18 years helping non-profits, doctors, healthcare companies and patients…

Dedicated to improve people’s overall health

We leverage 2 decades of learning and work with medical professionals to turn and help others. What is that? 16 years of board member service for 2 large non-profits, speaking at events, advising companies and investors (under NDA) combining my healthcare and business experience.

NEWS: Taylor Neff hosts a large national epilepsy webinar and live auction with many speakers and attendees. Learn more!

Patients and doctors working together get better results. Think about it. Medical experts have little time to learn your full situation as a patient. Partner with them and provide a wealth of information on your medical and life situation.

This partnership empowers you both to improve results over time. We counsel patients on how to do this well.

How We Help Others … Outlined Below

We leverage 2 decades of experience as we want to pass our knowledge and learning on to others and help them succeed. This applies to different groups, but the outcome is the same. We want better results for you. Ask us for examples of each of what’s below.

  • Help medical companies

    Help Medical Companies

    Advised or consulted for 6 medical companies and 2 medical angels or VC’s. Leverage years of specific healthcare and business experience. Am under 1 NDA now.

  • Medical Boards of Directors

    Medical Boards of Directors

    Served on 2 large non-profits’ boards. 6 years on the national board for the Epilepsy Foundation, 10 years on the board for EF’s Northern California chapter.

  • Lecture and Speak to Students

    Lecture and Speak to Students

    Speak to, interact with and answer questions of students. From medical graduate schools at universities to high schools. Share insights that help them see the full picture.

  • Advise and teach patients

    Advise and Teach Patients

    Help patients learn more about their medical condition (often epilepsy), treatment options and how to better work with doctors. That collaboration gets better results.

Artificial Intelligence (AI) is rapidly transforming healthcare, revolutionizing the way doctors diagnose and treat patients, and improving the overall quality of care. AI is a branch of computer science that uses algorithms and statistical models to mimic human intelligence, allowing machines to learn from data, recognize patterns, and make decisions.

In healthcare, AI is being used to improve diagnosis, personalize treatment, predict outcomes, and reduce costs. Here are some of the ways AI is being used in healthcare:

1.     Medical imaging: AI is being used to improve the accuracy of medical imaging, such as X-rays, CT scans, and MRIs. AI algorithms can analyze these images and detect abnormalities that may be missed by human radiologists, leading to earlier diagnosis and better outcomes.

2.     Personalized medicine: AI is being used to analyze patient data, such as genetic information, medical history, and lifestyle factors, to develop personalized treatment plans. This can lead to more effective treatments and better patient outcomes.

3.     Predictive analytics: AI is being used to analyze large amounts of patient data to predict health outcomes, such as the likelihood of developing a particular disease or the risk of complications during surgery. This can help doctors make more informed decisions about treatment and prevention.

4.     Virtual assistants: AI-powered virtual assistants, such as chatbots, are being used to improve patient engagement and provide personalized support. These assistants can answer questions, provide health advice, and remind patients to take their medication.

5.     Administrative tasks: AI is being used to automate administrative tasks, such as scheduling appointments and managing patient records. This can free up doctors and nurses to focus on patient care.

Despite the many benefits of AI in healthcare, there are also some concerns. One of the biggest concerns is the potential for AI to perpetuate bias in healthcare. For example, if the data used to train an AI algorithm is biased, the algorithm may produce biased results. Another concern is the potential for AI to replace human doctors and nurses, leading to job loss and a lack of human interaction in healthcare.

In conclusion, AI is transforming healthcare in many ways, from improving diagnosis and treatment to reducing costs and improving patient outcomes. While there are concerns about the potential for bias and job loss, the benefits of AI in healthcare are clear, and we can expect to see continued growth and development in this field in the coming years.