The Algorithm Will See You Now
There's a quiet revolution going on in medicine. It's driven by artificial intelligence, but paradoxically, new technology may put a more human face on healthcare.
AI's usefulness in healthcare ranges far and wide.
Artificial intelligence is software that can process massive amounts of information and learn over time, arriving at decisions with striking accuracy and efficiency. It offers greater accuracy in diagnosis, exponentially faster genome sequencing, the mining of medical literature and patient records at breathtaking speed, a dramatic reduction in administrative bureaucracy, personalized medicine, and even the democratization of healthcare.
The algorithms that bring these advantages won't replace doctors; rather, by offloading some of the most time-consuming tasks in healthcare, providers will be able to focus on personal interactions with patients—listening, empathizing, educating and generally putting the care back in healthcare. The relationship can focus on the alleviation of suffering, both the physical and emotional kind.
Challenges of Getting AI Up and Running
The AI revolution, still in its early phase in medicine, is already spurring some amazing advances, despite the fact that some experts say it has been overhyped. IBM's Watson Health program is a case in point. IBM capitalized on Watson's ability to process natural language by designing algorithms that devour data like medical articles and analyze images like MRIs and medical slides. The algorithms help diagnose diseases and recommend treatment strategies.
But Technology Review reported that a heavily hyped partnership with the MD Anderson Cancer Center in Houston fell apart in 2017 because of a lack of data in the proper format. The data existed, just not in a way that the voraciously data-hungry AI could use to train itself.
The hiccup certainly hasn't dampened the enthusiasm for medical AI among other tech giants, including Google and Apple, both of which have invested billions in their own healthcare projects. At this point, the main challenge is the need for algorithms to interpret a huge diversity of data mined from medical records. This can include everything from CT scans, MRIs, electrocardiograms, x-rays, and medical slides, to millions of pages of medical literature, physician's notes, and patient histories. It can even include data from implantables and wearables such as the Apple Watch and blood sugar monitors.
None of this information is in anything resembling a standard format across and even within hospitals, clinics, and diagnostic centers. Once the algorithms are trained, however, they can crunch massive amounts of data at blinding speed, with an accuracy that matches and sometimes even exceeds that of highly experienced doctors.
Genome sequencing, for example, took years to accomplish as recently as the early 2000s. The Human Genome Project, the first sequencing of the human genome, was an international effort that took 13 years to complete. In April of this year, Rady Children's Institute for Genomic Medicine in San Diego used an AI-powered genome sequencing algorithm to diagnose rare genetic diseases in infants in about 20 hours, according to ScienceDaily.
"Patient care will always begin and end with the doctor."
Dr. Stephen Kingsmore, the lead author of an article published in Science Translational Medicine, emphasized that even though the algorithm helped guide the treatment strategies of neonatal intensive care physicians, the doctor was still an indispensable link in the chain. "Some people call this artificial intelligence, we call it augmented intelligence," he says. "Patient care will always begin and end with the doctor."
One existing trend is helping to supply a great amount of valuable data to algorithms—the electronic health record. Initially blamed for exacerbating the already crushing workload of many physicians, the EHR is emerging as a boon for algorithms because it consolidates all of a patient's data in one record.
Examples of AI in Action Around the Globe
If you're a parent who has ever taken a child to the doctor with flulike symptoms, you know the anxiety of wondering if the symptoms signal something serious. Kang Zhang, M.D., Ph.D., the founding director of the Institute for Genomic Medicine at the University of California at San Diego, and colleagues developed an AI natural language processing model that used deep learning to analyze the EHRs of 1.3 million pediatric visits to a clinic in Guanzhou, China.
The AI identified common childhood diseases with about the same accuracy as human doctors, and it was even able to split the diagnoses into two categories—common conditions such as flu, and serious, life-threatening conditions like meningitis. Zhang has emphasized that the algorithm didn't replace the human doctor, but it did streamline the diagnostic process and could be used in a triage capacity when emergency room personnel need to prioritize the seriously ill over those suffering from common, less dangerous ailments.
AI's usefulness in healthcare ranges far and wide. In Uganda and several other African nations, AI is bringing modern diagnostics to remote villages that have no access to traditional technologies such as x-rays. The New York Times recently reported that there, doctors are using a pocket-sized, hand-held ultrasound machine that works in concert with a cell phone to image and diagnose everything from pneumonia (a common killer of children) to cancerous tumors.
