AI Agents, AI Tools, Artificial Intelligence, Banking, Blockchains, content creation, cryptography, Healtlh, Uncategorized, Yoga, Yogi Nelson

🧘‍♀️ Empowering Yoga Instructors with NFTs: A Digital Credentialing Revolution

Welcome to the BlochchainAIForum

by Yogi Nelson

  • Easily forged or manipulated
  • Hard to verify for employers or students
  • Inconvenient to update or reissue
  • Centralized and often siloed within specific organizations
  • Tamper-proof: Once issued, the certificate cannot be altered or forged
  • Easily verifiable: Anyone with access to the blockchain can confirm authenticity
  • Portable: Instructors can share their credentials across platforms, applications, or countries
  • Programmable: Metadata can include training hours, school affiliation, specialization, and date of issue
  • Only recognized schools can issue tokens
  • Each NFT links directly to a verified course and instructor ID
  • Schools retain control over their credentialing integrity
  • The Yoga Alliance can monitor and audit issuance patterns

✅ Easier Job Applications. Studios or wellness platforms can instantly verify an applicant’s credentials by scanning a wallet address or QR code linked to the NFT.

  • Faster, more reliable hiring processes
  • Increased trust in instructor qualifications
  • Protection against fraudulent claims
  • Simplified compliance with insurance or legal requirements
  • Schools pay a nominal fee to mint each NFT
  • Instructors pay to renew or update their credentials
  • Third-party platforms pay for API access to verify NFT credentials
  • Public blockchain (e.g., Ethereum or Polygon) for issuance and verification
  • Decentralized storage (e.g., IPFS) for metadata like course materials or images
  • User-friendly interface for non-technical instructors to access their credentials
  1. Pilot Program: Select Yoga Alliance UK-accredited schools to test NFT issuance
  2. Instructor Outreach: Educate teachers on how to claim and use their NFTs
  3. Studio Integration: Build simple verification tools for employers
  4. Platform Partnerships: Partner with teaching marketplaces and retreat platforms
  5. Policy Support: Engage with insurers and government bodies for recognition

Until next time,

Yogi Nelson

Artificial Intelligence, Blockchains, cryptography, Decentralized, Patents, Science, Uncategorized, Yogi Nelson

Access to technology is a human right, not a copyright

  • Energy
  • Food Technology (air, water, soil)
  • Pollution (focus on clean-up)
  • Quantum Research
  • Top 30 Most Active Benefactor Wallets: 2x
  • Scientists who have contributed research: 1.5x
  • Scientists who have been game show finalists: 2x
  • Scientists who have won the game show: 3x
  • New scientists this season: 1.4x
  • New community members this season: 1.2x
  • Scientists with more than 1 year of participation: 1.1x
  • Community members with longevity: 1.0x
  • Admin votes: 1.0x
  • Wallets with transactions from to banned/suspended/muted users: 0.5x for the amount sent to them.
  • The first phase of a season qualifies proposals from scientists or requests from the community.
  • The second phase of a season announces approved proposals from Phase 1. Preliminary funding is requested by the scientist and given approval or adjustment by the judges handling this season. This funding is intended to give a scientist support for a Proof-of-Concept or Minimum Viable Product.
  • The third phase votes on which scientists will be funded to finish solving the problem. Not every team will be ready at the same time, and may delay their participation into future seasons whenever they are ready, without further qualification.
  • General Community
  • Scientists
  • Donors
  • Admins

General Community users can earn platform tokens for:

  • Watching videos
  • Liking videos
  • Commenting
  • Hitting milestones in discussion forums and on-site time
  • Consistent voting during live shows

Scientists can earn platform tokens for:

  • Uploading videos
  • Uploading documentation
  • Participating in peer review discussions
  • Being selected to participate in the game show (as contender or judge)
  • Advancing to the 2nd or 3rd round in the game show
  • Successfully voting out scams/fake content
  • General Community actions

Benefactors can earn platform tokens for:

  • Making contributions to donation pools
  • General Community actions

Admins can earn platform tokens for:

  • Removing spam/fake content
  • Being voted in as a game show judge
  • More General Community actions to be determined at a later date
  • ​Recerca​ – fundraising tool for research. They do many things very well, including winning 2nd prize at the Hedera X Filecoin Grant Program. The shortcomings Recera suffers is insufficient decentralization by design. Moreover, the Recera project does not feature tax incentives and they failed to solve the headaches of needlessly lengthy, dull and monotonous funding applications. Council still acts as gatekeepers to donation.
  • ​Experiment.com​ – fundraising tool for research. Donors can browse research proposals and causes, and donate in accordance with their concerns. This project resembles a kickstarter marketplace design. The project does not adequately solve centralization issues, nor application issues, nor is it built on web3 technology that can operate independently. Furthermore, there are no associated tax incentives.
  • ​Molecule​ – Similar to Experiment.com, but focused only on BioMed research. Raised a $13M seed.

