Rose Velazquez | Jun 10, 2022
Artem Oppermann | Sep 26, 2022

Artificial intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.  

One of the world’s highest-growth industries, AI sector funding was up by 108 percent in 2021, with healthcare accounting for about a fifth of overall funding, according to CB Insights.

AI in Healthcare

Artificial intelligence is used in healthcare to discover links between genetic codes, power surgical robots and maximize hospital efficiency.

Whether it’s used to find new links between genetic codes or to drive surgery-assisting robots, AI is reinventing — and reinvigorating — modern healthcare through machines that can predict, comprehend, learn and act.

AI in Healthcare Companies

  • Buoy Health
  • PathAI
  • BenevolentAI
  • Babylon
  • Spring Health
  • Tempus
  • Vicarious Surgical
  • Accuray

Check out these 40 examples of AI in healthcare.


AI medical diagnosis
Image: Shutterstock

How AI Is Changing Medical Diagnosis

Every year, roughly 400,000 hospitalized patients suffer preventable harm, with 100,000 deaths. In light of that, the promise of improving the diagnostic process is one of AI’s most exciting healthcare applications.  

Incomplete medical histories and large caseloads can lead to deadly human errors. Immune to those variables, AI can predict and diagnose disease at a faster rate than most medical professionals.

Here are nine ways AI reduces errors and saves lives.


Location: San Francisco, California

In healthcare, delays can mean the difference between life and death, so Viz.ai helps care teams react faster with AI-powered healthcare solutions. The company’s AI products can detect issues and notify care teams quickly, enabling providers to discuss options, provide faster treatment decisions, thus saving lives.


Location: Boston, Massachusetts

PathAI develops machine learning technology to assist pathologists in making more accurate diagnoses. The company’s current goals include reducing error in cancer diagnosis and developing methods for individualized medical treatment.

PathAI worked with drug developers like Bristol-Myers Squibb and organizations like the Bill & Melinda Gates Foundation to expand its AI technology into other healthcare industries.


Location: Boston, Massachusetts

Buoy Health is an AI-based symptom and cure checker that uses algorithms to diagnose and treat illness. Here’s how it works: a chatbot listens to a patient’s symptoms and health concerns, then guides that patient to the correct care based on its diagnosis.

Developed by a team out of Harvard Medical School, Buoy’s AI helps diagnose and treat patients more quickly.


Location: San Francisco, California

Enlitic develops deep learning medical tools to streamline radiology diagnoses. The company’s deep learning platform analyzes unstructured medical data – radiology images, blood tests, EKGs, genomics, patient medical history – to give doctors better insight into a patient’s real-time needs.


Location: San Francisco, California

Freenome uses AI in screenings, diagnostic tests and blood work to test for cancer. By deploying AI at general screenings, Freenome aims to detect cancer in its earliest stages and subsequently develop new treatments.


Location: Boston, Massachusetts

Harvard University’s teaching hospital, Beth Israel Deaconess Medical Center, used AI for diagnosing potentially deadly blood diseases at an early stage.

Doctors developed AI-enhanced microscopes to scan for harmful bacterias like E. coli and staphylococcus in blood samples at a faster rate than is possible using manual scanning. The scientists used 25,000 images of blood samples to teach the machines how to search for bacteria. The machines then learned how to identify and predict harmful bacteria in blood with 95 percent accuracy.


Location: Cambridge, Massachusetts

Iterative Scopes applies AI to gastroenterology to improve disease diagnosis and treatment. The company’s AI Recruitment service uses computational algorithms to automate the process of identifying patients who are eligible to be potential candidates for inflammatory bowel disease clinical trials. 

Iterative Scopes also submitted the first clinical trial of its SKOUT device, a tool that uses AI to help doctors identify potentially cancerous polyps, for review by the FDA.


Location: Peoria, Illinois

VirtuSense uses AI sensors to track a patient’s movements so that providers and caregivers can be notified of potential falls. The company’s products include VSTAlert, which can predict when a patient intends to stand up and alert appropriate medical staff, and VST Balance, which employs AI and machine vision to analyze a person’s risk of falling within the next year.


Location: Brisbane, California

Caption Health combines AI and ultrasound technology for early disease identification. AI guides providers through the ultrasound process in real time to produce diagnostic-quality images that the software then helps to interpret and assess.

