We propose advanced machine learning technologies, including LLMs and Generative AI solutions to analyze diverse data sources such as clinical notes, lab tests, pharmacy records, medical imaging and genomic information. It helps real-time monitoring of physiological changes to facilitate early diagnosis, make accurate predictions and improve treatment outcomes
We can help you to make faster, high-quality, data-driven decisions by AI analyzing vast amounts of information in real time. It can assist continuous patient monitoring with early detection of complications. Also integrates with existing healthcare infrastructures, adapting to new data. It helps to reduce human errors and gives you peace of mind.
We can assist you with AI prediction of patient conditions and adverse outcomes, including mortality, stroke, myocardial infarction and bone fractures by detecting stage, severity and other disease’s characteristics. AI can achieve ROC values above 0.85, highlighting its potential for personalized risk predictions and enhanced clinical decision-making.
We’ll help you to reduce variability in human interpretation in diagnostic by peer-reviewed research in fields like oncology and pathology. AI predicts treatment responses based on histopathological and molecular data. You can use it to analyze images for detecting biomarkers and quantifying morphological characteristics of tumors.
We can develop AI that integrates patient anatomy and risk factors to assist in surgical decision-making. It’ll provide real-time, data-driven insights during operations. This technology reduces reliance on cognitive shortcuts and intuition that can lead to bias. AI tools improve diagnostic accuracy and support more informed management decisions, preventing harm.
We provide you with AI-algorithms that using deep networks localize and define anatomical structures or lesions with minimal supervision. It identify and prioritize high-risk cases, allowing you to focus on images with probable abnormalities, enhancing accuracy and efficiency in diagnosis.
We adapt AI customize treatment in real-time by analyzing physiological data from biosensors and patient reports. It allows to optimize medication dosages, so that interventions are tailored to each patient’s health status and treatment response. By monitoring and adjusting therapeutic protocols, adaptive treatment enhances efficacy and improves patient outcomes.
AI helps you remotely monitor and support self-management for elderly patients with connected devices that continuously track vital health metrics. These systems allows you detect critical changes and receive alert, ensuring timely interventions and continuity of care. You’ll be able to support proactive health management, reducing hospital admissions and enhancing patient-centered care.
We can customize any Cloud Solution to fit the specific needs of your healthcare organization, including custom workflows, data analytics, and reporting capabilities.
AI can help you with cardiac imaging by auto processing of complex data in modalities like ultrasound, CT, MRI. In ECG AI can detect conditions like asymptomatic left ventricular dysfunction and silent atrial fibrillation. It is also improving nuclear cardiology, such as SPECT and myocardial perfusion imaging to enhance the detection of coronary artery disease.
We can develop AI apps for ultrasound imaging to diagnose CKD non-invasively. AI enable analyze histopathological images for kidney biopsy evaluations. This algorithms also predicts postoperative AKI risk by analyzing pre-, intro- and post-operative physiological data. Using AI in nephrology can improve prognosis, personalize treatment.
We can offer AI solutions for hepatology to enhance liver disease diagnosis and prognosis. Additionally, our predictive models assess severity and outcomes for chronic viral hepatitis and acute-on-chronic liver failure. You can use AI apps to detect alcohol-associated and genetic autoimmune liver diseases, improving diagnosis and patient care.
We adapt AI-tools to help you track mood and depression through interactions with keyboards, voice, facial recognition and sensors with chatbot. By using AI you can differentiate conditions, improve treatment accuracy and predict the outcomes. Analyzing language patterns on social media allows to predict psychiatric conditions and relapses, offering timely insights into patient mental health.
We encourage collaboration in developing AI solutions for clinical practice, prioritizing interoperability for seamless integration across healthcare systems. This strategic enables teams to create AI models that enhance patient care, improve clinical outcomes and leading to more effective healthcare delivery.
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AI reduce administrative burdens up to 50% with include maintaining records, scan analysis and data entry. AI can help with scheduling appointments and reviewing insurance.
Integrated AI has led to a 20-30% reduction in operational costs by automating administrative tasks and optimizing resource allocation.
Using AI solutions you’re reducing time up to 40% and increasing accuracy to over 90%, especially in specialties like radiology and pathology.