The beauty of the highly portable, battery-powered device is that ultrasound images can be uploaded on computers so that physicians anywhere in the world can review them and weigh in with their advice. And the images are instantly incorporated into the patient's EHR.
Jonathan Rothberg, the founder of Butterfly Network, the Connecticut company that makes the device, told The New York Times that "Two thirds of the world's population gets no imaging at all. When you put something on a chip, the price goes down and you democratize it." The Butterfly ultrasound machine, which sells for $2,000, promises to be a game-changer in remote areas of Africa, South America, and Asia, as well as at the bedsides of patients in developed countries.
AI algorithms are rapidly emerging in healthcare across the U.S. and the world. China has become a major international player, set to surpass the U.S. this year in AI capital investment, the translation of AI research into marketable products, and even the number of often-cited research papers on AI. So far the U.S. is still the leader, but some experts describe the relationship between the U.S. and China as an AI cold war.
"The future of machine learning isn't sentient killer robots. It's longer human lives."
The U.S. Food and Drug Administration expanded its approval of medical algorithms from two in all of 2017 to about two per month throughout 2018. One of the first fields to be impacted is ophthalmology.
One algorithm, developed by the British AI company DeepMind (owned by Alphabet, the parent company of Google), instantly scans patients' retinas and is able to diagnose diabetic retinopathy without needing an ophthalmologist to interpret the scans. This means diabetics can get the test every year from their family physician without having to see a specialist. The Financial Times reported in March that the technology is now being used in clinics throughout Europe.
In Copenhagen, emergency service dispatchers are using a new voice-processing AI called Corti to analyze the conversations in emergency phone calls. The algorithm analyzes the verbal cues of callers, searches its huge database of medical information, and provides dispatchers with onscreen diagnostic information. Freddy Lippert, the CEO of EMS Copenhagen, notes that the algorithm has already saved lives by expediting accurate diagnoses in high-pressure situations where time is of the essence.
Researchers at the University of Nottingham in the UK have even developed a deep learning algorithm that predicts death more accurately than human clinicians. The algorithm incorporates data from a huge range of factors in a chronically ill population, including how many fruits and vegetables a patient eats on a daily basis. Dr. Stephen Weng, lead author of the study, published in PLOS ONE, said in a press release, "We found machine learning algorithms were significantly more accurate in predicting death than the standard prediction models developed by a human expert."
New digital technologies are allowing patients to participate in their healthcare as never before. A feature of the new Apple Watch is an app that detects cardiac arrhythmias and even produces an electrocardiogram if an abnormality is detected. The technology, approved by the FDA, is helping cardiologists monitor heart patients and design interventions for those who may be at higher risk of a cardiac event like a stroke.
If having an algorithm predict your death sends a shiver down your spine, consider that algorithms may keep you alive longer. In 2018, technology reporter Tristan Greene wrote for Medium that "…despite the unending deluge of panic-ridden articles declaring AI the path to apocalypse, we're now living in a world where algorithms save lives every day. The future of machine learning isn't sentient killer robots. It's longer human lives."
The Risks of AI Compiling Your Data
To be sure, the advent of AI-infused medical technology is not without its risks. One risk is that the use of AI wearables constantly monitoring our vital signs could turn us into a nation of hypochondriacs, racing to our doctors every time there's a blip in some vital sign. Such a development could stress an already overburdened system that suffers from, among other things, a shortage of doctors and nurses. Another risk has to do with the privacy protections on the massive repository of intimately personal information that AI will have on us.
In an article recently published in the Journal of the American Medical Association, Australian researcher Kit Huckvale and colleagues examined the handling of data by 36 smartphone apps that assisted people with either depression or smoking cessation, two areas that could lend themselves to stigmatization if they fell into the wrong hands.
Out of the 36 apps, 33 shared their data with third parties, despite the fact that just 25 of those apps had a privacy policy at all and out of those, only 23 stated that data would be shared with third parties. The recipients of all that data? It went almost exclusively to Facebook and Google, to be used for advertising and marketing purposes. But there's nothing to stop it from ending up in the hands of insurers, background databases, or any other entity.