Caption Health’s platform is already being applied for cardiac ultrasound images, and the Bill & Melinda Gates Foundation gave the company a $4.95 million grant to put toward development of AI-guided lung ultrasound.

Read More48 Healthcare Technology Startups and Companies on the Forefront of Modern Medicine


AI drug discovery
Image: Shutterstock

How AI Is Boosting Drug Discovery

The drug development industry is bogged down by skyrocketing development costs and research that takes thousands of human hours. Putting each drug through clinical trials costs an estimated average of $1.3 billion, and only 10% of those drugs are successfully brought to market.

Due to breakthroughs in technology, biopharmaceutical companies are quickly taking notice of the efficiency, accuracy and knowledge AI can provide.

Here are six companies that rely on AI to develop the next wave of medicines.


Location: New Haven, Connecticut

BioXcel Therapeutics uses AI to identify and develop new medicines in the fields of immuno-oncology and neuroscience. Additionally, the company’s drug re-innovation program employs AI to find new applications for existing drugs or to identify new patients.


Location: Framingham, Massachusetts

BERG is a clinical-stage, AI-based biotech platform that maps diseases to accelerate the discovery and development of breakthrough medicines. By combining its “Interrogative Biology” approach with traditional research and development, BERG develops product candidates that fight rare diseases.


Location: Cambridge, Massachusetts

Combining AI, the cloud and quantum physics, XtalPi’s ID4 platform predicts the chemical and pharmaceutical properties of small-molecule candidates for drug design and development. Additionally, the company claims its crystal structure prediction technology predicts complex molecular systems within days rather than weeks or months. XtalPi’s investors have included Google, Tencent and Sequoia Capital.


Location: San Francisco, California

Atomwise uses AI to tackle serious diseases, including Ebola and multiple sclerosis.

The company’s neural network, AtomNet, helps predict bioactivity and identify patient characteristics for clinical trials. Atomwise’s AI technology screens between 10 and 20 million genetic compounds each day and can reportedly deliver results 100 times faster than traditional pharmaceutical companies.


Location: Fully Remote

Deep Genomics’ AI platform helps researchers find candidates for developmental drugs related to neuromuscular and neurodegenerative disorders. Finding the right candidates during a drug’s development statistically raises the chances of successfully passing clinical trials while also decreasing time and cost to market.

Deep Genomics’ “Project Saturn” analyzes over 69 billion different cell compounds and provides researchers with feedback.


Location: London, England

The primary goal of BenevolentAI is to get the right treatment to the right patients at the right time by using AI to produce a better target selection and provide previously undiscovered insights through deep learning.

BenevolentAI works with major pharmaceutical groups to license drugs, while also partnering with charities to develop easily transportable medicines for rare diseases.


AI patient experience
Image: Shutterstock

How AI Is Transforming Patient Experience

In the healthcare industry, time is money. Efficiently providing a seamless patient experience allows hospitals, clinics and physicians to treat more patients on a daily basis.

U.S. hospitals admitted more than 33 million patients in 2020, each with different ailments, insurance coverage and conditions that factor into providing service. Studies show hospitals whose patients have positive experiences have higher profits, while negative reviews can lead to financial losses.

New innovations in AI healthcare technology are streamlining the patient experience, helping hospital staff process millions, if not billions of data points, faster and more efficiently. 

We’ve rounded up 12 examples of how AI is helping healthcare facilities better manage patient flow.


Location: Austin, Texas

Babylon is on a mission to reengineer healthcare by shifting the focus away from caring for the sick to helping prevent sickness, leading to better health and less health-related expenses. 

The platform features an AI engine created by doctors and deep learning scientists that operates an interactive symptom checker, using known symptoms and risk factors to provide the most informed and up-to-date medical information possible. Additionally, the Babylon platform features a monitoring system to help people stay healthy for longer periods of time.


Location: New York, New York

Spring Health offers a mental health benefit solution employers can adapt to provide their employees with the resources to keep their mental health in check. The clinically validated technology works by collecting a comprehensive dataset from each individual and comparing that against hundreds of thousands of other data points. The platform then uses a machine learning model to match people with the right specialist for either in-person care or telehealth appointments.


Location: New York, New York

One Drop provides a discreet solution for managing chronic conditions like diabetes and high blood pressure, as well as weight management. The One Drop Premium app allows people to manage their conditions head first, offering interactive coaching from real-world professionals, predictive glucose readings powered by AI and data science, learning resources and daily tracking of readings taken from One Drop’s Bluetooth-enabled glucose reader and other devices.