Using AI-algorithms has 5-10% increase in annual revenues due to improved patient engagement and streamlined service delivery.
AI olutions that increase treatment adherence rates by 25% through personalized AI-driven reminders and educational tools.
The systems and operations of your organisation are thoroughly studied by our Data engineers. We seamlessly become a part of your team. This enables increased collaboration and quicker resolution times.
Relieving the burden of managing complex clinical processes, you can redirect your internal resources to prioritize patient-centered services and drive impactful healthcare solutions.
ZenBit boasts a team of skilled data scientists with a deep understanding of healthcare applications, cloud integration and the latest industry trends in clinical technology. Our engineers specialized in optimizing clinical experience since 2017 year.
We know that transparency is essential to our clients in creating exceptional software solutions, which is why our protect managers will regularly inform your about the development process. At any convenient moment, you will be able to follow the results.
ZenBit Tech develops healthcare solutions that improve patient outcomes. Our team provide secure, interoperable systems for AI diagnostics, predictive analytics and treatment, designed to fit seamlessly into clinical environments and support high-quality patient care.
The team of regulatory experts ensures secure, compliant and reliable systems for your clinical needs. These solutions can be easy integrated into clinical environments, supporting high-quality care while adhering to industry standards.
AI can help doctors diagnose diseases faster and more accurately. It analyzes complex patient data, such as medical images, lab results and even genomic information to catch early warning signs of illnesses. AI also streamlines administrative tasks like documentation and provides tools that make personalized treatments possible with real-time recommendations.
AI improve decision-making and streamlines administrative tasks to save time and resources. It also reduces human errors, prevents fraud and provides chatbot support for patients. These capabilities lead to valuable outcomes, such as cutting administrative burdens, reducing operational costs and improving diagnostic accuracy. Additionally, AI increases revenue and enhances treatment adherence.
AI is a broad term encompassing technologies that mimic human intelligence to identify anomalies, analyze data and predict disease risks. Generative AI, for instance, can generate personalized patient reports or simulate medical scenarios. While traditional AI enhances decision-making and efficiency, generative AI adds personalization to specific needs in patient communication, prediction and treatment creation.
Recent statistics of AI in healthcare shows valuable improvements in efficiency, cost savings and clinical effectiveness. IBM emphasize AI adoption is projected to save the U.S. healthcare system approximately $200 billion annually by 2026, primarily by reducing administrative burdens and improving operational efficiency. Google determinate AI has decreased administrative costs by up to 30% with insurance authorizations, scheduling and billing. Moreover, Generative AI can reduce the time spent on manual tasks like prior authorizations by 40%–50%. Hospitals also have reported a 20%–30% improvement in workflow efficiency through better data integration and automation.
As for the clinical outcomes, UNC Kenan Institute wrote that AI systems improve diagnostic accuracy by up to 95%. Integrated AI models have reduced hospital readmissions by 30% and save an estimated $35.7 million annually in inpatient costs. Mental health and primary care settings using AI have reported a 30% reduction in hospitalization rates and change it in preventative care.
As the result, over 90% of U.S. hospitals are expected to adopt AI tools by 2026.
References:
https://kenaninstitute.unc.edu/kenan-insight/ai-integration-and-its-impact-on-clinical-labor/
https://www.ibm.com/think/insights/ai-healthcare-benefits
https://blog.google/products/google-cloud/generative-ai-healthcare-administration/
There are already many examples of Artificial Intelligence use cases in healthcare. For instance, AI can detect diseases like cancer in medical images, predict which patients might face complications after surgery and even analyze doctors’ notes to find critical issues. Wearable devices with AI help monitor patients’ health in real-time with alerts of concerning changes. Chatbots and virtual assistants also help patients get advice, book appointments or even call an ambulance.
ZenBit team joined the Synesthesia Team where we were in trouble sticking to our timeline in the development of the Synаеsthesiа Meditation App.
The collaboration was very successful. The communication was smooth, timelines were met. They are professional in cross-platform app development. The overall experience was very satisfying and I like to continue to work with them.
Deliveries are prompt, and ZenBit is forward-thinking in its execution. They are easy to work with, and they communicate well. If there is ever a gap in their knowledge, they resolve it immediately. Their team management is strong, and their suggestions are beneficial.
