Search Tag: Healthcare AI
2025 13 May
Artificial intelligence is already deeply embedded in healthcare systems, shaping decision-making processes from diagnosis to treatment recommendations. The emergence of foundation model-based chatbots and large language models has intensified the integration of AI into clinical workflows. However, alongside the growing adoption of AI comes an...Read more
2025 13 May
Thyroid nodules are common and often benign, yet their evaluation frequently leads to overdiagnosis and unnecessary invasive procedures. Traditional diagnostic approaches such as ultrasound imaging and fine-needle aspiration biopsies are limited by their reliance on radiologist experience and subjectivity. Although artificial intelligence has...Read more
2025 01 Apr
Artificial Neural Networks (ANNs) are playing an increasingly vital role in modern healthcare. From assisting in disease diagnosis to enhancing image analysis and summarising complex medical records, ANNs are transforming clinical workflows and influencing clinical decision-making. Without at least a basic understanding of how these systems operate,...Read more
2025 25 Mar
The increasing integration of artificial intelligence in healthcare and life sciences is fundamentally reshaping industries. One of the key aspects driving this transformation is the growing demand for high-quality, real-world data (RWD). As AI continues to evolve, its success is closely tied to the availability and management of authentic, comprehensive...Read more
2025 10 Mar
The rise of artificial intelligence in healthcare has made data governance more critical than ever. AI-driven insights are only as reliable as the data they are built upon, making accuracy, security and integrity essential components of healthcare data management. Despite AI’s potential to transform clinical care and operational efficiency, many...Read more
2025 03 Mar
KPMG's Global Tech Report: Healthcare Insights highlights the ongoing digital transformation in the healthcare sector, which is driven by technological advancements, data integration and artificial intelligence. These innovations offer opportunities to enhance patient experiences, improve operational efficiency and reduce costs. However, healthcare...Read more
2025 24 Feb
The integration of artificial intelligence into electronic health records (EHR) is transforming healthcare by improving workflow, clinical decision support and patient care. Despite the accelerated adoption of AI, challenges remain, often due to misaligned organisational priorities rather than technological issues. Many healthcare providers invest...Read more
2025 18 Feb
The adoption of ambient speech technology in healthcare is accelerating, particularly in ambulatory settings. As vendors expand integration capabilities and enhance clinician satisfaction, the market for these tools is becoming increasingly competitive. A recent KLAS report provides insights into vendor performance, clinician adoption trends and...Read more
2025 04 Feb
The integration of generative artificial intelligence into healthcare is transforming how medical professionals access, analyse and utilise information. Large language models (LLMs) offer significant advantages in research, patient education and clinical documentation. However, they often lack the precision required for complex healthcare inquiries...Read more
2025 10 Jan
Effective collaboration tools are crucial for healthcare organisations aiming to improve patient care and operational efficiency. With ease of access being a key factor for patients seeking providers, implementing an integrated collaboration strategy can significantly enhance service delivery and patient satisfaction. The right tools can streamline...Read more
2024 04 Nov
The increasing reliance on data-driven insights in healthcare has amplified the need for comprehensive, high-quality datasets. However, acquiring health data poses significant challenges due to ethical, legal and practical constraints. Privacy concerns, the rarity of some diseases and the rapid evolution of health conditions such as COVID-19 limit...Read more
2024 27 Oct
In the rapidly evolving field of artificial intelligence (AI) research, especially within healthcare, it is critical to ensure transparency, reliability and reproducibility. Although procedural and reporting guidelines aim to structure and communicate scientific findings, the challenges of data leakage and reproducibility issues persist. The FAIR...Read more
2024 08 Sep
Introduction Ambient listening, originally designed to streamline clinical documentation, is now emerging as a powerful tool in healthcare to alleviate administrative burdens and improve decision-making. By leveraging natural language processing (NLP) and artificial intelligence (AI), ambient listening goes beyond simple dictation, automating tasks...Read more
2024 13 Jun
Many organisations are adopting AI for revenue cycle management due to workforce shortages and rising costs. However, selecting the right AI solution amidst a crowded market can be daunting. Six crucial criteria for evaluating AI options can be outlined to aid health system leaders in making confident decisions. These include technological capabilities,...Read more