Artificial Intelligence, Blockchains, computer vision, Healtlh, Optometry, Yogi Nelson

Artificial Intelligence in Optometry: Enhancing Eye Care Precision

Uncategorized

THE USE OF ARTIFICIAL INTELLIGENCE IN HEALTH CARE:  A LITERATURE REVIEW

Welcome to the Blockchain & AI Forum, where your technology questions are answered! Today’s question, from Doctor Cristina Lazaro, concerns the use of artificial intelligence in health care.

Doctor Lazaro, you came to the right place.  There has been an explosion in research related to AI in health care. I answer your question based on an article titled, Artificial Intelligence in Healthcare Institutions: A Systematic Literature Review on Influencing Factors by Roppelt, Kanbach, and Kraus, 2024 , Science Direct.  https://www.sciencedirect.com/science/article/pii/S0160791X23002488

The Health Care Status Quo–Serious Challenges Ahead with Ai as a Solution. According to researchers, the global health system is facing serious challenges.  Researchers cite the growing number of patients due to population growth, increased prevalence of chronic diseases, increasing healthcare costs, and staff shortages.   The good news is AI has the potential to solve some of the challenges ahead, claim the authors.  The researchers say, “… AI is a technology that, through rules-based logic, can help to significantly speed up the process of analyzing vast amounts of data and leverage patterns by mimicking human intelligence.  AI may result in fast and often better-advised decisions. Thus, as it pertains to the healthcare industry, AI has the potential to overcome staff shortages in developing and developed countries, enhance organizational efficiency, and maximize diagnostic accuracy as well as patient outcomes by providing at least comparable quality results compared to human based assessments. Consequently, Al may reduce costs due to avoidance of inefficiencies, unnecessary treatments, and late diagnoses.

Literature Review. Researchers discovered approximately 1,100 published articles on the topic since 2023.  However, after analyzing the literature in greater detailed soon learned about 130 were truly on point.  The authors also found that most studies were published in journals related to information technology, not medicine, or journals dedicated to the nexus of AI and medicine.  AI seems to be most widely adopted in cardiology and radiology and rather at an early stage in dermatology and psychiatry.  Interesting that there are not many studies of AI in medicine within business management journals.

FACTORS THAT INFLUENCE AI ADOPTION IN HEALTHCARE:  THE FINDINGS

Macro-economic readiness. Researchers at Science Direct found that macro-economic readiness is mainly driven by governments.  For example, researchers conclude adequate IT infrastructure, e.g., access to smart devices for the population and energy adequacy, especially for remote areas and certain populations drive adoption.  “AI communities”, is also a critical.  Essentially, when there are established partnerships, collaborations, etc. the network effects kicks in and the impact is exponential. 

Technological readiness.  Researchers concluded that technological readiness depends on three factors: 

  • The importance of overcoming algorithmic challenges, e.g. lack of data, and/or inferior quality, etc.
  • Provide a compelling, multi-faceted value proposition.  In other words, clearly added value in the form of efficiency, user-friendliness, adherence to data-privacy regulations, interoperability, and the ability to tailor the application to individual needs.

Regulatory readiness.  The authors suggest close collaborations with regulators.  The author points to three key issues:  political support, clarification of legal questions, and establishment of regulations. As a former government regulator, this is sage advice but not easy to execute because contrary to popular belief, the “government” is not a unified organism.

Organizational readiness.  A failure to plan is a plan to failure, say researchers, hence they strongly recommend preparing the organization before implementing an AI health care system.  Researchers recommend four steps:  prepare an organizational strategy, develop a supportive organizational culture, clear tasks and assignments, and an adequate IT setup.

User readiness. Recognizing that organizations consists of people, researchers says place users are at the center.  Furthermore, researchers conclude four facts are the key to user readiness:

  • Awareness:  in other words, do users know the technology exist?
  • Beliefs:  do users believe the technology will work? 
  • Personal innovativeness:  are users willing to try something new?
  • The financial situation of the individual.

Doctor Lazaro, now you know what the literature says. I end with a proverb from Spain: ”donde hay hambre, no hay pan duro.”

Until Next Time,

Yogi Nelson

Artificial Intelligence, behub, Blockchains, Uncategorized, Yogi Nelson

beHub: Revolutionizing Healthcare with Cardano Blockchain