Location: New York, New York

Kaia Health operates a digital therapeutics platform that features live physical therapists to provide people care within the boundaries of their schedules. The platform includes personalized programs with case reviews, exercise routines, relaxation activities and learning resources for treating chronic back pain and COPD.

Kaia Health also features a PT-grade automated feedback coach that uses AI technology. Kaia Health is available as an integration with leading medical professionals or as an employer-offered benefit.


Location: Mountain View, California

Twin Health’s holistic method seeks to address and potentially reverse chronic conditions like Type 2 Diabetes through a mixture of IoT tech, AI, data science, medical science and healthcare. The company created the Whole Body Digital Twin — a digital representation of human metabolic function built around thousands of health data points, daily activities and personal preference. 

The company’s Twin Service provides personalized nutrition, sleep, activity and breathing guidance members.


Location: Columbus, Ohio

Olive’s AI platform automates repetitive healthcare tasks, freeing up administrators to work on higher-level ones. The platform automates everything from eligibility checks to un-adjudicated claims and data migrations so staffers can focus on patient service.

Olive’s AI as a Service integrates with a hospital’s existing software and tools, eliminating the need for costly integrations or downtimes.


Location: Mountain View, California

Qventus is an AI-based software platform that solves operational challenges, including those related to emergency rooms and patient safety. The company’s automated platform prioritizes patient illness and injury, tracks hospital waiting times and can chart the fastest ambulance routes.


Location: Cleveland, Ohio

The Cleveland Clinic teamed up with IBM on the Discovery Accelerator, an AI-infused initiative focused on faster healthcare breakthroughs. 

The joint center is building an infrastructure that supports research in areas such as genomics, chemical and drug discovery and population health. The collaboration employs big data medical research for the purpose of innovating patient care and approaches to public health threats.


Location: Baltimore, Maryland

Johns Hopkins Hospital partnered with GE Healthcare to use predictive AI techniques to improve the efficiency of patient operational flow.

A task force, augmented with AI, quickly prioritized hospital activity to benefit patients. Since implementing the program, the facility has assigned patients admitted to the emergency department to beds 38% faster.


Location: Palo Alto, California

CloudMedX uses machine learning to generate insights for improving patient journeys throughout the healthcare system.

The company’s technology helps hospitals and clinics manage patient data, clinical history and payment information by using predictive analytics to intervene at critical junctures in the patient care experience. Healthcare providers can use these insights to efficiently move patients through the system.


Location: Menlo Park, California

Subtle Medical uses AI to enhance images for radiology departments. The SubtlePET and SubtleMR products work with the machines a facility already uses to speed up MRI and PET scans while reducing image noise. The software has the potential to shrink wait times by scanning more patients each day.


Location: New York, New York

Happify Health employs AI to deliver users personalized care programs. Using its Intelligent Healing Platform, the company develops Sequences that tailor tracks for managing medical conditions like multiple sclerosis and psoriasis. These individualized programs can include digital therapeutics, care communities and coaching options.

Further Reading11 Medical and Surgical Robots Transforming the Healthcare Industry


AI data management healthcare
Image: Shutterstock

How AI Is Optimizing Healthcare Data Management

Healthcare is widely considered one of the next big data frontiers to tame. Highly valuable information can sometimes get lost among the forest of trillions of data points. Additionally, the inability to connect important data points slows the development of new drugs, preventative medicine and proper diagnosis. 

Many in healthcare are turning to AI as a way to stop the data hemorrhaging. The technology breaks down data silos and connects in minutes information that used to take years to process. A 2021 survey found 99 percent of healthcare leaders who planned to use AI expected to see savings.

Here are seven examples of AI companies helping the healthcare industry stay afloat in an ocean of data.  


Location: Chicago, Illinois

Tempus uses AI to sift through the world’s largest collection of clinical and molecular data to personalize healthcare treatments. The company develops AI tools that give physicians insights into treatments and cures.


Location: Armonk, New York

Once known as a Jeopardy-winning supercomputer, IBM’s Watson now helps healthcare professionals harness their data to optimize hospital efficiency, better engage with patients and improve treatment.

Watson applies its skills to everything from developing personalized health plans to interpreting genetic testing results and catching early signs of disease.


