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How Artificial Intelligence is Revolutionising Healthcare

On Tuesday, May 28th, BCLA hosted its annual healthcare focused event, a panel discussion at UCLA’s Anderson school of management.

Following that, Evgeny introduced the keynote speaker, Mania Samiotaki, product manager for AI at GE Healthcare.  Mania, happy with the fantastic turnout, started her keynote with an in-depth overview of the meaning of AI and the foundations of the technology, dating back to the 1950’s!

‘In Europe and North America, we are lucky, there is 1 radiologist for 10,000 patients, in Kenya, this number is 1 for 24,000 patients.’ Mania used this example to highlight the potential for diagnostic errors, estimated between 10-15% which can be drastically reduced or eliminated by using AI.

Amazingly, Mania then presented a study by Google to demonstrate that their AI pipelines were more successful at diagnosing cancer than doctors alone, although was quick to mention that AI is not there to replace people in the workplace, rather offer faster, more reliable solutions to workflows.

Starting with a brief introduction of each panelists background, Amit quickly dove into the meat of specifically who these companies were trying to help, which ranged from nurses, practitioners, patients and caretakers.

Sumeet then explained that AI should be as ‘least disruptive as possible to existing workflows’ and was quick to explain the importance of learning from field personnel, including nurses and patient caretakers.

Sumeet answered by assuring the audience that a large amount of data is actually collected on controlled devices that do not have access to, for example, social media applications, reducing the risk of security breaches.

The rest of the panel then discussed how important it was to build secure and trusted platforms for data, nicely tying back into earlier discussion points of how to ensure people embrace AI and trust it’s input into healthcare.

AMA Supports Artificial Intelligence in Medical Practice, Training

June 12, 2019 -The American Medical Association (AMA) has endorsed and adopted several new policies to support the integration of artificial intelligence in medical practice and training.

At the association’s annual meeting, delegates discussed policy recommendations focused on AI’s role in enhancing patient care, boosting population health, and reducing care costs, while improving physician satisfaction.

Additionally, AMA said it will support payment and coverage of AI systems that are informed by real-world workflow and human-centered design principles, as well as policies that increase affordability and access to AI systems designed for small practices.

“Developers of autonomous AI systems with clinical applications (screening, diagnosis, treatment) are in the best position to manage issues of liability arising directly from system failure or misdiagnosis and must accept this liability.”

The policies include encouraging the development of AI education modules, addressing disparities in AI education that could impact patient care, and ensuring physicians are involved in the development and implementation of educational materials on AI.

The association will encourage research around the effectiveness of AI instruction in medical education as well and is calling for stakeholders to provide educational materials to help learners guard against inadvertent bias in AI systems.

“Just as working effectively with electronic health records is now part of training for medical students and residents, educating physicians to work effectively with AI systems, or more narrowly, the AI algorithms that can inform clinical care decisions, will be critical to the future of AI in healthcare.”

Mount Sinai Launches New Center for Artificial Intelligence

June 11, 2019 -The Icahn School of Medicine at Mount Sinai has announced the launch of a new center that will advance clinical care with artificial intelligence, genomic screening, and data science.

“The new building will bring together a generation of scientists and physicians who are trained in big data and artificial intelligence—tools that can enable the development of precise genomic tests and increasingly sophisticated ways to integrate genomic information into routine patient care,”

We have the potential to transform the way care givers deliver cost-effective, high quality health care to their patients, far beyond providing simple diagnoses.

“In addition to AI, we envision advance capabilities in two important areas: computer vision and augmented reality, and next generation medical technology enabling development of new medical devices, sensors and robotics.”

The new facility will open with approximately 40 principal investigators, and 250 graduate students, postdoctoral fellows, computer scientists, and other support staff.

“Mount Sinai has proven itself a pioneer in data mining to improve patient diagnosis and treatment, and I am pleased to support its mission and accelerate the development of cutting-edge therapies and technologies that have the potential to change lives around the world.”

We are grateful to Mr. and Mrs. James for their generous gift, which will create a hub where our talented researchers can collaborate in unprecedented ways and bring forward ideas and innovative technologies that achieve better outcomes for our patients.”

“We are looking at a future where artificial intelligence has the capacity to completely disrupt healthcare and Mount Sinai is going to be at the forefront of that revolution, driving the conversation, engaging stakeholders worldwide in developing solutions, and making this bold future a reality,”

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