have Severe Complications of COVID-19.

As a Result, the Insurance Company Helped These Individuals Have Groceries and Prescription Medication Delivered to Them So They Could Stay at Home and Avoid Exposure to COVID.

There You Have It!  A Practical, Real-World Example of Machine Learning in Population Health That Literally Saved Some People’s Lives.

Disclaimer: Dr. Bricker is the Chief Medical Officer of Virtual Care Company First Stop Health.

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PODCAST: Machine Learning For Population Health

Posted on September 10, 2022 by Dr. Marcinko

BY ERIC BRICKER MD

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POPULATION HEALTH: https://medicalexecutivepost.com/2016/06/28/what-is-population-health/

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FOREWORD: https://healthcarefinancials.files.wordpress.com/2007/10/foreword-mata.pdf

BUSINESS MEDICINE: https://www.amazon.com/Business-Medical-Practice-Transformational-Doctors/dp/0826105750/ref=sr_1_9?ie=UTF8&qid=1448163039&sr=8-9&keywords=david+marcinko

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UPDATE: Sentient GOOGLE, Corporate Earnings, the Markets and Cryptocurrency

Posted on June 13, 2022 by Dr. Marcinko

By Staff Reporters

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Blake Lemoine, an engineer for Google’s responsible AI organization, described an AI system that he has been working on since last fall as sentient, with a perception of, and ability to express thoughts and feelings that was equivalent to a human child. He was promptly suspended.

Earnings Are Under Threat. Companies from Target to Microsoft have warned their results will be lower than expected, while analysts have trimmed earnings forecasts across industries. Investors will get further clarity next month when companies begin reporting results for the second quarter.

The S&P is in a historic slump having fallen in nine out of the past 10 weeks for just the third time since 1980. And cryptocurrencies, which trade 24/7, tumbled following another red-hot inflation report.


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Healthcare A.I. and Financial Outcomes Survey

Posted on May 3, 2022 by Dr. Marcinko

By Staff Reporters

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17% of Healthcare Execs Said AI Would Affect Financial Outcomes

 •  60% of respondents expect AI to impact clinical outcomes.
 •  17% said AI would affect financial outcomes.
 •  13% said AI would impact their operation outcomes.
 •  9% said AI would impact administrative outcomes.
 •  61% of executives hope to bring about a complete digital transformation in their organizations within three to five years.

Source: Morning Consult via HealthIT Analytics, April 14, 2022

CITE: https://www.r2library.com/Resource/Title/082610254

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PODCAST: Artificial Intelligence in Health Care Today

Posted on June 1, 2021 by Dr. Marcinko

Transforming Health care ETHICALLY

By Stanford Online

[Drs. Serena Yeung and Matthew Lungreen]

Artificial intelligence has the potential to transform healthcare, driving innovations, efficiencies, and improvements in patient care.

WHITE-PAPER LINK: https://www.healthit.gov/sites/default/files/jsr-17-task-002_aiforhealthandhealthcare12122017.pdf

But, this powerful technology also comes with a unique set of ethical and safety challenges.

LINK: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

So, how can AI be integrated into healthcare in a way that maximizes its potential while also protecting patient safety and privacy? 

In this session faculty from the Stanford AI in Healthcare specialization discuss the challenges and opportunities involved in bringing AI into the clinic, safely and ethically, as well as its impact on the doctor-patient relationship.

They also outline a framework for analyzing the utility of machine learning models in healthcare and will describe how the US healthcare system impacts strategies for acquiring data to power machine learning algorithms.

ASSESSMENT: Your thoughts are appreciated.

THANK YOU

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Could ARTIFICIAL INTELLIGENCE Help Make Health Care More Fair?

Posted on May 4, 2021 by Dr. Marcinko

Helping us believe what patients say

A new study shows how training deep-learning models on patient outcomes could help reveal gaps in existing medical knowledge.

By Karen Hao

In the last few years, research has shown that deep learning can match expert-level performance in medical imaging tasks like early cancer detection and eye disease diagnosis. But there’s also cause for caution.

Other research has shown that deep learning has a tendency to perpetuate discrimination. With a health-care system already riddled with disparities, sloppy applications of deep learning could make that worse.

