Transforming the Future with AI Applications in Healthcare

Artificial Intelligence (AI) has been seen as both a challenge and an opportunity, especially in healthcare. Every day, we hear news about applications of  AI in Healthcare  making breakthroughs in diagnosing and treating many diseases and improving patient care, especially for those with rare conditions. These AI applications are transforming how healthcare is planned and how medical services are delivered.

The Effect of AI Applications in Healthcare

From automated image screening to aiding diagnosis,  AI healthcare  applications include various technologies and solutions that help clinicians and other healthcare providers diagnose and treat diseases, improve patient outcomes, manage patient data, and transform many aspects of healthcare delivery. AI in healthcare includes tasks such as image recognition, predictive analytics, and natural language processing, which can improve diagnostic ability and clinical workflows.

Can We Build an Effective and Trusted AI Application in Healthcare?

Despite the significant attention on advancing AI in healthcare over the past decade, its actual use in clinical practice worldwide is still minimal. Many proposed AI products for healthcare remain in the prototype and development stages. Attempting to fit AI into unsuitable roles can be futile.

AI should complement and enhance human intelligence, not replace it. When building AI systems for healthcare, the goal should be to support and improve the human aspect of medical care, making it more efficient and effective. AI innovations in healthcare apps will come from understanding the complexity of the patient journey and care pathways in a human-centred way.

How is AI Used Today in Healthcare?

AI is a game-changer for the whole healthcare services sector in many ways. Here are a few examples:

• Radiology: AI solutions can automate the interpretation of images or highlight areas on a scan that need further attention. This can improve efficiency and reduce human error.
• Drug Discovery: AI can identify new potential therapies by searching large databases of clinical knowledge on existing medicines that could be re-engineered for new targets, such as the Ebola virus.
• Patient Risk Identification: Using decades of historical patient data, AI solutions can help clinicians flag patients at risk in real time. Current areas of focus include readmission risk, highlighting medical conditions, and patients likely to return to the hospital within 30 days of discharge.
• Primary Care/Triage: Several organizations are developing mobile healthcare apps with voice or chat-based solutions to take initial medical triage and provide advice directly to patients.

Top AI Tools in Healthcare

There are some innovative tools and platforms that rely on AI algorithms and machine learning to create smart and useful medical solutions.

 Viz.ai 

Viz.ai is a leader in AI-powered care coordination, providing a comprehensive solution that improves patient outcomes, supports clinicians, and enhances healthcare provider efficiency. Using advanced AI algorithms, Viz.ai ensures timely and accurate disease detection, optimized patient care, and significant improvements in clinical and economic health outcomes.

Features of Viz.ai:

• AI-Powered Care Coordination: Utilizes FDA-cleared algorithms to analyze medical imaging data, including CT scans, EKGs, and echocardiograms.
• Real-Time Insights: Provides automated assessments and real-time insights to accelerate diagnosis and treatment.
• Auto-Detection of Diseases: Detects suspected diseases across a wide range of therapeutic areas in seconds.
• Comprehensive Platform: Offers an all-in-one solution with multiple clinical applications.

Benefits of Viz.ai:

• Early Disease Detection: Detects diseases earlier, allowing for timely interventions.
• Optimized Outcomes: Ensures patients receive the treatments they need, when and where they need them.
• Improved Care Continuity: Provides lifelong care coordination, enhancing overall patient care.
• Accelerated Diagnosis and Treatment: Significantly reduces time to diagnosis and treatment, improving patient outcomes.
• Enhanced Decision-Making: Offers real-time insights and automated assessments to support clinical decisions.
• Increased Efficiency: Streamlines workflows and reduces delays in patient care.

 Enlitic 

Enlitic helps healthcare systems improve the quality of their medical imaging data using AI. Enlitic has developed an intelligent data framework that enhances workflows, organizes data, and provides healthcare providers alike a better understanding of archived information.

Use Cases:

• For Healthcare Providers: Empower healthcare professionals with deep insights into their data archives, leading to better decision-making and improved patient outcomes.
• For Radiologists: Manage workflows efficiently with normalized DICOM studies and consistent hanging protocols, reducing manual tasks and ensuring the right studies are always in your worklist.
• For PACS Administrators: Improve study labeling and data organization, reducing routine tasks and increasing job satisfaction by focusing on valuable projects.
• For Hospital Administrators: Turn the high cost of storing medical images into potential revenue sources through enriched, standardized data and better data quality.
• For Researchers: Access high-quality data for research, driven by top-notch medical imaging data crucial for advancements in diagnostics and treatment.

