AI Healthcare companies are organizations that specialize in the use of artificial intelligence (AI) and machine learning in the healthcare industry. These companies use advanced algorithms and data analytics to improve all aspects of healthcare, including diagnosis, treatment, patient care, and clinical research. Know more about Best AI Healthcare Companies).

These companies develop artificial intelligence solutions that can analyze and interpret large volumes of medical data, including electronic health records, medical images, genetic data and clinical trials. AI healthcare companies aim to improve decision making, increase efficiency and improve patient outcomes by extracting valuable insights from this data.

AI medical companies often collaborate with doctors, hospitals, research centers and pharmaceutical companies to develop and apply their technologies.
They work on tasks related to diagnosis, drug discovery, personalized medicine, clinical evaluation, predictive testing, and clinical decision support.

Five AI Startups in Healthcare (India)

India is at the forefront of the global AI revolution as more and more companies leverage AI to improve healthcare. The healthcare industry is no exception in the country’s booming startup ecosystem. Tell us about 5 AI healthcare startups in India that are making a huge impact on the industry.

HealthifyMe: It has Ria, an AI-powered virtual assistant that can communicate with users and answer health, nutrition, and health-related questions in ten languages.

PharmEasy: Mumbai-based startup using machine learning and big data. The smartphone app connects users to these pharmacies to provide hassle-free treatment. In addition, the application makes extensive use of data processing and analysis solutions.

ai: is a Mumbai-based startup that uses artificial intelligence to help radiologists diagnose and interpret medical images. The company’s flagship product, qXR, uses deep learning to analyze X-ray images and identify anomalies.

SigTuple: SigTuple is a Bengaluru-based initiative that uses artificial intelligence to analyze medical images and diagnostic data to assist doctors in diagnosing and treating patients. The company’s flagship product, Manthana, is an intelligent diagnostic platform that helps doctors and radiologists identify diseases quickly and accurately.

Nirama: Niramai is a Bengaluru-based initiative that uses artificial intelligence to improve early detection of breast cancer. The company’s artificial intelligence platform, Thermalytix, uses thermal imaging to detect breast cancer at an early stage, making it less invasive than mammograms.

ai: is a Mumbai-based startup that uses artificial intelligence to help radiologists diagnose and interpret medical images. The company’s flagship product, qXR, uses deep learning to analyze X-ray images and identify anomalies.

Five AI Startups in Healthcare (USA)

: Corti’s voice digital assistant provides great support to doctors.The AI ​​was trained from thousands of hours of real patient calls and conversations. During the patient visit, he/she recognizes speech and word usage and listens together with the healthcare professionals.Smart tools can be used to make better and more direct hospital emergency calls and streamline patient flow and disease triage. It can also be used for phone calls and post-conference confirmation.

Arterys :In 2017, Arterys became the first company to receive FDA approval to leverage cloud computing and deep learning in the clinical setting.The company started with a specific problem: It wanted to make it easier for doctors to diagnose heart disease in infants and children.

4D Flow MRI, an imaging technique that shows blood flow in the heart, solves diagnostic problems, but the hospital’s image archive server cannot read as much data as the 4D Flow outputs.
To solve this problem, Arterys uses cloud computing to send images from 4D Flow via a web browser to hospital radiologists, enabling them to make life-saving decisions.

Butterfly Net: Ultrasound is used in the diagnosis of many diseases such as blood clots, gallstones and cancer. With advanced ultrasound machines costing $100,000 or more, diagnosis is not possible in underserved populations worldwide.The Butterfly Net meets this need by creating the first full-body hand type. These small pockets can be connected to smartphones and taken to the furthest places to view images. It is combined with intelligent technology to accurately interpret the results according to the human doctor.

Caption Health: Caption Health improves patient care with more advanced ultrasound technology, with a focus on early detection.Ultrasound techniques can be difficult to master and may require specialized training. Poor imaging can lead to poor results and lack of time for treatment. Caption Health uses artificial intelligence to guide doctors through the imaging process and automatically evaluate image quality.

CloudMedX :CloudMedX is a computer system that uses predictive analytics to improve clinical processes and improve patient outcomes.It uses artificial intelligence to gather information and create a picture of people and communities. An integrated information platform for business, from birth to treatment to finance, means doctors can find everything they need in one place.The company’s healthcare model processes medical records and assigns a risk score to predict infection and determine a patient’s prognosis if there is a problem.

Five AI Startups in Healthcare (Canada)

BenchSci is an intelligence-based platform that asks researchers to search millions of documents for information on drug use. Extracts evidence of use from the scientific literature and organizes it around vaccines. It is designed to help researchers focus on new aspects of their work and enable them to make biomedical discoveries faster. It has functions such as reagent selection and antibody selection.

AlayaCare: Alayacare provides a cloud-based software platform for home healthcare providers. The platform includes clinical information, post-operative, patient and family portals, remote patient monitoring, telemedicine, and mobile caregiver applications. It also helps identify applicable devices, fetch machine learning-processed patient data, and provide real-time insights to doctors.

Deep Genomics: Deep Genomics has expertise in machine learning, genome biology, and precision medicine. They examine next-generation computing, machine learning, and deep learning; What happens in cells when DNA is altered by genetic modification, whether natural or therapeutic.
Their first product is SPIDEX, which is predicted from a sequence of transcription factors and their RNA splicing throughout the human genome. They make the SPIDEX database free for non-commercial use.

CorVista: AI-based diagnostic tool for heart health for doctors. The company has developed a diagnostic tool called CorVista that can detect heart disease in patients. The technology used in the software analyzes patient data to identify conditions such as pulmonary hypertension, heart failure, or coronary artery disease.

Kinova: Manufacturer of robotic arms for self-help and research.The main product is a 6-axis robotic arm with a two- or three-fingered arm that allows users to perform a variety of operations for patients with spinal cord injuries, SMA, muscular muscular dystrophy, ALS and stroke.

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