Getting to Know 6 AI Healthcare Startups: Remote Disease Monitoring, Disease Diagnosis Accelerated by Up to 10,000 Times

A while back, OpenAI's founder Sam Altman declared that the world is on the brink of a "intelligence revolution," emphasizing that AI is the core technology driving scientific breakthroughs, particularly in the field of medicine.

AI Real-World Applications Emerge

Despite ongoing criticisms, AI has shown promising results in healthcare and scientific research, with many projects utilizing AI to optimize medical practices, proving its practicality. Media outlet Cointelegraph compiled six AI projects that are actively driving advancements in healthcare. What are they doing?

GE Verisound AI: Accurate Heart Disease Diagnosis for Non-Professionals

GE Verisound AI uses AI to assist non-medical professionals in conducting cardiac ultrasound tests, enabling early detection of disease origins. It guides patients on how to use the ultrasound probe to ensure high-quality image capture. Additionally, AI aids in calculating cardiac health indicators, making patient diagnoses more precise and reducing errors.

Atomwise: AI Speeds Up Drug Discovery, Shortens Clinical Trial Times

Atomwise utilizes Convolutional Neural Networks (CNN) to predict the efficacy of potential drugs, significantly accelerating the drug discovery process. Traditional drug discovery is costly and time-consuming, but AI can rapidly screen potential drugs to reduce clinical trial times and costs.

In April of this year, Atomwise successfully evaluated and identified 235 novel drugs out of 318 drug targets in collaboration with over 250 academic institutions in more than 30 countries source.

Note: Convolutional Neural Networks are specialized in processing images to classify or identify based on automatically acquired image features.

Behold.ai & Enlitic: Red Dot AI Technology Enhances Disease Recognition Speed by 10,000 Times

Behold.ai and Enlitic have introduced AI-assisted radiology tools that employ red dot algorithms to aid in the rapid analysis of X-rays and other medical images, estimating speeds 10,000 times faster than regular radiologists. This not only enhances diagnostic accuracy by 90% but also helps reduce the workload on physicians, making it more efficient to handle a large volume of patient images and expedite medical service processes.

Note: Red dot algorithms assist in analyzing image data, rapidly identifying regions where diseases may exist and marking them.

Behold.ai's solution demonstrates a 29% reduction in doctors' workload and a 71% decrease in diagnosis waiting times. Enlitic claims to detect lung malignancies up to 18 months before biopsy.

Voiceitt: AI Speech Recognition Empowers Individuals with Speech Disabilities

Voiceitt has developed an AI speech recognition tool to help patients communicate with others effortlessly, enabling them to control AI devices and collaborating with voice platforms like Webex, Microsoft Teams, and Zoom. This allows patients to participate in online meetings while viewing real-time subtitles and text records, greatly improving their quality of life, helping them overcome communication barriers, and regaining autonomy.

Merative: Tailoring Medical Processes for Patients using Predictive Analysis and NLP

Merative utilizes AI to assist in medical decision-making by integrating patient data, employing predictive analysis and Natural Language Processing (NLP) to enable clinicians to make more accurate judgments. Merative's solution customizes prescriptions for patients, optimizes medical processes, and resource management.

Note: Predictive analysis uses historical data and statistical models to predict patient disease progression or treatment outcomes. NLP extracts key information from medical records to aid in medical judgments or assists in communication through voice assistants.

WELL Health Technologies: AI Automates Disease Monitoring, Precisely Maintains Patient Health

Canadian clinic WELL Health Technologies utilizes AI to automate tasks such as appointments, data analysis, and patient tracking to enhance service efficiency. It also aids in diagnosis, injury classification, and remote monitoring, facilitating early disease detection and health tracking. In July of this year, WELL launched an AI-powered cardiac management assistant to optimize cardiovascular disease management.

In conclusion, AI's practical applications in healthcare continue to emerge. With improved marginal benefits, AI can handle more complex medical data, potentially extending to higher-level neuroscience fields, even making "brain swapping" a possibility.