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."
Debates over transgender athletes rage on, with new state bans and rules for Olympians, NCAA sports
Ashley O’Connor, who was biologically male at birth but identifies as female, decided to compete in badminton as a girl during her senior year of high school in Downers Grove, Illinois. There was no team for boys, and a female friend and badminton player “practically bullied me into joining” the girls’ team. O’Connor, who is 18 and taking hormone replacement therapy for her gender transition, recalled that “it was easily one of the best decisions I have ever made.”
She believes there are many reasons why it’s important for transgender people to have the option of playing sports on the team of their choice. “It provides a sense of community,” said O’Connor, now a first-year student concentrating in psychology at the College of DuPage in Glen Ellyn, Illinois.
“It’s a great way to get a workout, which is good for physical and mental health,” she added. She also enjoyed the opportunity to be competitive, learn about her strengths and weaknesses, and just be normal. “Trans people have friends and trans people want to play sports with their friends, especially in adolescence,” she said.
However, in 18 states, many of which are politically conservative, laws prohibit transgender students from participating in sports consistent with their gender identity, according to the Movement Advancement Project, an independent, nonprofit think tank based in Boulder, Colo., that focuses on the rights of LGBTQ people. The first ban was passed in Idaho in 2020, although federal district judges have halted this legislation and a similar law in West Virginia from taking effect.
Proponents of the bans caution that transgender females would have an unfair biological advantage in competitive school sports with other girls or women as a result of being born as stronger males, potentially usurping the athletic accomplishments of other athletes.
“The future of women’s sports is at risk, and the equal rights of female athletes is being infringed,” said Penny Nance, CEO and president of Concerned Women for America, a legislative action committee in D.C. that seeks to impact culture to promote religious values.
“As the tidal wave of gender activism consumes sports from the Olympics on down, a backlash is being felt as parents are furious about the disregard for their daughters who have worked very hard to achieve success as athletes,” Nance added. “Former athletes, whose records are being shattered, are demanding answers.”
Meanwhile, opponents of the bans contend that they bar transgender athletes from playing sports with friends and learning the value of teamwork and other life lessons. These laws target transgender girls most often in kindergarten through high school but sometimes in college as well. Many local schools and state athletic associations already have their own guidelines “to both protect transgender people and ensure a level playing field for all athletes,” according to the Movement Advancement Project’s website. But statewide bans take precedence over these policies.
"It’s easy to sympathize on some level with arguments on both sides, and it’s likely going to be impossible to make everyone happy,” said Liz Joy, a past president of the American College of Sports Medicine.
In January, the National Collegiate Athletic Association (NCAA), based in Indianapolis, tried to sort out the controversy by implementing a new policy. It requires transgender students participating in female sports to prove that they’ve been taking treatments to suppress testosterone for at least one year before competition, as well as demonstrating that their testosterone level is sufficiently low, depending on the sport, through a blood test.
Then, in August, the NCAA clarified that these athletes also must take another blood test six months after their season has started that shows their testosterone levels aren’t too high. Additional guidelines will take effect next August.
Even with these requirements, “there is no plan that is going to be considered equitable and fair to all,” said Bradley Anawalt, an endocrinologist at the University of Washington School of Medicine. Biologically, he noted, there is still some evidence that a transgender female who initiates hormone therapy with estrogen and drops her testosterone to very low levels may have some advantage over other females, based on characteristics such as hand and foot size, height and perhaps strength.
Liz Joy, a past president of the American College of Sports Medicine, agrees that allowing transgender athletes to compete on teams of their self-identifying gender poses challenges. “It’s easy to sympathize on some level with arguments on both sides, and it’s likely going to be impossible to make everyone happy,” said Joy, a physician and senior medical director of wellness and nutrition at Intermountain Healthcare in Salt Lake City, Utah. While advocating for inclusion, she added that “sport was incredibly important in my life. I just want everyone to be able to benefit from it.”
One solution may be to allow transgender youth to play sports in a way that aligns with their gender identity until a certain age and before an elite level. “There are minimal or no potential financial stakes for most youth sports before age 13 or 14, and you do not have a lot of separation in athlete performance between most boys and girls until about age 13,” said Anwalt, who was a reviewer of the Endocrine Society’s national guidelines on transgender care.
Myron Genel, a professor emeritus and former chief of pediatric endocrinology at Yale School of Medicine, said it’s difficult to argue that height gives transgender females an edge because in some sports tall women already dominate over their shorter counterparts.
