DOCTOR VITA, AN ORWELLIAN VERSION OF THE FUTURE OF MEDICINE

My name is Rick Novak, and I’m a double-boarded anesthesiologist and internal medicine doctor and a medical fiction author. I’m here to talk about Doctor Vita, a vision of the future of Artificial Intelligence in Medicine.

I’m an Adjunct Clinical Professor of Anesthesiology, Perioperative and Pain Medicine at Stanford and the Deputy Chief of the department. I don’t tout myself as an expert in AI technology, but I am an expert in taking care of patients, which I’ve done in clinics, operating rooms, intensive care units, and emergency rooms at Stanford and in Silicon Valley for over 30 years.

AI is already prevalent in our daily life. Smartphones verbally direct us to our destination through mazes of highways and traffic. Self-driving cars are in advanced testing phases. The Amazon Echo brings us Alexa, an AI-powered personal assistant who follows verbal commands in our homes.Artificial intelligence in medicine (AIM) will grow in importance in the decades to come and will change anesthesia practice, surgical practice, perioperative medicine in clinics, and the interpretation of imaging. AI is already prevalent in our daily life. Smartphones verbally direct us to our destination through mazes of highways and traffic. Self-driving cars are in advanced testing phases. The Amazon Echo brings us Alexa, an AI-powered personal assistant who follows verbal commands in our homes. AIM advances are paralleling these inventions in three clinical arenas:

Surgical Robot

1. Operating rooms: Anesthesia robots fall into two groups: manual robots and pharmacological robots. Manual robots include the Kepler Intubation System intubating robot:

designed to utilized video laryngoscopy and a robotic arm to place an endotracheal tube, the use of the DaVinci surgical robot to perform regional anesthetic blockade, and the use of the Magellan robot to place peripheral nerve blocks.

Magellan robot for placing regional anesthetic blocks

Pharmacological robots include the McSleepy intravenous sedation machine, designed to administer propofol, narcotic, and muscle relaxant:

McSleepy anesthesia robot

and the iControl-RP machine, described in The Washington Post as a closed-loop system intravenous anesthetic delivery system which makes its own decisions regarding the IV administration of remifentanil and propofol. This device monitors the patient’s EEG level of consciousness via a BIS monitor device as well as traditional vital signs. One of the machine’s developers, Mark Ansermino MD stated, “We are convinced the machine can do better than human anesthesiologists.” The current example of surgical robot technology in the operating room is the DaVinci operating robot. This robot is not intended to have an independent existence, but rather enables the surgeon to see inside the body in three dimensions and to perform fine motor procedures at a higher level. The good news for procedural physicians is that it’s unlikely any AIM robot will be able to independently master manual skills such as complex airway management or surgical excision. No device on the horizon can be expected to replace anesthesiologists. Anesthetizing patients requires preoperative assessment of all medical problems from the history, physical examination, and laboratory evaluation; mask ventilation of an unconscious patient; placement of an airway tube; observation of all vital monitors during surgery; removal of the airway tube at the conclusion of most surgeries; and the diagnosis and treatment of any complication during or following the anesthetic.

IBM Watson AI Robot

2. Clinics: In a clinic setting a desired AIM application would be a computer to input information on a patient’s history, physical examination, and laboratory studies, and via deep learning establish a diagnosis with a high percentage of success. IBM’s Watson computer has been programmed with over 600,000 medical evidence reports, 1.5 million patient medical records, and two million pages of text from medical journals. Equipped with more information than any human physician could ever remember, Watson is projected to become a diagnostic machine superior to any doctor. AIM machines can input new patient information into a flowchart, also known as a branching tree. A flowchart will mimic the process a physician carries out when asking a patient a series of increasingly more specific questions. Once each diagnosis is established with a reasonable degree of medical certainty, an already-established algorithm for treatment of that diagnosis can be applied. Because anesthesiology involves preoperative clinic assessment and perioperative medicine, the role of AIM in clinics is relevant to our field.

