Wellness & Lifestyle

Acer Medical, a subsidiary of the Acer Group, is a leading AI diagnostics company focused on integrating technology and medicine to unlock healthcare's full potential. The company utilizes artificial intelligence, rich clinical data, and software development capabilities to deliver AI-driven medical solutions. Acer Medical supports health tech innovation from development to implementation, with over 300 clinical implementations in hospitals and clinics, serving an estimated 350,000 patients annually. Their solutions include VeriSee DR, VeriSee AMD, VeriSee GLC, VeriOsteo OP, aiMed, aiGait, ARC-1000, and VeriCompact, all backed by 12 regulatory approvals.

Ankr Health offers AI-powered virtual employees, such as Mira (AI Medical Assistant) and Frank (AI Scheduler), specifically designed for medical practices. These AI employees aim to address common healthcare challenges like excessive patient calls, staffing shortages, and high operational costs. Mira handles patient calls and messages, integrates with EHRs for documentation, and supports clinicians during visits. Frank manages scheduling, cancellations, and rebooking appointments, operating in co-pilot or autonomous modes and adhering to complex rules like Epic Cadence. The platform emphasizes compliance, security (HIPAA, SOC2, cyber liability coverage), and seamless integration with existing EHR workflows to improve efficiency, patient satisfaction, and revenue for healthcare organizations.

My Health - Gheware is an AI-powered diabetes management platform designed to help individuals with Type 1, Type 2, prediabetes, and gestational diabetes improve their Time in Range and reduce glucose variability. The platform integrates CGM data (FreeStyle Libre, Dexcom), sleep tracking via Google Fit, and activity tracking through Strava to provide comprehensive insights. Its AI, powered by Claude Sonnet 4.5, analyzes these data points using six statistical models to identify hidden patterns and deliver personalized, actionable recommendations. Key features include medical-grade AGP visualizations, sleep-glucose correlations, activity impact analysis, and photo-based nutrition logging. The tool emphasizes privacy and security with end-to-end encryption and full data export options, offering an affordable alternative to other diabetes management solutions.

DocX is an AI-powered healthcare platform designed to empower doctors in the modern healthcare landscape. It facilitates the creation of comprehensive health plans, allows for patient subscriptions, and supports the development of healthcare communities. Leveraging advanced AI analytics, DocX enables doctors to efficiently manage thousands of patients simultaneously, streamlining operations and improving patient care. The platform introduces a 'Direct-to-Doctor' model, aiming to shift how healthcare is delivered and managed, giving doctors more ownership and control over their practice and patient interactions.

VertifyMed is an AI-powered medical application designed to assist healthcare professionals in the differential diagnosis of vertigo and dizziness. It combines guided anamnesis with eye movement tests performed on a smart device, enabling health professionals to make clear decisions at the first visit. The tool aims to simplify the complex process of diagnosing dizziness by providing a structured workflow, from patient questionnaires to physical examinations and automated machine learning analysis based on ICVD criteria. VertifyMed generates comprehensive diagnostic reports, helping clinicians diagnose faster, refer patients to the correct specialists, and reduce paperwork. It is currently under development and intended to be a CE-certified iOS and Android medical app.

PeraHealth: The Rothman Index is an FDA-cleared artificial intelligence predictive analytics system designed to improve patient outcomes by detecting early signs of deterioration. It automatically extracts and analyzes constantly changing clinical measurements from Electronic Medical Records (EMR), including comprehensive nursing assessments. The system's predictive algorithms identify subtle changes over time that might otherwise go unnoticed, calculating an aggregated score of a patient's overall physiological condition. This tool is applicable across all conditions and ages, suitable for medical/surgical units, intermediate care, and intensive care locations. It supports decisions regarding care escalation, safe downgrades, and discharge readiness, and has been shown to decrease code blues, unplanned transfers, and readmissions.

cliexa is an end-to-end healthcare AI platform designed to transform both patient care and revenue performance through advanced clinical intelligence. Built on a proprietary clinical rules engine, it reads, interprets, and reasons over complex patient records to deliver real-time insights directly within existing EMR systems. By combining clinical decision support with revenue cycle optimization, cliexa helps hospitals and health systems prevent insurance claim denials while empowering providers with accurate, data-driven guidance at the point of care. Its closed-loop intelligence continuously learns from multi-source clinical and financial data, enabling seamless integration, automated documentation, and predictive insights that improve outcomes, enhance operational efficiency, and strengthen financial stability. From records to reasoning, cliexa turns fragmented healthcare data into actionable intelligence that drives smarter decisions across the entire care continuum.

Korro AI is revolutionizing children's healthcare by offering remote therapeutic support powered by multimodal AI and immersive technology. Designed for children with conditions such as Autism Spectrum Disorder, ADHD, and developmental delays, the platform provides engaging, gamified activities that support progress in occupational therapy, physical therapy, speech and language therapy, and behavioral health. Korro AI utilizes proprietary computer vision and AI to analyze a child's therapeutic engagement, generating detailed quantitative data and reports for providers. This data helps clinicians monitor adherence, assess capabilities, and personalize therapy. The immersive clinics, accessible on smartphones and tablets, offer real-time feedback and adapt difficulty levels to each child's evolving skills, ensuring consistent, high-quality care and improved outcomes.