Location: Seattle, Washington

KenSci combines big data and AI to predict clinical, financial and operational risk by taking data from existing sources to foretell everything from who might get sick to what’s driving up a hospital’s healthcare costs.

KenSci partners have included GE, KPMG, Allscripts and Microsoft.


Location: Philadelphia, Pennsylvania

Proscia is a digital pathology platform that uses AI to detect patterns in cancer cells. The company’s software helps pathology labs eliminate bottlenecks in data management and uses AI-powered image analysis to connect data points that support cancer discovery and treatment.


Location: Mountain View, California

H2O.ai’s AI analyzes data throughout a healthcare system to mine, automate and predict processes. It has been used to predict ICU transfers, improve clinical workflows and pinpoint a patient’s risk of hospital-acquired infections.

Using the company’s AI to mine health data, hospitals can predict and detect sepsis, which ultimately reduces death rates.


Location: Shenzhen, China

ICarbonX uses AI and big data to look more closely at human life characteristics with its Digital Life Platform. By analyzing the health and actions of human beings in a “carbon cloud,” the company hopes its big data will help manage all aspects of health. ICarbonX believes its technology can gather enough data to better classify symptoms, develop treatment options and get people healthier.


Location: San Francisco, California

AKASA’s AI platform helps healthcare providers streamline workflows by automating administrative tasks to allow staff to focus where they’re needed. The automation can be customized to meet a facility’s particular needs and priorities, while maintaining accuracy for managing claims, payments and other elements of the revenue cycle.

More than 475 hospitals and 8,000 outpatient facilities across the United States have used the AKASA platform.


AI in robotic surgery
Image: Shutterstock

How AI Is Enhancing Robotic Surgery

Popularity in robot-assisted surgery is skyrocketing. Hospitals are using robots to help with everything from minimally invasive procedures to open heart surgery. According to the Mayo Clinic, robots help doctors perform complex procedures with a precision, flexibility and control that goes beyond human capabilities.

Robots equipped with cameras, mechanical arms and surgical instruments augment the experience, skill and knowledge of doctors to create a new kind of surgery. Surgeons control the mechanical arms while seated at a computer console while the robot gives the doctor a three dimensional, magnified view of the surgical site that surgeons could not get from relying on their eyes alone. The surgeon then leads other team members who work closely with the robot through the entire operation.

Robot-assisted surgeries have led to fewer surgery-related complications, less pain and a quicker recovery time. Take a look at six examples of how robots are shaping the future of surgery.


Location: Waltham, Massachusetts

Vicarious Surgical combines virtual reality with AI-enabled robots so surgeons can perform minimally invasive operations. Using the company’s technology, surgeons can virtually shrink and explore the inside of a patient’s body in detail. Vicarious Surgical’s technology concept prompted former Microsoft chief Bill Gates to invest in the company.


Location: Redwood City, California

Auris Health develops a variety of robots to improve endoscopies by employing the latest in micro instrumentation, endoscope design, data science and AI. Consequently, doctors get a clearer view of a patient’s illness from both a physical and data perspective. The company is developing AI robots to study lung cancer, with the goal of curing it someday.


Location: Sunnyvale, California

The Accuray CyberKnife system uses AI and robotics to precisely treat cancerous tumors. The technology lets providers personalize stereotactic radiosurgery and stereotactic body radiation therapy for each patient. Using the robot’s real-time tumor tracking capabilities, doctors and surgeons can treat affected areas rather than the whole body.


Location: Sunnyvale, California

The first robotic surgery assistant approved by the FDA, Intuitive’s da Vinci platforms feature cameras, robotic arms and surgical tools to aid in minimally invasive procedures.

Da Vinci platforms constantly take in information and provide analytics to surgeons to improve future procedures. Da Vinci has assisted in over 10 million operations.


Location: Pittsburgh, Pennsylvania

The Robotics Institute at Carnegie Mellon University developed Heartlander, a miniature mobile robot designed to facilitate therapy on the heart. Under a physician’s control, the tiny robot enters the chest through a small incision, navigates to certain locations of the heart by itself, adheres to the surface of the heart and administers therapy.


Location: Eindhoven, Netherlands

Microsure’s robots help surgeons overcome their human physical limitations. 

The company’s motion stabilizer system is intended to improve performance and precision during surgical procedures. The company’s MUSA surgical robot, developed by engineers and surgeons, can be controlled via joysticks for performing microsurgery.

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