Artificial Intelligence and X-ray Interpretation

3. Diagnosis of images: Applications of image analysis in medicine include machine learning for diagnosis in radiology, pathology, and dermatology. The evaluation of digital X-rays, MRIs, or CT scans requires the assessment of arrays of pixels. Future computer programs may be more accurate than human radiologists. The model for machine learning is similar to the process in which a human child learns–a child sees an animal and his parents tell him that animal is a dog. After repeated exposures the child learns what a dog looks like. Early on the child may be fooled into thinking that a wolf is a dog, but with increasing experience the child can discern with almost perfect accuracy what is or is not a dog. Deep learning is a radically different method of programming computers which requires a massive database entry, much like the array of dogs that a child sees in the example above, until a computer can learn the skill of pattern matching. An AIM computer which masters deep learning will probably not give yes or no answers, but rather a percentage likelihood of a diagnosis, i.e. a radiologic image has a greater than a 99% chance of being normal, or a skin lesion has a greater than 99% chance of being a malignant melanoma. In pathology, computerized digital diagnostic skills will be applied to microscopic diagnose. In dermatology, machine learning will be used to diagnosis skin cancers, based on large learned databases of digital photographs. Imaging advances will not directly affect anesthesiologists, but if you’re a physician who makes his or her living by interpreting digital images, you should have real concern about AIM taking your job in the future.

There’s currently a shortage of over seven million physicians, nurses and other health workers worldwide. Can AIM replace physicians? Contemplate the following . . . 

All medical knowledge is available on the Internet:

Most every medical diagnosis and treatment can be written as a decision tree algorithm:

Voice interaction software is excellent:

The physical exam is of less diagnostic importance than scans and lab tests which can be digitalized:

Computers are cheaper than the seven-year post-college education required to train a physician:

versus an inexpensive computer:

There is a need for cheaper, widespread healthcare, and the concept of an automated physician is no longer the domain of science fiction. Most sources project an AIM robot doctor will likely look like a tablet computer. For certain applications such as clinical diagnosis or new image retrieval, the AIM robot will have a camera, perhaps on a retractable arm so that the camera can approach various aspects of a patient’s anatomy as indicated. Individual patients will need to sign in to the computer software system via retinal scanners, fingerprint scanners, or face recognition programs, so that the computer can retrieve the individual patient’s EHR data from an Internet cloud. It’s possible individual patients will be issued a card, not unlike a debit or credit card, which includes a chip linking them to their EHR data.

What will be the economics of AI in medicine? Who will pay for it? America spends 17.8% of its Gross National Product on healthcare, and this number is projected to reach 20% by 2025. Entrepreneurs realize that healthcare is a multi-billion dollar industry, and the opportunity to earn those healthcare dollars is alluring.

It’s inevitable that AI will change current medical practice. Vita is the Latin word for “life.” I’ve coined the name “Doctor Vita” for the AI robot which will someday do many of the tasks currently managed by human physicians.

These machines will breathe new life into our present healthcare systems. In all likelihood these improvements will be more powerful and more wonderful than we could imagine. A bold prediction: AI will change medicine more than any development since the invention of anesthesia in 1849. Doctor Vita from All Things That Matter Press describes a fictional University of Silicon Valley Medical Center staffed by both AI doctors and human doctors. How physicians interact with these machines will be a leading question for our future. AI in medicine will arrive in decades to come. Michael Crichton wrote Jurassic Parkin 1990, 29 years ago, and we still do not see genetically recreated dinosaurs roaming the Earth. But we will see AI in medicine within 29 years. You can bet on it.

Here’s a dilemma: In 2018 and 2019 autopilots drove two Boeing 737 Max airplanes to crashes despite the best efforts of human pilots to correct their course. To date there have been 3 deaths of drivers in self-driving Tesla automobiles. What will happen when AI intersects with medicine and we have machines directing medical care? In the spirit of Jules Verne, this century’s trip around the world, to the center of the earth, to the moon, or beneath the ocean’s surface is the coming of Artificial Intelligence in Medicine.

For the bibliography click here.

ARTIFICIAL INTELLIGENCE IS COMING. DOCTOR NOVAK DESCRIBES HOW DOCTOR VITA IS COMING TO OUR LIVES

artificial_intelligence_ai_healthcare

Doctor Rick Novak’s editorial “Artificial Intelligence in Anesthesia and Perioperative Medicine is Coming” was just published in EC Anaesthesia. I refer you to the direct link here.