Features:

• Standardize: Ensures complete, consistent, and correct data for multiple use cases, improving efficiency.
• Anonymize: Protects patient information in pixel and metadata while maintaining clinical relevance and high-quality data.
• Monetize: Leverages decades of archived medical images for economic benefit.
• Improve: Enhances reading processes, and data quality, and generates new revenue sources.
• Transformative AI Capabilities: Uses AI to improve medical imaging data quality and unlock new revenue opportunities.
• Intelligent Data Framework: Enhances data quality, organizes workflows, and provides a better comprehension of archived information.

Benefits:

• Enhanced Data Quality: Consistent and standardized data improve the accuracy and efficiency of clinical workflows.
• Increased Efficiency: Reduces manual tasks, allowing staff to focus on more valuable activities.
• New Revenue Opportunities: Monetizes decades of archived data, turning storage costs into potential revenue.
• Improved Research: Provides high-quality, anonymized data for research, facilitating advancements in diagnostics and treatment.

 Regard 

Regard is a revolutionary healthcare automation solution that optimizes revenue capture and enhances the efficiency of clinical tasks, allowing healthcare providers to focus on patient care.

Use Cases:

• For Clinicians:
• For Administrators:

Features:

• Revenue Capture: Automates billing and coding processes to ensure accurate revenue capture.
• EHR Integration: Seamlessly integrates with electronic health records (EHR) to comprehensively scan and analyze patient data.

Benefits:

• Time Savings: Saves up to 20% of time spent on administrative tasks.
• Reduction in Burnout: Decreases clinician burnout by 56%, enhancing job satisfaction and overall well-being.
• Enhanced Diagnostic Accuracy: Improves capture of Complications or Comorbidities/Major Complications or Comorbidities (CC/MCC) by 14%, ensuring better patient care and accurate documentation.
• CMI Increase: Increases the Case Mix Index (CMI) by 8%, reflecting a higher level of resource utilization and complexity in patient care.

 SkinVision 

SkinVision is a regulated medical service designed to improve skin health management using advanced AI technology and professional dermatological expertise. It provides accurate and timely skin cancer detection, personalized skin health advice, disease prevention, and health path recommendations.

Features:

• AI-Powered Detection: Uses a highly accurate AI algorithm to detect signs of common skin cancers with up to 95% sensitivity.
• Smart Check Camera: Allows users to check their skin and receive instant risk assessments.
• Body Map: Enables users to track skin spots regularly for changes over time.
• Personalized Advice: Provides tailored advice based on skin type and risk profile.
• Reminders: Helps users maintain a consistent skin health routine with customizable reminders.

Benefits:

• Early Detection: Identifies potential skin cancer risks early, increasing the chances of successful treatment.
• Accessibility: Conduct self-exams anytime and anywhere with immediate risk assessments.
• Expert Support: Combines AI technology with the expertise of top dermatologists for reliable skin checks.
• Personalized Health Journey: Guides users through a personalized skin health journey based on their risk assessment.
• Regulated Medical Device: Clinically validated and holds certifications such as CE mark, TGA approval, and ISO certification.

 PathAI 

PathAI's mission is to improve patient safety and outcomes using reliable AI-powered technology and meaningful collaboration with biopharma and pathology laboratories. It aims to provide valuable insights for biomarker discovery, drug development, and better laboratory workflows.

Features:

• AISight: A cloud-based intelligent workflow solution for digital pathology.
• AI-Powered Pathology: Advanced AI models for analyzing tissue samples.
• Comprehensive Precision Pathology Solutions: Utilizes over 15 million annotations from a vast network of pathologists.

Benefits:

• Improved Patient Outcomes: Enhances diagnosis accuracy and treatment matching.
• Accelerated Drug Development: Speeds up approval and delivery of life-saving therapies.
• Optimized Laboratory Workflows: Streamlines case and image management for histopathology.

