According to a report by AMA, 66% of doctors used Artificial Intelligence (AI) to support their work, which is a massive increase from just 38%

Rising infertility rates have increased clinical workload and pressure on radiology services in OBGYN departments. Clinical workloads are expanding, more complex imaging studies are required,

Radiologists do not have to wait for image transfers or chase missing reports anymore with PACS EMR integration. It connects imaging systems and patient records

Personalized medicine is no longer a far-fetched idea but a reality in everyday healthcare. Doctors are using new tools to develop treatment regimens and devices

Bringing a new medicine to market is a long and costly process, often stretching over a decade and requiring billions of dollars in investment. Despite

Medical imaging teams are finding ways to do more with less, delivering faster turnaround times, keeping up with growing data volumes, and meeting stricter compliance

Timely imaging and accurate diagnoses are critical in the field of injury management, but still, this sector often suffers from delays due to traditional, fragmented

Almost all healthcare organizations suffer from the same issue: slow workflows that delay imaging reports and systems that don’t sync well together. These problems often

From USD 3.1B today to USD 4.9B within the next decade, the specialty PACS market is expanding exponentially, reflecting an increased demand for swift medical

What is DICOM in radiology? DICOM or Digital Imaging and Communications in Medicine is an international standard that specifies how medical images are produced, transmitted,

Medical hyperspectral imaging, or HSI for short, allows clinicians to see what standard cameras and the human eye cannot. Instead of just capturing static images,

On average, a hospital generates imaging data of around 50 petabytes per annum, and approximately 80% of that comes from medical imaging like X-rays, MRIs,

For decades, medical imaging has been about taking still pictures of a patient’s body to find diseases, plan treatments, or check on their recovery. This

Pharmaceutical companies are turning to GenAI to accelerate drug development and extract more value from their datasets. Generative AI in pharma offers a clear competitive

Artificial intelligence is changing how radiologists look at, read, and evaluate diagnostic images like X-rays, MRIs, and CT scans. AI in radiology offers a striking

Clinician burnout and documentation overload are two of the most pressing issues in healthcare. Microsoft has developed two distinct AI-powered solutions: DAX Copilot and Dragon

Computer vision was once a futuristic concept, but not anymore! It has taken over the healthcare industry, yielding many benefits. Early disease detection, diagnostic accuracy,

Counseling has been one of the most effective ways to support people facing mental health challenges. Still, almost half of those who could benefit from

Thanks to cool new digital health technologies, the healthcare world has seen incredible changes over the past few years. And guess what? It’s not just

Medical transcription (MT) involves converting voice reports from physicians and other healthcare professionals into text format. This process is crucial for various aspects of healthcare,

Artificial intelligence (AI) has revolutionized various industries, and personalized healthcare is no exception. This blog will explore how AI can be leveraged to personalize care

Artificial Intelligence (AI) is transforming modern healthcare. It analyzes massive amounts of medical data quickly and accurately, addressing delayed diagnoses, treatment inefficiencies, and resource limitations.

In the rapidly evolving field of healthcare, Radiology Information Systems (RIS) are not just tools but transformative solutions that can significantly enhance the efficiency and

Industry jargon may sound alien to people outside that community or industry. When it comes to the medical field, it becomes more complex and challenging

Population health management is an active approach to improving health outcomes for all communities and has gained high attention in recent years. With challenges like

The healthcare industry is transforming, driven by the rapid advancements in generative artificial intelligence (AI) technology. It is crucial to understand how to leverage these

The energy at thINc360 2024 drew over 900 healthcare leaders and decision-makers interested in finding and sharing state-of-the-art healthcare innovation, which was nothing short of

Natural Language Processing, also known as  NLP, has emerged as a disruptive technology in the medical field. NLP processes and interprets data related to human

Imagine a world where insurance companies can accurately predict risks, detect fraud, and understand their customers’ needs before they even do. This is the power

Predictive modeling has emerged as a game-changer, revolutionizing decision-making processes and significantly improving patient outcomes in healthcare. By leveraging the predictive capabilities of data analytics,

The world of medical advancements is an ever-changing field where every step forward can significantly influence society’s healthcare. Clinical trials are the cornerstone of medical

Unraveling Risk Stratification: Key to Population Health Management Risk stratification is a method for categorizing patients based on their potential health risks. This process allows

RPA in Healthcare: Defining Use Cases, Benefits, and Challenges As we know, the healthcare industry is continually evolving. Tangible steps are being taken to improve

Role of Artificial Intelligence in Personalized AI Cancer Treatment In the relentless fight against cancer, personalized medicine has emerged as a promising approach. This treatment

Key Strategies to Manage Cost Through Predictive Analytics in Healthcare Did you know the average American family spends more on healthcare than food? The healthcare

A tedious task of manual testing can be done in a fraction of the time with significantly improved defect detection 28% more pre-release. AI in

Algorithms are not just processing data anymore, but actively changing the future of well-being. From early disease detection through data analysis, deep learning, and predictive

Overview of Skin Cancer Detection Using Convolutional Neural Networks Are you looking for Skin cancer detection? Let’s dive in. The past few years have been

Healthcare delivery is shifting to digital-first solutions, and AI chatbots are becoming an integral part of that change. It is no longer basic Q&A anymore

AI in healthcare is often discussed in vague, futuristic terms like “improving patient care” or “streamlining workflows,”  making it sound like something far off. But

AI in healthcare is both an opportunity and a challenge, with benefits that are undeniable. However, the major roadblock in its widespread adoption is the

An Overview of Machine Learning in Healthcare and its Potential Doctors and healthcare professionals use machine learning (ML) as a tool to care for patients

Artificial intelligence simplifies the tasks that humans do, but in less time and at a fraction of the cost. It is reinvigorating modern healthcare via

Although healthcare was always an important industry, ever since the beginning of the pandemic, it has become increasingly vital for survival. With 7.9 billion people