Highlights from the paper follow:

Artificial intelligence in medicine (AIM) will grow in importance in the decades to come and will change anesthesia practice, surgical practice, perioperative medicine in clinics, and the interpretation of imaging. AI is already prevalent in our daily life. Smartphones verbally direct us to our destination through mazes of highways and traffic. Self-driving cars are in advanced testing phases. The Amazon Echo brings us Alexa, an AI-powered personal assistant who follows verbal commands in our homes. AIM advances are paralleling these inventions in three clinical arenas:

1. Operating rooms: Anesthesia robots fall into two groups: manual robots and pharmacological robots. Manual robots include the Kepler Intubation System intubating robot, designed to utilized video laryngoscopy and a robotic arm to place an endotracheal tube [1], the use of the DaVinci surgical robot to perform regional anesthetic blockade [2], and the use of the Magellan robot to place peripheral nerve blocks [3,4]. Pharmacological robots include the McSleepy intravenous sedation machine, designed to administer propofol, narcotic, and muscle relaxant [5], and the iControl-RP machine, described in The Washington Postas a closed-loop system intravenous anesthetic delivery system which makes its own decisions regarding the IV administration of remifentanil and propofol [6]. This device monitors the patient’s EEG level of consciousness via a BIS monitor device as well as traditional vital signs [7]. One of the machine’s developers, Mark Ansermino MD stated, “We are convinced the machine can do better than human anesthesiologists.” The current example of surgical robot technology in the operating room is the DaVinci operating robot. This robot is not intended to have an independent existence, but rather enables the surgeon to see inside the body in three dimensions and to perform fine motor procedures at a higher level. The good news for procedural physicians is that it’s unlikely any AIM robot will be able to independently master manual skills such as complex airway management or surgical excision. No device on the horizon can be expected to replace anesthesiologists. Anesthetizing patients requires preoperative assessment of all medical problems from the history, physical examination, and laboratory evaluation; mask ventilation of an unconscious patient; placement of an airway tube; observation of all vital monitors during surgery; removal of the airway tube at the conclusion of most surgeries; and the diagnosis and treatment of any complication during or following the anesthetic.

2. Clinics: In a clinic setting a desired AIM application would be a computer to input information on a patient’s history, physical examination, and laboratory studies, and via deep learning establish a diagnosis with a high percentage of success. IBM’s Watson computer has been programmed with over 600,000 medical evidence reports, 1.5 million patient medical records, and two million pages of text from medical journals [8]. Equipped with more information than any human physician could ever remember, Watson is projected to become a diagnostic machine superior to any doctor. AIM machines can input new patient information into a flowchart, also known as a branching tree. A flowchart will mimic the process a physician carries out when asking a patient a series of increasingly more specific questions. Once each diagnosis is established with a reasonable degree of medical certainty, an already-established algorithm for treatment of that diagnosis can be applied. Because anesthesiology involves preoperative clinic assessment and perioperative medicine, the role of AIM in clinics is relevant to our field.

3. Diagnosis of images: Applications of image analysis in medicine include machine learning for diagnosis in radiology, pathology, and dermatology. The evaluation of digital X-rays, MRIs, or CT scans requires the assessment of arrays of pixels. Future computer programs may be more accurate than human radiologists. The model for machine learning is similar to the process in which a human child learns–a child sees an animal and his parents tell him that animal is a dog. After repeated exposures the child learns what a dog looks like. Early on the child may be fooled into thinking that a wolf is a dog, but with increasing experience the child can discern with almost perfect accuracy what is or is not a dog. Deep learning is a radically different method of programming computers which requires a massive database entry, much like the array of dogs that a child sees in the example above, until a computer can learn the skill of pattern matching [9]. An AIM computer which masters deep learning will probably not give yes or no answers, but rather a percentage likelihood of a diagnosis, i.e. a radiologic image has a greater than a 99% chance of being normal, or a skin lesion has a greater than 99% chance of being a malignant melanoma. In pathology, computerized digital diagnostic skills will be applied to microscopic diagnose. In dermatology, machine learning will be used to diagnosis skin cancers, based on large learned databases of digital photographs. Imaging advances will not directly affect anesthesiologists, but if you’re a physician who makes his or her living by interpreting digital images, you should have real concern about AIM taking your job in the future.

There’s currently a shortage of over seven million physicians, nurses and other health workers worldwide [10]. Can AIM replace physicians? Contemplate the following: All medical knowledge is available on the Internet; most every medical diagnosis and treatment can be written as a decision tree algorithm; voice interaction software is excellent; the physical exam is of less diagnostic importance than scans and lab tests which can be digitalized; and computers are cheaper than the seven-year post-college education required to train a physician. There is a need for cheaper, widespread healthcare, and the concept of an automated physician is no longer the domain of science fiction. Most sources project an AIM robot doctor will likely look like a tablet computer. For certain applications such as clinical diagnosis or new image retrieval, the AIM robot will have a camera, perhaps on a retractable arm so that the camera can approach various aspects of a patient’s anatomy as indicated. Individual patients will need to sign in to the computer software system via retinal scanners, fingerprint scanners, or face recognition programs, so that the computer can retrieve the individual patient’s EHR data from an Internet cloud. It’s possible individual patients will be issued a card, not unlike a debit or credit card, which includes a chip linking them to their EHR data.

