Few applications for AI can be more critical than advancing healthcare delivery and outcomes against the most devastating illnesses and diseases. Here, advanced and innovative uses for the technology are leading to proactive interventions and improved patient care by identifying high-risk individuals and enabling timely and more effective treatments.
Both large international companies and smaller, innovative startups are providing the industry with AI-driven solutions that are impacting everything from diagnostics and treatment to drug discovery and patient care. Some of the most transformative applications of the technology include analysing medical images to detect diseases such as cancer, predicting patient risks for conditions like heart failure and AI-powered robots assisting surgeons with complex procedures.
Hereâs a closer look at some of the leading businesses transforming healthcare and driving better patient outcomes through AI.
10. Arterys
CEO/Founder: Fabien Beckers (2011-2020)
Headquarters: San Francisco, US
A significant proportion of the world’s medical data resides in medical images. Yet this places challenges on the healthcare industry including enormous workloads on radiologists, a lack of accuracy with existing tools and the need for greater consistency in analysis. Arterys was created in 2011 to use AI, data and technology to solve these problems. It delivers the most comprehensive set of clinical AI solutions in the industry that assist professionals in interpreting medical images more effectively and accurately. This improves physicians’ expertise, patient outcomes and efficiency.
9. Tempus
CEO/Founder: Eric Lefkosky
Headquarters: Chicago, US
Tempus uses AI to transform how diseases are diagnosed, treated and defeated. It tackles a core challenge in modern medicine: that ‘one-size-fits-all’ treatments often fail because each patient’s disease is unique. Rather, Tempus focuses on personalised medicine, using data and AI to deliver tailored treatments. Its work in genomic and data analysis allows physicians to look for complex patterns and interactions that drive disease progression and response to therapies. Its AI platform holds a vast database of genomic data that helps improve treatment options and patient outcomes.
8. Teladoc health
CEO: Chuck Divita
Headquarters: New York, US
Teladoc is one of the leading virtual care companies, using advanced technologies, data-driven insights and personalised interactions to transform healthcare experiences. AI is crucial to delivering on this ambition, particularly in the company’s Virtual Sitter solution where AI algorithms analyse video footage to detect potential fall risks in patients. This allows for faster intervention by healthcare professionals and improves patient safety. Teladoc also uses AI to predict patient needs, match patients with the most appropriate physician based on data analysis and develop and deliver personalised care plans.
7. GE Healthcare
CEO: Peter J Arduini
Headquarters: Chicago, US
GE Healthcare is driven by its vision for a world where healthcare has no limits. It believes that digitalisation drives productivity to improve the lives of patients and create meaningful efficiencies for global providers, health systems and researchers. Innovation underpins GE Healthcare’s success. The company is embedding AI in its imaging and patient monitoring portfolio and integrating it into core products to enhance diagnostics, streamline workflows and provide personalised care. Key areas of application include AI-powered medical imaging, where GE uses deep learning to reconstruct MRI images, improving quality and reducing scan times.
6. Siemens Healthineers
CEO: Bernd Montag
Headquarters: Erlangen, Germany
Siemens Healthineers pioneers breakthroughs in healthcare with a portfolio of products, services and solutions improving clinical decision making and treatment pathways. One of its core strengths lies in AI-driven imaging solutions, including the development of AI algorithms to help reconstruct CT images, accelerate MRI scans and guide complex ultrasound procedures. The company leverages AI in other areas such as automating lab processes, enabling rapid diagnoses at point of care and supporting the planning and delivery of advanced therapies such as radiation therapy for cancer treatment.
5. Philips Healthcare
CEO: Roy Jakobs
Headquarters: Amsterdam, Netherlands
Philips embeds AI across its healthcare ecosystem, focusing on developing intelligent and connected systems that streamline workflows and improve patient outcomes. Its AI technology facilitates precision diagnostics with image analysis tools that can detect subtle anomalies in medical images. For example, its AI algorithms can analyse cardiac MRI scans to provide detailed insights into heart function and structure, thus improving the diagnosis of heart failure and other conditions. Philips is also using AI for areas including patient monitoring and care management and to assist pathologists to make more precise cancer diagnoses.
4. Amazon Web Services (AWS)
CEO: Matt Garman (Top 100 Leaders in Technology - #8)
Headquarters: Seattle, US
While AWS doesnât directly provide patient care, its cloud infrastructure and AI/ML services are revolutionising healthcare by enabling providers and innovators to build transformative solutions. Its scalable compute and storage services are advancing genomics research by allowing researchers to analyse datasets more rapidly and identify disease-causing genes and targeted therapies. It also provides specialised services to simplify complex workflows in bioinformatics analysis, and cloud-based solutions that enable greater data storage and sharing to improve operational efficiency for healthcare providers.
3. Microsoft
CEO: Satya Nadella (Top 100 Leaders in Technology - #2)
Headquarters: Washington, US
Microsoft is developing and deploying advanced AI products and services across industries, including healthcare. The companyâs Cloud for Healthcare is a collection of Microsoft cloud services specifically designed for healthcare organisations to enhance patient care, medical research and operational efficiency. It leverages the power of Azure and includes solutions like Microsoftâs InnerEye platform, which uses AI to analyse medical images, the Microsoft Fabric AI-powered health data platform, and a clinical documentation version of the company's AI Copilot.
2. NVIDIA
CEO: Jensen Huang (Top 100 Leaders in Technology - #1)
Headquarters: California, US
NVIDIAâs standing in AI innovation and development is widely recognised, and the companyâs same industry-leading solutions are driving performance and patient outcomes in the healthcare sector. The company doesnât directly provide patient care, but its high performance computing platforms are the engine on which complex AI models transforming things like drug discovery and medical imagery are developed and deployed.
For example, researchers use Nvidia’s DGX systems, which are purposefully built for AI workloads, to train AI models that can detect cancer in mammograms with higher accuracy and speed than traditional methods.
NVIDIA’s healthcare solutions fall under its Clara suite, which is used for applications including biopharma, medical devices, medical imaging and genomics. Beyond hardware and software, NVIDIA is also working to foster an ecosystem of healthcare AI developers by collaborating with healthcare providers, research institutions and other technology companies.
1. Google
CEO: Sundar Pichai (Top 100 Leaders in Technology - #6)
Headquarters: California, US
Googleâs expertise in AI combined with its vast data resources are transforming healthcare by improving patient outcomes, empowering clinicians and optimising operational efficiency. The company is known for its AI-powered diagnostics solutions, where its research teams have created AI models capable of detecting diseases like cancer and diabetic retinopathy. In addition, its pathology solutions use AI to help pathologists improve diagnostic accuracy and efficiency.
Google continues to innovate in the space. It is actively developing AI-driven solutions capable of analysing patient data and health records to predict patient risk and create personalised treatment plans. Other areas of development include using AI to analyse complex biological data to accelerate drug discovery and development.
Beyond direct solutions, healthcare companies and operations use Google Cloud as a robust infrastructure for storing and analysing vital healthcare data securely and efficiently. This brings a host of benefits such as streamlined workflows, lower administrative burden and better care coordination.
Explore the latest edition of AI Magazine and be part of the conversation at our global conference series, Tech & AI LIVE.
Discover all our upcoming events and secure your tickets today.
AI Magazine is a BizClik brand
