DATA EMPATHY AND AI

 

DATA EMPATHY AND AI 

Data Empathy and AI (Part 1).The Need for a Patient Centric Analytics Ecosystem

Data Empathy and AI (Part 2).Legal Theory Disruption and Ethics

A two part article written by Kevin Michael Mooney, Esq.,Senior Director, Enterprise Data Governance,Cleveland Clinic.

It presents an excellent and comprehensive view point  on data management, artificial Intelligence applications and it's associated ethical and legal challenges.

Clarifying and detailing some of the ethical and legal principles, it's a must read to understand this  context of data management and AI in healthcare beyond building and implementing algorithms.

2018 Year in Review:Machine Learning in Healthcare

A BrainX Community exclusive!

A comprehensive review of 2200+ articles published in 2018 on machine learning applications in healthcare.

After exclusions,1068 articles classified into various medical specialities and a synopsis is available through the link below.

2018 Year in Review: Machine Learning in Healthcare.

A copy of the BRAINX COMMUNITY LIVE event, January 2019 presentation is also available via link below.

BrainX Community Live January 2019 event

Augmented Intelligence:Moving beyond man vs machine

CONNECTING MACHINE LEARNING WITH HEALTHCARE COMMUNITY

Artificial Intelligence described as new electricity by Prof.Andrew Ng, is certainly leading to construction of new “powerhouses”.I recently had the opportunity to participate at two such powerhouse conferences, both focused on applications of Artificial Intelligence(AI)/Machine Learning(ML) in Healthcare.

 

ai+MD 2018(http://(http://ai-med.io/aimd-summit-choc-childrens/)

ai+MD, organized by Dr.Anthony Chang’s AI Med group was a physician focused conference which discussed various aspects of AI applications in clinical settings, its pitfalls, current state and future possibilities.I was honored to be part of the inaugural panel and delivered my presentation titled, “Truth vs Hype:AI in Healthcare”,focused on understanding the current scientific evidence and pitfalls of hype in this field.At the end of the conference, there was a consensus that man+machine is exponentially better than man vs machine, man being clinician and machine being AI/ML.

ML for Healthcare, 2018(https://www.mlforhc.org)

At the Stanford,ML for Healthcare conference, hosted by Ken Jung and Nigam Shah the focus was mostly ML aspects of healthcare applications.Professors Abraham Verghese, Russell Greiner and Andrew Ng  amongst many others presented the clinical needs, vision and a word of caution for ML in healthcare research and innovation.Being an anesthesiologist,I was  also thrilled to see the engagement and leadership from anesthesiologists such as Drs. James Fackler, Randall Wetzel and Micheal Burns at the conference.

Lots of passion and energy from the students and academics from around the world was at display.It was humbling to obeserve that despite all the fiscal advantages of engaging in various other industries, many of the participants found their passion in healthcare for good of humanity and the intrigue of messy healthcare data.

Learning, connecting and sharing data was my motivation to attend these conferences bringing AI/ML and healthcare experts together.Sharing and building together is the future for us at BrainX Community.

Piyush Mathur MD,FCCM

BrainX Community:The largest machine learning in healthcare community online.

BrainX Community is the largest and the fastest growing online group for application of machine learning in healthcare.Our focus is on sharing and growing knowledge in this area and to foster innovation and research.

A 200+ people strong group that has come together in less than 2 months, we are growing very rapidly.Members include physicians, clinicians,executives,machine learning experts, students amongst others who make this group multidisciplinary.All the continents are represented with members from all over the world having joined.

We have Cleveland based live interactive monthly sessions featuring experts from various areas presenting their work and their love for the science.https://www.brainxai.org/

We only promote real science,avoiding the hype in AI.Open source de-identified data sharing is important and supported for development of science.Also learn about various aspects of data in healthcare through the DATA section of BrainX Community.https://www.brainxai.org/data/

New and meaningful publications are posted in the LEARN section of BrainX Community webpage on a routine basis.https://www.brainxai.org/learn/

Everyone’s participation is valuable.Let’s share the knowledge,spread the word and help shape the future of healthcare and machine learning  for good.

Is blockchain the answer to fragmented, inaccessible,expensive healthcare data?

With the new and evolving regulatory requirements, governance structure as suggested by the Stuart McLennan,David Shaw and Leo Celi, in the article below is absolutely needed not just for critical care but for all of healthcare.

McLennan, S., Shaw, D. & Celi, L.A. Intensive Care Med (2018).

https://doi.org/10.1007/s00134-018-5257-y

Data cannot remain fragmented and inaccessible increasing cost,accountability and stalling much needed transformation.

Can blockchain help?
Some of the initial work done at MIT shed some light on possibilities.

https://static1.squarespace.com/static/59aae5e9a803bb10bedeb03e/t/5a6fd2f7e2c48387dff12676/1517278000381/blockchain-medical-records-patient-data-medrec-eckblaw.pdf

 

 

 

BRAINX COMMMUNITY LIVE! July event.

 

 

BrainX Community Live

 

THE DERMATOLOGY & PLASTIC SURGERY INSTITUTE 

PRESENTS

INVITED SPEAKER

DR. ART PAPIER

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CEO of VisualDx

Associate Professor of Dermatology & Medical Informatics

University of Rochester College of Medicine

TUESDAY, JULY 10, 2018 

BUNTS AUDITORIUM CLEVELAND CLINIC

6:00PM

Machine Learning, Diagnosis and

Augmented Point of Care Decisions

Dr. Papier is the co-founder of VisualDx and Chief Executive Officer. A thought leader in clinical informatics, Dr. Papier maintains the overall vision for the VisualDx product with a keen focus on software integration and impacting costs in healthcare through clinical accuracy. His entrepreneurial drive, years of clinical experience, and passion for delivering true healthcare solutions have propelled VisualDx clinical decision support to the top in quality and innovation.

A dermatologist and medical informatics expert, Dr. Papier has a particular interest in designing clinical decision support systems based on visually rich knowledge areas to reduce diagnostic error at the point of care. In line with this goal, he is focused on transforming medical education to include training in cognitive error and the use of information technology. Dr. Papier also focuses on consumer health, developing tools to educate and empower patients.

IF YOU HAVE ANY QUESTIONS OR NEED ADDITIONAL INFORMATION PLEASE CONTACT DR. PAPAY’S OFFICE AT 216-444-6906