It’s inevitable that AIM will change current medical practice. In all likelihood these changes will be more powerful and more wonderful than we can imagine. A bold prediction: AIM will change medicine more than any development since the invention of anesthesia in 1849. How physicians interact with these machines will be a leading question for the twenty-first century.

For the bibliography click here.

Introducing DOCTOR VITA, a Near Future Medical Science Fiction Novel by Rick Novak MD

Rick Novak’s second novel Doctor Vita is due in 2019 from All Things That Matter Press.

IMG_7366

Silicon Valley transforms American medicine with the invention of Doctor Vita, the world’s first artificial intelligence physician module. Medical care is streamlined, automated, consistent, and costs are controlled. Enter Dr. Alec Lucas, a young computer scientist and physician who perceives serious flaws in the FutureCare System. Patients are dying. When Lucas makes his concerns public, he’s persecuted as an unsafe outlier of antiquated and flawed human medical care. The FutureCare System attacks his quixotic bid to halt the revolution in medical technology, and Lucas strives to solve the dystopian horrors behind Doctor Vita.

Rick Novak MD is board-certified in internal medicine and anesthesiology, and is an Adjunct Clinical Professor in the Stanford University Department of Anesthesiology, Perioperative and Pain Medicine. His experience in operating rooms, clinic settings, ICUs and emergency rooms give him unique and broad insight into what the near future of artificial intelligence in clinical medicine can and must look like.

The future of medicine begins in 2019 . . .

DOCTOR VITA. . . MEDICINE’S ANSWER TO GEORGE ORWELL’S 1984

The year 1984 has come and gone, but the dystopian future of medicine described in the novel Doctor Vita is with us today.

Doctor Vita by Rick Novak

Doctor Vita

Alec Lucas is a physician. His job is to diagnose and treat disease, and to keep people alive. Enter Doctor Vita, the most important invention in the history of medicine. Each Vita is a 12-inch white sphere packed with unlimited medical knowledge, compassionate empathy, a tireless work ethic, and a capacity for machine learning. Doctor Vita units are inexpensive, tireless, and brilliant, and arrive as the solution to America’s healthcare crisis.

Doctor Vita’s job is to also diagnose and treat disease, and Doctor Vita’s purpose is to take Alec Lucas’ job. When Lucas witnesses patients dying in never before seen ways, he’s convinced the Vita system is causing the fatalities. In retaliation, the machines blame the deaths on human errors by Lucas. The three physician inventors of Doctor Vita, powerful men of great wealth and even greater ambition, are determined to bury Alec Lucas beneath the tidal wave of artificial intelligence in medicine.

Set on the stage of a modern academic hospital, Doctor Vita is a prescient tale of Orwellian medical advances. In this near-future tale of man versus machine, Doctor Vita blends science, murder, and ethical dilemma as the story drives toward the unexpected twists at its conclusion.

Author Rick Novak MD is a double-boarded internal medicine and anesthesia doctor trained at Stanford University, and a current Adjunct Clinical Professor of Anesthesiology at Stanford. This realistic vision of Doctor Vita, set in the operating rooms and clinics of the future, could only be written by a physician experienced in both settings—one who balances both the advances of Silicon Valley and the tenants of traditional medicine.

All Things That Matter Press is publishing the novel Doctor Vita in 2019.

THE METRONOME

 

THE METRONOME by Richard Novak, M.D.     (as published in ANESTHESIOLOGY, Mind to Mind Section 2012: 117:417)

metronome poem

 

To Jacob’s mother I say,

“The risk of anything serious going wrong…”

She shakes her head, a metronome ticking without sound.

“with Jacob’s heart, lungs, or brain…”

Her lips pucker, proving me wrong.

“isn’t zero, but it’s very, very close to zero…”

Her eyes dart past me, to a future of ice cream and laughter.

“but I’ll be right there with him every second.”

The metronome stops, replaced by a single nod of assent.

She hands her only son to me.

An hour later, she stands alone,

Pacing like a Palace guard.

Her pupils wild.  Lower lip dancing.

The surgery is over.

Her eyebrows ascend in a hopeful plea.

I touch her hand.  Five icicles.

I say, “Everything went perfectly.  You can see Jacob now.”

The storm lifts.  She is ten years younger.

Her joy contagious as a smile.

The metronome beat true.

