Sally Kornbluth speaks at a podium to an audience of onlookers with Anne Klibanski seated beside her.
Portrait of Hammaad Adam

Growing our donated organ supply

For those in need of one, an organ transplant is a matter of life and death.

Every year, the medical procedure gives thousands of people with advanced or end-stage diseases extended life. This “second chance” is heavily dependent on the availability, compatibility, and proximity of a precious resource that can’t be simply bought, grown, or manufactured — at least not yet.

Instead, organs must be given — cut from one body and implanted into another. And because living organ donation is only viable in certain cases, many organs are only available for donation after the donor’s death.

Unsurprisingly, the logistical and ethical complexity of distributing a limited number of transplant organs to a growing wait list of patients has received much attention. There’s an important part of the process that has received less focus, however, and which may hold significant untapped potential: organ procurement itself. Learn more
Still of Regina Barzilay from AI Revolution

A.I. Revolution

Can we harness the power of artificial intelligence to solve the world’s most challenging problems without creating an uncontrollable force that ultimately destroys us? ChatGPT and other new A.I. tools can now answer complex questions, write essays, and generate realistic-looking images in a matter of seconds. They can even pass a lawyer’s bar exam. Should we celebrate? Or worry? Or both? Correspondent Miles O’Brien investigates how researchers are trying to transform the world using A.I., hunting for big solutions in fields from medicine to climate change. (Premiering March 27 at 9 pm on PBS) Learn more
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Hartford HealthCare launches new center to use artificial intelligence in hospitals

HARTFORD — Hartford HealthCare is launching a new center dedicated to using artificial intelligence in healthcare, which officials said is the first in New England and one of a few in the United States.

The goal of using AI in a hospital system is to create more equitable and affordable healthcare, Jeffrey Flaks, president and chief executive officer of Hartford HealthCare, said at a press conference announcing the launch this week.

"Artificial intelligence is ubiquitous in healthcare," Flaks said. "It has the potential to impact all aspects of our operations, but our focus is to make healthcare more accessible, more affordable, to make it more equitable and to make it better."

Some of the research initiatives using AI include predicting COVID-19 spikes, how long someone might stay at the hospital, how a patient's condition might worsen, if a secondary stroke might happen and the outcomes of different surgeries. It can also be used in scheduling to make the hospital more efficient, officials said.

The Center for AI Innovation in Healthcare comes from a nearly decade-long, ongoing international collaboration between Hartford HealthCare, the Massachusetts Institute of Technology and the University of Oxford.

"To advance ourselves from being one of the earliest early adapters, to now being a co-developer, inventor and creator, and to be a pioneer in artificial intelligence, gives us the opportunity to truly impact how we deliver healthcare," Flaks said.

Through the collaborations, Hartford HealthCare Innovation developed Holistic Hospital Optimization, nicknamed H2O, which uses AI to help make hospital operations more efficient, including scheduling staff and operating rooms, as well as predicting how long a patient will stay, officials said.

The AI system follows a Holistic AI in Medicine framework, Dimitris Bertsimas, associate dean of analytics at MIT-Sloan, said at the press conference. It analyzes data hospitals collect, such as tabular data and images, which can then be applied "in a real-world environment in high-quality healthcare."

Flaks said that by minimizing administrative tasks, the medical staff can feel supported and have their attention be on patients. Learn more
Portrait of Regina Barzialy

NOVA ‘A.I. REVOLUTION’ Dives Into the Past, Present, and Future of One of the Most Consequential Technological Advancements of Our Time

BOSTON, MA; Feb.12, 2024 — The award-winning PBS science series, NOVA, a production of GBH, will premiere the one-hour film “A.I. REVOLUTION” Wednesday, March 27 at 9 p.m. ET/8 p.m. CT on PBS. Can we harness the power of artificial intelligence to solve some of the world’s most challenging problems without creating an uncontrollable force that ultimately destroys us? New A.I. tools like ChatGPT can now answer complex questions, write essays, and generate realistic-looking images in a matter of seconds. In “A.I. REVOLUTION,” which will also be available for streaming at pbs.org/nova, NOVA on YouTube, and the PBS App, correspondent Miles O’Brien meets some of the scientists who are at the forefront of A.I. advancement and explores the promise, perils, and possible future of this unprecedented technology taking the world by storm.

Beyond drug discovery and prosthetics, the film explores several other ways that A.I. is transforming science. Computer scientist Regina Barzilay at Massachusetts General Hospital has trained a neural network to detect breast cancer from mammograms years before they are detectable by human eyes with over 85% accuracy. A.I. is also being used to help detect lung cancer. Lives are even being saved from natural disasters, as A.I. is now being deployed in California to detect wildfires early before they rage out of control. Learn more
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AI Developers Should Understand the Risks of Deploying Their Clinical Tools, MIT Expert Says

AI applications for health care should be designed to function well in different settings and across different populations, says Marzyeh Ghassemi, PhD (Video), whose work at the Massachusetts Institute of Technology (MIT) focuses on creating “healthy” machine learning (ML) models that are “robust, private, and fair.” The way AI-generated clinical advice is presented to physicians is also important for reducing harms, according to Ghassemi, who is an assistant professor at MIT’s Department of Electrical Engineering and Computer Science and Institute for Medical Engineering and Science. And, she says, developers should be aware that they have a responsibility to clinicians and patients who could one day be affected by their tools. Learn more
Plane taking off from a handheld tablet surrounded by white geometric lines and floating blue pixels.

Stratospheric safety standards: How aviation could steer regulation of AI in health

What is the likelihood of dying in a plane crash? According to a 2022 report released by the International Air Transport Association, the industry fatality risk is 0.11. In other words, on average, a person would need to take a flight every day for 25,214 years to have a 100 percent chance of experiencing a fatal accident. Long touted as one of the safest modes of transportation, the highly regulated aviation industry has MIT scientists thinking that it may hold the key to regulating artificial intelligence in health care.

Marzyeh Ghassemi, an assistant professor at the MIT Department of Electrical Engineering and Computer Science (EECS) and Institute of Medical Engineering Sciences, and Julie Shah, an H.N. Slater Professor of Aeronautics and Astronautics at MIT, share an interest in the challenges of transparency in AI models. After chatting in early 2023, they realized that aviation could serve as a model to ensure that marginalized patients are not harmed by biased AI models. Learn more
AI-generated vintage illustration showing a team of male and female scientists surrounding a complex metal machine covered in glass

How important is explainability? Applying clinical trial principles to AI safety testing

The use of AI in consumer-facing businesses is on the rise — as is the concern for how best to govern the technology over the long-term. Pressure to better govern AI is only growing with the Biden administration’s recent executive order that mandated new measurement protocols for the development and use of advanced AI systems. Learn more
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