Even when data isn't voluntarily shared, any digital information can be hacked. EHRs and even wearable devices share the same vulnerability as any other digital record or device. Still, the promise of AI to radically improve efficiency and accuracy in healthcare is hard to ignore.
AI Can Help Restore Humanity to Medicine
Eric Topol, director of the Scripps Research Translational Institute and author of the new book Deep Medicine, says that AI gives doctors and nurses the most precious gift of all: time.
Topol welcomes his patients' use of the Apple Watch cardiac feature and is optimistic about the ways that AI is revolutionizing medicine. He says that the watch helps doctors monitor how well medications are working and has already helped to prevent strokes. But in addition to that, AI will help bring the humanity back to a profession that has become as cold and hard as a stainless steel dissection table.
"When I graduated from medical school in the 1970s," he says, "you had a really intimate relationship with your doctor." Over the decades, he has seen that relationship steadily erode as medical organizations demanded that doctors see more and more patients within ever-shrinking time windows.
"Doctors have no time to think, to communicate. We need to restore the mission in medicine."
In addition to that, EHRs have meant that doctors and nurses are getting buried in paperwork and administrative tasks. This is no doubt one reason why a recent study by the World Health Organization showed that worldwide, about 50 percent of doctors suffer from burnout. People who are utterly exhausted make more mistakes, and medical clinicians are no different from the rest of us. Only medical mistakes have unacceptably high stakes. According to its website, Johns Hopkins University recently announced that in the U.S. alone, 250,000 people die from medical mistakes each year.
"Doctors have no time to think, to communicate," says Topol. "We need to restore the mission in medicine." AI is giving doctors more time to devote to the thing that attracted them to medicine in the first place—connecting deeply with patients.
There is a real danger at this juncture, though, that administrators aware of the time-saving aspects of AI will simply push doctors to see more patients, read more tests, and embrace an even more crushing workload.
"We can't leave it to the administrators to just make things worse," says Topol. "Now is the time for doctors to advocate for a restoration of the human touch. We need to stand up for patients and for the patient-doctor relationship."
AI could indeed be a game changer, he says, but rather than squander the huge benefits of more time, "We need a new equation going forward."
Bivalent Boosters for Young Children Are Elusive. The Search Is On for Ways to Improve Access.
It’s Theo’s* first time in the snow. Wide-eyed, he totters outside holding his father’s hand. Sarah Holmes feels great joy in watching her 18-month-old son experience the world, “His genuine wonder and excitement gives me so much hope.”
In the summer of 2021, two months after Theo was born, Holmes, a behavioral health provider in Nebraska lost her grandparents to COVID-19. Both were vaccinated and thought they could unmask without any risk. “My grandfather was a veteran, and really trusted the government and faith leaders saying that COVID-19 wasn’t a threat anymore,” she says.” The state of emergency in Louisiana had ended and that was the message from the people they respected. “That is what killed them.”
The current official public health messaging is that regardless of what variant is circulating, the best way to be protected is to get vaccinated. These warnings no longer mention masking, or any of the other Swiss-cheese layers of mitigation that were prevalent in the early days of this ongoing pandemic.
The problem with the prevailing, vaccine centered strategy is that if you are a parent with children under five, barriers to access are real. In many cases, meaningful tools and changes that would address these obstacles are lacking, such as offering vaccines at more locations, mandating masks at these sites, and providing paid leave time to get the shots.
Children are at risk
Data presented at the most recent FDA advisory panel on COVID-19 vaccines showed that in the last year infants under six months had the third highest rate of hospitalization. “From the beginning, the message has been that kids don’t get COVID, and then the message was, well kids get COVID, but it’s not serious,” says Elias Kass, a pediatrician in Seattle. “Then they waited so long on the initial vaccines that by the time kids could get vaccinated, the majority of them had been infected.”
A closer look at the data from the CDC also reveals that from January 2022 to January 2023 children aged 6 to 23 months were more likely to be hospitalized than all other vaccine eligible pediatric age groups.
“We sort of forced an entire generation of kids to be infected with a novel virus and just don't give a shit, like nobody cares about kids,” Kass says. In some cases, COVID has wreaked havoc with the immune systems of very young children at his practice, making them vulnerable to other illnesses, he said. “And now we have kids that have had COVID two or three times, and we don’t know what is going to happen to them.”