He added that the decision to allow transgender females to compete with other girls or women could hinge on when athletes began taking testosterone blockers. “If the process of conversion from male to female has been undertaken in the early stages of puberty, from my perspective, they have very little unique advantage,” said Genel, who advised the International Olympic Committee (IOC), based in Switzerland, on testosterone limits for transgender athletes.
Because young athletes’ bodies are still developing, “the differences in natural abilities are so massive that they would overwhelm any advantage a transgender athlete might have,” said Thomas H. Murray, president emeritus of The Hastings Center, a pioneering bioethics research institute in Garrison, New York, and author of the book “Good Sport,” which focuses on the ethics and values in the Olympics and other competitions.
“There’s no good reason to limit the participation of transgender athletes in the sports where male athletes don’t have an advantage over women,” such as sailing, archery and shooting events, Murray said. “The burden of proof rests on those who want to restrict participation by transgender athletes. They must show that in this sport, at this level of competition, transgender athletes have a conspicuous advantage.”
Last year, the IOC issued a new framework emphasizing that the Olympic rules related to transgender participation should be specific to each sport. “This is an evolving topic and there has been—as it will continue to be—new research coming out and new developments informing our approach,” and there’s currently no consensus on how testosterone affects performance across all sports, an IOC spokesperson told Leaps.org.
Many of the new laws prohibiting transgender people from competing in sports consistent with their gender identity specifically apply to transgender females. Yet, some experts say the issue also affects transgender males, nonbinary and intersex athletes.
“There has been quite a bit of attention paid to transgender females and their participation in biological female sports and almost minimal focus on transgender male competition in male sports or in any sports,” said Katherine Drabiak, associate professor of public health law and medical ethics at University of South Florida in Tampa. In fact, “transgender men, because they were born female, would be at a disadvantage of having less lean body mass, less strength and less muscular area as a general category compared to a biological male.”
While discussing transgender students’ participation in sports, it’s important to call attention to the toll that anti-transgender legislation can take on these young people’s well-being, said Jonah DeChants, a research scientist at The Trevor Project, a suicide prevention and mental health organization for LGBTQ youth. Recent polling found that 85 percent of transgender and nonbinary youth said that debates around anti-transgender laws had a negative impact on their mental health.
“The reality is simple: Most transgender girls want to play sports for the same reasons as any student—to benefit their health, to have fun, and to build connection with friends,” DeChants said. According to a new peer-reviewed qualitative study by researchers at The Trevor Project, many trans girls who participated in sports experienced harassment and stigma based on their gender identity, which can contribute to poor mental health outcomes and suicide risk.
In addition to badminton, O'Connor played other sports such as volleyball, and she plans to become an assistant coach or manager of her old high school's badminton team.
Ashley O'Connor
However, DeChants added, research also shows that young people who reported living in an accepting community, had access to LGBTQ-affirming spaces, or had social support from family and friends reported significantly lower rates of attempting suicide in the past year. “We urge coaches, educators and school administrators to seek LGBTQ-cultural competency training, implement zero tolerance policies for anti-trans bullying, and create safe, affirming environments for all transgender students on and off the field,” DeChants said.
O’Connor said her experiences on the athletic scene have been mostly positive. The politics of her community lean somewhat liberal, and she thinks it’s probably more supportive than some other areas of the country, though she noted the local library has received threats for hosting LGBTQ events. In addition to badminton, she also played baseball, lacrosse, volleyball, basketball and hockey. In the spring, she plans to become an assistant coach or manager for the girls’ badminton team at her old high school.
“When I played badminton, I never got any direct backlash from any coaches, competitors or teammates,” she said. “I had a few other teammates that identified as trans or nonbinary, [and] nearly all of the people I ever interacted with were super pleasant and treated me like any other normal person.” She added that transgender athletes “have aspirations. We have wants and needs. We have dreams. And at the end of the day, we just want to live our lives and be happy like everyone else.”
The Friday Five covers five stories in research that you may have missed this week. There are plenty of controversies and troubling ethical issues in science – and we get into many of them in our online magazine – but this news roundup focuses on scientific creativity and progress to give you a therapeutic dose of inspiration headed into the weekend.
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Here are the promising studies covered in this week's Friday Five:
- Research on a "smart" bandage for wounds
- A breakthrough in fighting inflammation
- The pros and cons of a new drug for Alzheimer's
- Benefits of the Mediterranean diet - with a twist
- How to recycle a plastic that was un-recyclable