Tapt Health is an AI scribe tool designed specifically for physical and occupational therapists, aiming to reduce documentation burden and improve patient focus. It captures audio from patient visits, transcribes it with medical accuracy, and generates structured SOAP notes. The platform is EMR/HEP agnostic, integrating seamlessly with existing systems like WebPT, Prompt, NetHealth, Raintree, and Jane App. Tapt Health supports over 75 languages for transcription and ensures HIPAA compliance with robust data security measures. It helps therapists save significant time on paperwork, allowing them to dedicate more attention to patient care and potentially increase billing efficiency.

Floy GmbH leverages artificial intelligence to enhance the analysis of radiological images, providing comprehensive health screenings and diagnostic assistance. The platform helps radiologists identify subtle changes and additional findings that might be missed during routine examinations, such as early detection of osteoporosis, assessment of cardiovascular risk, and identification of incidental findings. Floy's AI-powered system supports radiologists in routine reporting, offering precise organ measurements, tumor tracking over time, and objective joint status evaluations. The FloyReport consolidates all examination results into a clear, unified document, improving diagnostic accuracy and enabling earlier diagnoses and timely treatment for patients. Floy is scientifically validated, clinically tested, and extensively certified, with its AI trained on over 17 million medical examinations.

SafelyYou is a world-leading AI platform designed to revolutionize care in senior living facilities. It leverages advanced AI video technology to detect falls and on-the-ground events with high accuracy, aiming to significantly reduce falls and fall-related ER visits. The platform includes SafelyYou Halo™ for building-wide safety and next-gen eCall, SafelyYou Safety AI™ for fall reduction, SafelyYou Staffing AI™ for community-wide care tracking and labor alignment, and SafelyYou Wellness AI™ for deep resident well-being insights. SafelyYou also provides Guardian™ devices for reliable care delivery and offers integrations with EHR systems like Yardi, ALIS, and PCC, with more coming soon. The technology is scientifically proven, with studies showing a 40% reduction in falls and an 80% reduction in fall-related ER visits, leading to increased length of stay and improved profitability for senior living communities.

SpineDAO is a DeSci (Decentralized Science) project focused on accelerating spine health from diagnosis to recovery. It leverages AI tools, large language models (LLMs), and medtech solutions to transform back pain care. The platform aims to create a modular Spine AI Suite, including models like Vertebra-1W for wellness support and Filter for referral intelligence. SpineDAO also develops software spin-offs like Vector for clinical appointment planning and Lamina for patient information and daily spine health. The mission is to provide quicker, more efficient, and personalized spine care to over 600 million individuals worldwide through decentralized and AI-powered solutions, fostering a future where data-informed care empowers both patients and practitioners.

AZmed provides an AI-driven radiology platform designed to streamline diagnostic workflows and improve operational throughput for healthcare professionals. Leveraging advanced AI algorithms and machine learning, its systems rapidly interpret imaging data within real-world clinical practice. Key offerings include AZtrauma for fracture detection, AZchest for identifying chest abnormalities, AZmeasure for osteo-articular measurements, and AZboneage for bone age assessment. The platform aims to enable early detection of pathology, reduce false positive rates, and guide more precise treatment plans, ultimately enhancing care quality and fostering more sustainable radiology workflows. It has been rigorously validated by leading institutions and is deployed in over 55 countries.

AutoScribe by Mutuo Health Solutions is an AI-powered digital assistant designed to streamline medical documentation for healthcare professionals. It transcribes clinician-patient conversations in real-time and automatically generates detailed medical notes, significantly reducing the administrative burden. The platform is HIPAA, PIPEDA, and PHIPA compliant, ensuring patient data privacy and security with Canadian-based data storage. AutoScribe integrates seamlessly with leading EMR systems like PS Suite, Oscar EMR, Cerner, and Epic, syncing transcriptions directly. It features customizable templates, learns from a user's unique writing style, and can generate real-time visit summaries and action items. For Ontario subscribers, it also predicts and completes diagnostic and billing codes, aiming to save doctors substantial time and increase annual earnings.

Smart Reporting GmbH, operating as Jacobian, provides a cutting-edge digital health solution for structured medical reporting, primarily for radiologists. The platform integrates proven reporting workflows, industry-best speech recognition (Fluency for Imaging, ranked #1 Best in KLAS five years in a row), and embedded AI to enhance efficiency and accuracy. It enables structured, interoperable, and guideline-based reporting built on coded data models and AI, ensuring reliable and standardized output. Jacobian's solutions offer intelligent assistance with explainable AI, contextual understanding through disease-specific models, and responsible innovation with built-in guardrails for safety and compliance. The platform also features a connected ecosystem that integrates with existing systems like RIS, PACS, and EMRs, partnering with major providers such as Siemens, Canon, and GE.