Jumping through hurdles
Children under five were the last group to have an emergency use authorization (EUA) granted for the COVID-19 vaccine, a year and a half after adult vaccine approval. In June 2022, 30,000 sites were initially available for children across the country. Six months later, when boosters became available, there were only 5,000.
Currently, only 3.8% of children under two have completed a primary series, according to the CDC. An even more abysmal 0.2% under two have gotten a booster.
Ariadne Labs, a health center affiliated with Harvard, is trying to understand why these gaps exist. In conjunction with Boston Children’s Hospital, they have created a vaccine equity planner that maps the locations of vaccine deserts based on factors such as social vulnerability indexes and transportation access.
“People are having to travel farther because the sites are just few and far between,” says Benjy Renton, a research assistant at Ariadne.
Michelle Baltes-Breitwisch, a pharmacist, and her two-year-old daughter, Charlee, live in Iowa. When the boosters first came out she expected her toddler could get it close to home, but her husband had to drive Charlee four hours roundtrip.
This experience hasn’t been uncommon, especially in rural parts of the U.S. If parents wanted vaccines for their young children shortly after approval, they faced the prospect of loading babies and toddlers, famous for their calm demeanor, into cars for lengthy rides. The situation continues today. Mrs. Smith*, a grant writer and non-profit advisor who lives in Idaho, is still unable to get her child the bivalent booster because a two-hour one-way drive in winter weather isn’t possible.
It can be more difficult for low wage earners to take time off, which poses challenges especially in a number of rural counties across the country, where weekend hours for getting the shots may be limited.
Protect Their Future (PTF), a grassroots organization focusing on advocacy for the health care of children, hears from parents several times a week who are having trouble finding vaccines. The vaccine rollout “has been a total mess,” says Tamara Lea Spira, co-founder of PTF “It’s been very hard for people to access vaccines for children, particularly those under three.”
Seventeen states have passed laws that give pharmacists authority to vaccinate as young as six months. Under federal law, the minimum age in other states is three. Even in the states that allow vaccination of toddlers, each pharmacy chain varies. Some require prescriptions.
It takes time to make phone calls to confirm availability and book appointments online. “So it means that the parents who are getting their children vaccinated are those who are even more motivated and with the time and the resources to understand whether and how their kids can get vaccinated,” says Tiffany Green, an associate professor in population health sciences at the University of Wisconsin at Madison.
Green adds, “And then we have the contraction of vaccine availability in terms of sites…who is most likely to be affected? It's the usual suspects, children of color, disabled children, low-income children.”
It can be more difficult for low wage earners to take time off, which poses challenges especially in a number of rural counties across the country, where weekend hours for getting the shots may be limited. In Bibb County, Ala., vaccinations take place only on Wednesdays from 1:45 to 3:00 pm.
“People who are focused on putting food on the table or stressed about having enough money to pay rent aren't going to prioritize getting vaccinated that day,” says Julia Raifman, assistant professor of health law, policy and management at Boston University. She created the COVID-19 U.S. State Policy Database, which tracks state health and economic policies related to the pandemic.
Most states in the U.S. lack paid sick leave policies, and the average paid sick days with private employers is about one week. Green says, “I think COVID should have been a wake-up call that this is necessary.”
Maskless waiting rooms
For her son, Holmes spent hours making phone calls but could uncover no clear answers. No one could estimate an arrival date for the booster. “It disappoints me greatly that the process for locating COVID-19 vaccinations for young children requires so much legwork in terms of time and resources,” she says.
In January, she found a pharmacy 30 minutes away that could vaccinate Theo. With her son being too young to mask, she waited in the car with him as long as possible to avoid a busy, maskless waiting room.
Kids under two, such as Theo, are advised not to wear masks, which make it too hard for them to breathe. With masking policies a rarity these days, waiting rooms for vaccines present another barrier to access. Even in healthcare settings, current CDC guidance only requires masking during high transmission or when treating COVID positive patients directly.
“This is a group that is really left behind,” says Raifman. “They cannot wear masks themselves. They really depend on others around them wearing masks. There's not even one train car they can go on if their parents need to take public transportation… and not risk COVID transmission.”