 Binah.ai 

Binah.ai offers an AI-powered, video-based software solution that allows users to measure various health and wellness indicators using a smartphone, tablet, mobile device, or laptop. It provides an easy-to-integrate SDK for businesses to enhance their services with real-time health data.

How It Works:

• Spot Checks: Using camera-based devices, Binah.ai extracts and analyzes an rPPG signal from exposed skin on the face.
• Continuous Checks: Binah.ai analyzes a PPG signal from sensors via Bluetooth to calculate health parameters.
• Contactless Blood Pressure Monitoring: Uses rPPG to analyse light reflections from the skin to extract blood pressure readings.
• Fall Detection: Utilizes wearable sensors to detect falls and send alerts with location details.

Use Cases:

• Healthcare: Enables continuous and spot patient health monitoring, improving patient care and outcomes.
• Pharma: Supports drug development and clinical trials with real-time health data.
• Insurance: Provides insurers with reliable health data to assess risk and personalize policies.
• Wellness: Enhances wellness programs with comprehensive health monitoring tools.

Features:

• Wide Range of Indicators: Measures blood pressure, heart rate, heart rate variability, oxygen saturation, breathing rate, sympathetic stress, parasympathetic activity, pulse-respiration quotient (PRQ), smoker detection, tuberculosis risk, Binah Wellness Score, fall detection, haemoglobin, and haemoglobin A1C (under research).
• Seamless Integration: Delivered as a Software Development Kit (SDK) for easy integration into any app or workflow.
• Spot and Continuous Monitoring: Supports spot checks using camera-based devices and continuous checks using external PPG sensors.
• Contactless Blood Pressure Monitoring: Utilizes remote photoplethysmography (rPPG) for non-invasive blood pressure measurement.
• Fall Detection: Uses gyroscope and accelerometer data from wearable sensors to detect falls and send alerts.

Benefits:

• Accessible Health Data: This makes health and wellness data more accessible without needing special hardware.
• Cost-Effective: Provides businesses with an affordable way to obtain user-provided health data.
• Easy Integration: Binah SDK can be easily integrated into existing apps or workflows.
• Real-Time Monitoring: Enables real-time health data sharing, improving service offerings.
• Comprehensive Monitoring: Offers extensive health parameter extraction, supporting various devices and operating systems.

 MedGPT 

MedGPT is a cutting-edge tool and health app designed to assist healthcare professionals in various aspects of patient care. It uses advanced technology to analyze medical data, provide diagnostic insights, and offer treatment recommendations.

Features:

• Advanced Data Analysis: Utilizes sophisticated machine learning algorithms to process vast amounts of clinical data.
• Natural Language Processing (NLP): Analyzes unstructured clinical notes for better patient information understanding.
• Intuitive Search: Effortlessly find relevant information about medications, side effects, dosages, and treatment options.
• User-Friendly Interface: Presents information in a clear, concise, and easy-to-understand format.
• Continuous Updates: Ensures the latest medical knowledge and advancements are integrated into the tool.
• Reliable and Trustworthy: Provides accurate and dependable information to users.
• EHR Integration: Seamlessly integrates with electronic health records for real-time data analysis.

Benefits:

• Improved Diagnostic Accuracy: Enhances the precision of medical diagnoses by offering comprehensive data analysis.
• Increased Efficiency: Automates administrative tasks and data processing, allowing healthcare providers to focus more on patient care.
• Enhanced Patient Outcomes: Provides timely and accurate recommendations, improving overall patient outcomes.
• Cost Savings: Reduces the need for redundant tests and procedures, lowering healthcare costs.
• Better Patient Engagement: Offers personalized care plans and follow-up recommendations, enhancing patient satisfaction and adherence to treatment.
• Scalability: Easily scalable to accommodate various healthcare settings, from small clinics to large hospitals.

Thanks to AI-powered diagnostic platforms, healthcare practitioners now have the latest tools to tackle serious ailments. From radiology to dermatology, vital signs analysis to measuring depression severity, these ultra-scalable diagnostic tools are improving all the time. Where can you find these tools? Viz.ai, Enlitic, Regard, SkinVision, PathAI, Binah.ai, MedGPT. With state-of-the-art AI-driven platforms, healthcare providers open to AI innovation can greatly improve their diagnostic abilities and patient care.