FDNA is a leading AI-powered platform specializing in image analysis for the early detection and management of developmental and genetic disorders. It serves healthcare professionals, parents, and pharmaceutical companies by providing decision support tools for diagnosis and care management. The platform leverages a comprehensive database of phenotypic information and multi-modal algorithms, including Deep Gestalt® for syndrome mapping and Gestalt Matcher™ for discovering new syndromes. FDNA's technology is used in over 10,000 medical centers worldwide, supporting the patient's journey from early signs to treatment plans and facilitating interoperability between healthcare providers, patients, and the pharmaceutical industry.

Ally Cares provides an AI-powered resident acoustic monitoring system specifically designed for care homes. The system utilizes sensors and artificial intelligence to monitor residents discreetly during the night, detecting changes in sleep patterns, activity, and calls for help. This technology allows staff to respond only when necessary, eliminating disruptive routine checks and significantly improving residents' sleep quality. Care homes using Ally have reported substantial reductions in bedroom falls and hospital visits, alongside increased staff efficiency and satisfaction. The system is easy to install, secure, and provides immediate benefits for residents, staff, and care home owners, offering a strong return on investment through improved care outcomes and operational savings.

Predikta provides innovative, intelligent, and scientific diagnostic solutions by integrating artificial intelligence with thermography and high-precision imaging. The platform offers rapid, precise, and non-invasive diagnostic support, with predictive models scientifically validated and registered with ANVISA. Predikta's system comprises the Predikta Station, a data collection unit with a thermal sensor and embedded software for anamnesis and thermal imaging, and Predikta Dash, a cloud-based web application for data display, comparison, analysis, and storage. These solutions are applicable across human and animal health, agriculture, and engineering, transforming data into actionable, real-time predictive diagnostics.

AI TALOS specializes in creating advanced AI-powered solutions tailored for the healthcare and beauty sectors. The platform features an AI model designed for breast cancer pre-screening, utilizing thermography to assist in early detection efforts. Additionally, AI TALOS provides a sophisticated Face Age tool that analyzes facial features to offer personalized anti-aging recommendations. These recommendations are based on comprehensive cosmetic and dermatological routines, aiming to provide users with targeted advice for maintaining youthful skin. The tool aims to leverage artificial intelligence to enhance diagnostic capabilities and personalize beauty care.

BioMind is an AI-powered platform designed to revolutionize healthcare by equipping medical experts with sophisticated deep learning analytics. Its core mission is to facilitate rapid and precise diagnoses, significantly lower healthcare costs, and broaden access to high-quality medical services. The platform empowers doctors with state-of-the-art tools for medical analysis, leveraging artificial intelligence to process complex medical data and provide actionable insights. This technology is geared towards enhancing the diagnostic capabilities of healthcare professionals, ultimately leading to better patient outcomes and a more efficient healthcare system.

The Multi-Agent-Medical-Assistant is an AI-powered chatbot designed to assist with medical diagnosis, research, and patient interactions. It leverages a multi-agent intelligence system, integrating Large Language Models (LLMs), Computer Vision Models for medical imaging analysis, Retrieval-Augmented Generation (RAG) with vector databases, and real-time Web Search for up-to-date medical insights. Key features include a multi-agent architecture for diagnosis and information retrieval, advanced RAG with Docling for document parsing, and confidence-based routing. It also offers medical imaging analysis for brain tumor detection, chest X-ray classification, and skin lesion segmentation, alongside voice interaction capabilities and human-in-the-loop verification for expert oversight.

DeepEcho is a healthtech company leveraging Artificial Intelligence and Deep Learning to revolutionize prenatal and maternal care. The tool mimics the actions of a trained sonographer, providing computer-assisted ultrasound diagnosis to radiologists and minimally trained clinicians. Its core technology includes automated fetal measurements, teleguidance, and remote diagnosis capabilities. DeepEcho aims to prevent birth defects, address preterm birth, and low birth weight outcomes by offering fast screening (3 to 5 times faster) with over 95% accuracy. The solution is scalable and hardware-agnostic, designed to democratize quality ultrasound globally and ensure high-quality maternal and newborn health care.

Ephion Health is a digital health platform that integrates data from wearables, clinical reports, and Artificial Intelligence to provide precise and sensitive patient assessment. It measures functional capacity through an easy-to-use, hardware-agnostic platform, offering user-tailored apps and customizable data sources. The system captures biomechanical and physiological data, clinical reports, and patient-reported outcomes, analyzing them with AI algorithms to return a composite score of patient functional capacity. This enables objective insights for enhanced care, efficient patient record management, and robust digital endpoints for clinical trials, addressing challenges in current assessment methods for various conditions like neuromuscular diseases and frailty.

EyRIS develops AI Deep Learning Systems (DLS) for the healthcare industry, specifically focusing on ophthalmology. Their DLS solution performs automated image analysis of retinal scans to detect referable diabetic retinopathy (DR), possible glaucoma suspect (GS), and age-related macular degeneration (AMD). The system is trained and validated using nearly 500,000 retinal images, ensuring reliable and accurate assessments. EyRIS aims to provide automated early detection of retinal diseases, improve healthcare productivity, and lower healthcare costs, transforming AI vision into reality for medical professionals.