Yet another challenge is presented for those who don’t speak English or Spanish. According to Translators without Borders, 65 million people in America speak a language other than English. Most state departments of health have a COVID-19 web page that redirects to the federal vaccines.gov in English, with an option to translate to Spanish only.
The main avenue for accessing information on vaccines relies on an internet connection, but 22 percent of rural Americans lack broadband access. “People who lack digital access, or don’t speak English…or know how to navigate or work with computers are unable to use that service and then don’t have access to the vaccines because they just don’t know how to get to them,” Jirmanus, an affiliate of the FXB Center for Health and Human Rights at Harvard and a member of The People’s CDC explains. She sees this issue frequently when working with immigrant communities in Massachusetts. “You really have to meet people where they’re at, and that means physically where they’re at.”
Equitable solutions
Grassroots and advocacy organizations like PTF have been filling a lot of the holes left by spotty federal policy. “In many ways this collective care has been as important as our gains to access the vaccine itself,” says Spira, the PTF co-founder.
PTF facilitates peer-to-peer networks of parents that offer support to each other. At least one parent in the group has crowdsourced information on locations that are providing vaccines for the very young and created a spreadsheet displaying vaccine locations. “It is incredible to me still that this vacuum of information and support exists, and it took a totally grassroots and volunteer effort of parents and physicians to try and respond to this need.” says Spira.
Kass, who is also affiliated with PTF, has been vaccinating any child who comes to his independent practice, regardless of whether they’re one of his patients or have insurance. “I think putting everything on retail pharmacies is not appropriate. By the time the kids' vaccines were released, all of our mass vaccination sites had been taken down.” A big way to help parents and pediatricians would be to allow mixing and matching. Any child who has had the full Pfizer series has had to forgo a bivalent booster.
“I think getting those first two or three doses into kids should still be a priority, and I don’t want to lose sight of all that,” states Renton, the researcher at Ariadne Labs. Through the vaccine equity planner, he has been trying to see if there are places where mobile clinics can go to improve access. Renton continues to work with local and state planners to aid in vaccine planning. “I think any way we can make that process a lot easier…will go a long way into building vaccine confidence and getting people vaccinated,” Renton says.
Michelle Baltes-Breitwisch, a pharmacist, and her two-year-old daughter, Charlee, live in Iowa. Her husband had to drive four hours roundtrip to get the boosters for Charlee.
Michelle Baltes-Breitwisch
Other changes need to come from the CDC. Even though the CDC “has this historic reputation and a mission of valuing equity and promoting health,” Jirmanus says, “they’re really failing. The emphasis on personal responsibility is leaving a lot of people behind.” She believes another avenue for more equitable access is creating legislation for upgraded ventilation in indoor public spaces.
Given the gaps in state policies, federal leadership matters, Raifman says. With the FDA leaning toward a yearly COVID vaccine, an equity lens from the CDC will be even more critical. “We can have data driven approaches to using evidence based policies like mask policies, when and where they're most important,” she says. Raifman wants to see a sustainable system of vaccine delivery across the country complemented with a surge preparedness plan.
With the public health emergency ending and vaccines going to the private market sometime in 2023, it seems unlikely that vaccine access is going to improve. Now more than ever, ”We need to be able to extend to people the choice of not being infected with COVID,” Jirmanus says.
*Some names were changed for privacy reasons.
What causes aging? In a paper published last month, Dr. David Sinclair, Professor in the Department of Genetics at Harvard Medical School, reports that he and his co-authors have found the answer. Harnessing this knowledge, Dr. Sinclair was able to reverse this process, making mice younger, according to the study published in the journal Cell.
I talked with Dr. Sinclair about his new study for the latest episode of Making Sense of Science. Turning back the clock on mouse age through what’s called epigenetic reprogramming – and understanding why animals get older in the first place – are key steps toward finding therapies for healthier aging in humans. We also talked about questions that have been raised about the research.
Show links:
Dr. Sinclair's paper, published last month in Cell.
Recent pre-print paper - not yet peer reviewed - showing that mice treated with Yamanaka factors lived longer than the control group.
Dr. Sinclair's podcast.
Previous research on aging and DNA mutations.
Dr. Sinclair's book, Lifespan.
Harvard Medical School