Medicine and health
AI in clinical practice, diagnosis, treatment and healthcare delivery.
21 milestones
BrainGate researchers decode imagined handwriting from neural signals to enable high-speed text communication
In May 2021, Francis R. Willett and colleagues at Stanford University and Howard Hughes Medical Institute published results showing that a BrainGate2 intracortical electrode array could decode imagined handwriting movements in a paralysed person at 90 characters per minute with 94.1% raw accuracy, substantially exceeding prior neural-interface typing rates.
CURIAL: An AI System to Detect COVID-19 in Emergency Department Patients Using Routine Blood Tests and Vital Signs
In July 2020, researchers at the University of Oxford, led by Dr Andrew Soltan and Professor David Clifton, announced CURIAL, a machine-learning model trained on routine blood tests and vital signs from 115,000 hospital presentations that could identify COVID-19 patients in emergency departments within one hour and with accuracy exceeding 90%.
MIT Researchers Use Machine Learning to Identify Halicin, an Antibiotic Effective Against Drug-Resistant Bacteria
On 20 February 2020, James Collins and colleagues at MIT published research in Cell describing a deep-learning model trained to predict antibiotic activity; the model identified halicin, a compound previously investigated for diabetes treatment, as a potent broad-spectrum antibiotic capable of killing several drug-resistant bacterial strains.
Google AI Model Matches or Exceeds Radiologist Performance in Lung Cancer Detection from CT Scans
In May 2019, researchers at Google Health and Northwestern Medicine published a deep-learning model in Nature Medicine that detected malignant lung nodules in low-dose CT scans, matching or exceeding the performance of six radiologists on a held-out dataset, with fewer false positives and false negatives when prior scans were unavailable.
Facebook Deploys AI-Assisted Suicide Prevention Detection Across Live Video
In November 2017, Facebook announced the global expansion of an AI system designed to detect signs of suicidal intent in posts and Live videos, using pattern recognition trained on reports flagged by human reviewers to surface at-risk content to its Community Operations team and connect users with crisis resources.
Nanorobotic drug delivery using flagellated bacteria by team from Polytechnique Montréal
In August 2016, a team led by Sylvain Martel at Polytechnique Montréal published research in Nature Nanotechnology demonstrating that swarms of approximately 100 million flagellated bacteria, each carrying a magnetosome acting as a compass, could transport and release an anticancer drug payload preferentially within the hypoxic regions of a tumour in a mouse model.
Ekso Bionics Receives FDA Clearance for EksoGT Powered Exoskeleton
Ekso Bionics developed a powered lower-limb exoskeleton enabling individuals with spinal cord injuries and stroke-related paralysis to stand and walk in clinical rehabilitation settings, receiving FDA clearance for its EksoGT device in 2016 after earlier clearances beginning in 2014.
BrainGate2 Participants Use Thought-Controlled Robotic Arm to Reach and Grasp
In May 2012, researchers in the BrainGate2 clinical trial, led by Leigh Hochberg and colleagues at Massachusetts General Hospital, Brown University, and affiliated institutions, demonstrated that two participants with tetraplegia could use neural signals decoded from a 96-electrode intracortical array to control a robotic arm and perform reach-and-grasp tasks without manual assistance.
REX Robotic Exoskeleton Enables Independent Walking for Paraplegics
In July 2010, REX Bionics of New Zealand publicly demonstrated the REX robotic exoskeleton, a self-supporting powered lower-limb device allowing paraplegic users to stand, walk, turn and navigate stairs without crutches, marking an early commercial step in AI-assisted assistive mobility.
Electronic Skin with Pressure Sensing Developed at University of Tokyo
In December 2008, Takao Someya and colleagues at the University of Tokyo published research in Nature Materials describing a flexible electronic skin using carbon nanotube composite films, enabling large-area pressure sensing suitable for robotic tactile feedback and wearable physiological monitoring.