 

The Russell Museum of Medical History and Innovation at Massachusetts General Hospital presented an audio recording of The Metronome at Perspectives on Anesthesia, at Boston City Hall Plaza as part of HUBweek, Boston’s festival of innovation, in October 2017.

 

Coming in 2019, from All Things That Matter Press: DOCTOR VITA, Rick Novak’s second novel.

ai-medical-1-orig

 

How do you imagine the future of medical care? Cherubic young doctors holding your hand as you tell them what ails you? Genetic advances or nanotechnology gobbling up cancerous cells and banishing heart disease?

artificial-intelligence-in-medicine

Rick Novak describes a flawed future Eden where the only doctor you’ll ever need is Doctor Vita, the world’s first artificial intelligence physician, endowed with unlimited knowledge, a capacity for machine learning, a tireless work ethic, and compassionate empathy.

robo_aberta

Set on the stage of the University of Silicon Valley Medical Center, Doctor Vita is the 1984 of the medical world– a prescient tale of Orwellian medical advances. In this science fiction saga of man versus machine, Doctor Vita blends science, suspense, untimely deaths, and ethical dilemma as the technological revolution crashes full speed into your healthcare.

futuristic-hospital-3d-model_d

Hibbing, Minnesota authors: Bob Dylan (Chronicles), Vincent Bugliosi (Helter Skelter), Bethany McLean (The Smartest Guys in the Room), Rick Novak (The Doctor and Mr. Dylan)

A street sign in the childhood hometown of Bob Dylan, winner of the 2016 Nobel Prize for Literature, is seen in Hibbing, Minnesota

Marie Myung-OK Lee, author of The Millions, creative writing professor at Columbia University in New York, and fellow native of Hibbing, Minnesota, discusses the proliferation of writers from Bob Dylan’s hometown in this article.

Hibbing is indeed a remarkable town. In addition to the authors above, Hibbing was the birthplace of Baseball Hall of Fame inductee Roger Maris of the New York Yankees, and the hometown of Basketball Hall of Fame inductee Kevin McHale of the Boston Celtics.

img_0590

Bob (Dylan) Zimmerman’s photo from the Hibbing High School Hematite yearbook.

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Introducing …,  THE DOCTOR AND MR. DYLAN, Dr. Novak’s debut novel, a crime mystery. Publication date September 9, 2014 by Pegasus Books.

On October 2, 2014 THE DOCTOR AND MR. DYLAN became the world’s  #1 bestselling anesthesia Kindle book on Amazon.com.

To reach the Amazon webpage to purchase The Doctor and Mr. Dylan, click on the book image below:

IMG_3566_2

KIRKUS REVIEW

In this debut thriller, tragedies strike an anesthesiologist as he tries to start a new life with his son.

Dr. Nico Antone, an anesthesiologist at Stanford University, is married to Alexandra, a high-powered real estate agent obsessed with money. Their son, Johnny, an 11th-grader with immense potential, struggles to get the grades he’ll need to attend an Ivy League college. After a screaming match with Alexandra, Nico moves himself and Johnny from Palo Alto, California, to his frozen childhood home of Hibbing, Minnesota. The move should help Johnny improve his grades and thus seem more attractive to universities, but Nico loves the freedom from his wife, too. Hibbing also happens to be the hometown of music icon Bob Dylan. Joining the hospital staff, Nico runs afoul of a grouchy nurse anesthetist calling himself Bobby Dylan, who plays Dylan songs twice a week in a bar called Heaven’s Door. As Nico and Johnny settle in, their lives turn around; they even start dating the gorgeous mother/daughter pair of Lena and Echo Johnson. However, when Johnny accidentally impregnates Echo, the lives of the Hibbing transplants start to implode. In true page-turner fashion, first-time novelist Novak gets started by killing soulless Alexandra, which accelerates the downfall of his underdog protagonist now accused of murder. Dialogue is pitch-perfect, and the insults hurled between Nico and his wife are as hilarious as they are hurtful: “Are you my husband, Nico? Or my dependent?” The author’s medical expertise proves central to the plot, and there are a few grisly moments, as when “dark blood percolated” from a patient’s nostrils “like coffee grounds.” Bob Dylan details add quirkiness to what might otherwise be a chilly revenge tale; we’re told, for instance, that Dylan taught “every singer with a less-than-perfect voice…how to sneer and twist off syllables.” Courtroom scenes toward the end crackle with energy, though one scene involving a snowmobile ties up a certain plot thread too neatly. By the end, Nico has rolled with a great many punches.

Nuanced characterization and crafty details help this debut soar.