Lunge Systems
8 min readSep 29, 2022

Michael Howell, Google’s chief clinical officer and deputy chief health officer, says, “It’s hard to imagine a technology that is more hyped than AI.”

Even so, Stephen Parodi, executive vice president of The Permanente Federation, says, “Widespread AI use in healthcare is still in its infancy.”

You must be womdering why they said so…

AI is getting increasingly sophisticated at doing what humans do, but more efficiently, more quickly and at a lower cost. The potential for both AI and robotics in healthcare is vast.

One of AI’s biggest potential benefits is to help people stay healthy so they don’t need a doctor, or at least not as often. The use of AI and the Internet of Medical Things (IoMT) in consumer health applications is already helping people.

Technology applications and apps encourage healthier behaviour in individuals and help with the proactive management of a healthy lifestyle. It puts consumers in control of health and well-being.

Additionally, AI increases the ability for healthcare professionals to better understand the day-to-day patterns and needs of the people they care for, and with that understanding they are able to provide better feedback, guidance and support for staying healthy.

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.

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


Check out these amzing examples of AI in healthcare.

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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.

In healthcare, delays can mean the difference between life and death, so 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.

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.

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.

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.

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.

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.

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.

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.

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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.

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.

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.

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.

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.

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.

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.

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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.

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 few extremelygood examples of how AI is helping healthcare facilities better manage patient flow.

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.

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.

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.

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.

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.

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.

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.

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.

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How AI Is Enhancing Robotic Surgery

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 some

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.

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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