I-LIMB: First Commercially Available Multi-Articulating Bionic Hand
In 2007, Touch Bionics of Livingston, Scotland launched the I-LIMB Hand, the first commercially available prosthetic hand with five individually powered, articulating fingers. Within a year roughly 200 patients had received the device, which used myoelectric signals from residual limb muscles to control grip patterns.
LOPES Exoskeleton Robot for Interactive Gait Rehabilitation
Researchers at the University of Twente, led by Jan F. Veneman and colleagues, developed LOPES (Lower Extremity Powered ExoSkeleton), a treadmill-based robotic exoskeleton for interactive gait rehabilitation following stroke, with the system described fully in a 2007 IEEE publication. The robot combined powered hip and knee actuation with impedance control to support or resist patient movement during walking.
Autonomous Robotic Cardiac Surgery Guided by Machine Learning
In May 2006, a robotic surgical system at the University of Toronto, trained on data from more than 10,000 prior operations, performed an autonomous 50-minute cardiac procedure on a beating human heart, demonstrating machine-learning-guided autonomy in a clinical surgical setting.
Silicon Retina with Ganglion Cell Spiking Outputs as Neural Prosthesis
Around 2006, researchers developed a silicon retina implemented as an analogue VLSI chip that modelled four primary retinal ganglion cell types and generated 3,600 spiking outputs, designed as a neural prosthesis matched to the physical dimensions of the biological retina.
FDA Clears CyberKnife for Full-Body Tumour Treatment
In August 2001, the US Food and Drug Administration cleared the CyberKnife Robotic Radiosurgery System for treatment of tumours anywhere in the body, extending an earlier 1999 clearance limited to the head and neck. The system uses real-time image guidance and robotic positioning to deliver radiation with sub-millimetre accuracy.
FDA Clearance of the da Vinci Surgical System for Laparoscopic Surgery
In July 2000, the US Food and Drug Administration cleared Intuitive Surgical's da Vinci Surgical System for use in laparoscopic procedures, marking the first regulatory approval of a robotic-assisted surgical system for general laparoscopic surgery in the United States.
PUFF expert system interprets pulmonary function tests at Stanford
In 1983, Janice S. Aikins, John C. Kunz, and Edward H. Shortliffe of Stanford University published a description of PUFF, a rule-based expert system that automated interpretation of pulmonary function test data at Pacific Medical Center in San Francisco, producing physician-reviewed diagnostic reports without manual analysis.
CADUCEUS Medical Expert System (Pople, University of Pittsburgh)
Harry Pople at the University of Pittsburgh developed CADUCEUS (originally called INTERNIST-1) during the late 1970s and early 1980s, publishing a detailed account in 1982. The system encoded diagnostic knowledge for several hundred internal medicine diseases and was among the most comprehensive medical diagnosis programs of its era.
INTERNIST-I Developed by Jack D. Myers and Harry E. Pople Jr.
Jack D. Myers and Harry E. Pople Jr. at the University of Pittsburgh developed INTERNIST-I, an expert system for internal medicine diagnosis, with its principal public evaluation published in the New England Journal of Medicine in 1982. The system encoded knowledge of roughly 500 diseases and 3,500 symptoms, demonstrating that algorithmic clinical reasoning could approach specialist performance on complex cases.
MYCIN: A Rule-Based Expert System for Infectious Disease Diagnosis, Developed at Stanford University
Beginning around 1972, Edward Shortliffe at Stanford University developed MYCIN, a rule-based expert system written in Lisp that used approximately 600 if-then rules to diagnose bacterial blood infections and recommend antibiotic treatments adjusted for patient body weight, establishing a widely studied model for clinical decision support.
Rancho Arm Connected to Computer at Stanford Artificial Intelligence Laboratory
Around 1963, engineers at Rancho Los Amigos Hospital collaborated with Stanford Artificial Intelligence Laboratory to interface the six-degree-of-freedom Rancho Arm, an electrically powered prosthetic limb, with a computer, producing one of the earliest demonstrations of computer-controlled multi-jointed robotic manipulation.