LINK: https://www.technologyreview.com/2021/01/22/1016577/ai-fairer-healthcare-patient-outcomes/?truid=349b552221c994e2540a304649746d7c&utm_source=weekend_reads&utm_medium=email&utm_campaign=weekend_reads.unpaid.engagement&utm_term=emtech-next-2021&utm_content=05.01.all&mc_cid=3ae91e4c2b&mc_eid=72aee829ad

LIABILITY: And, what about malpractice liability?

LINK: https://qz.com/1905712/when-ai-in-healthcare-goes-wrong-who-is-responsible-2/

Your thoughts are appreciated.

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Update on ARTIFICIAL INTELLIGENCE [A.I.]

Posted on September 20, 2020 by Dr. Marcinko

Future Fate: YES -or- NO?

[By staff reporters]

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The “Chinee Room” Argument of A.I.

Posted on February 16, 2020 by Dr. Marcinko

On John Searle and his Paper

By Dr David E. Marcinko MBA

The Chinese room argument holds that a digital computer executing a program cannot be shown to have a “mind”, “understanding” or “consciousness”, regardless of how intelligently or human-like the program may make the computer behave.

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The argument was first presented by philosopher John Searle in his paper, “Minds, Brains, and Programs“, published in Behavioral and Brain Sciences in 1980. It has been widely discussed in the years since. The centerpiece of the argument is a thought experiment known as the Chinese room.
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A.I. Adoption and Perceptions in Healthcare

Posted on November 15, 2019 by Dr. Marcinko

By http://www.MCOL.com

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Assessment: Your thoughts are appreciated.

BUSINESS, FINANCE, INVESTING & INSURANCE TEXTS FOR DOCTORS:

1 – https://lnkd.in/ebWtzGg

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3 – https://lnkd.in/ewJPTJs

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Healthcare Executive Attitudes Toward Artificial Intelligence

Posted on November 26, 2017 by Dr. Marcinko

Opportunities and Obstacles

By http://www.MCOL.com

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Conclusion

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Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements.

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It’s time to put humans at the center of A.I.

Posted on October 12, 2017 by Dr. Marcinko

More on Artificial Intelligence
By MIT Technology Rerview

“To make more helpful and useful machines, we’ve got to bring back the contextual understanding,” says Fei-Fei Li, chief scientist of Google Cloud, in an interview with MIT Technology Review.

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Read why she wants to inject some humanity into AI

https://www.technologyreview.com/s/609060/put-humans-at-the-center-of-ai/?utm_source=MIT+Technology+Review&utm_campaign=f21f8e4086-The_Download&utm_medium=email&utm_term=0_997ed6f472-f21f8e4086-154253973

Conclusion

Your thoughts and comments on this ME-P are appreciated. Feel free to review our top-left column, and top-right sidebar materials, links, urls and related websites, too. Then, subscribe to the ME-P. It is fast, free and secure.

Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements.

Contact: MarcinkoAdvisors@msn.com

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Q&A with Futurist Martine Rothblatt

Posted on February 27, 2017 by Dr. Marcinko

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[By MIT Technology Review]

Whether machines and artificial intelligence will ever become conscious is an eternally debated topic, but Martine Rothblatt thinks it shouldn’t be.

We talked with Rothblatt about why she thinks denying that machines will become conscious is similar to denying evolution, and why society must prepare to grant rights to the virtual beings of the future.

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brain+function

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Q&A with Futurist Martine Rothblatt

Conclusion

Your thoughts and comments on this ME-P are appreciated. Feel free to review our top-left column, and top-right sidebar materials, links, URLs and related websites, too. Then, subscribe to the ME-P. It is fast, free and secure.

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The Future of Health Insurance?

Posted on June 24, 2016 by Dr. Marcinko

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Preparing for Dr. Big Brother

Bert Mesko

[By Bert Mesko MD PhD]

While futuristic technologies are becoming available in healthcare, patients often can’t access them and the cost of providing care continues to skyrocket.

However, innovations such as artificial intelligence (AI) and health sensors are set to reshape how healthcare insurance works and by doing so bring much needed reforms to healthcare as a whole.

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Insurance

http://medicalfuturist.com/2016/04/13/the-future-of-health-insurance-preparing-for-dr-big-brother/

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Conclusion

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