Search Tag: healthcare AI
2025 17 May
The adoption of large language models (LLMs) in healthcare has revealed promising opportunities for extracting structured information from unstructured clinical notes. However, widespread deployment faces barriers including computational cost, privacy concerns and dependence on proprietary models. To overcome these challenges, synthetic data distillation...Read more
2025 16 May
Modern healthcare excels in measuring vital signs, tracking diagnostics and organising clinical workflows. Yet, in doing so, it often neglects the very people at the centre of care — patients and their caregivers. Their lived experiences, emotional journeys and personal struggles are reduced to impersonal data points in electronic health records....Read more
2025 16 May
Modern healthcare excels in measuring vital signs, tracking diagnostics and organising clinical workflows. Yet, in doing so, it often neglects the very people at the centre of care — patients and their caregivers. Their lived experiences, emotional journeys and personal struggles are reduced to impersonal data points in electronic health records....Read more
2025 04 May
In critical emergencies, such as disasters, accidents or conflict zones, unidentified patients frequently present in hospital settings. The inability to determine a person’s identity promptly can hinder medical decision-making and delay communication with relatives. While computed tomography (CT) is primarily used for diagnostic purposes, its...Read more
2025 20 Apr
As healthcare institutions increasingly embrace artificial intelligence (AI), many assume that the primary challenge lies within the complexity of the technology itself. However, insights shared by healthcare leaders suggest a different reality: the human elements—organisational readiness, clinical trust and focused problem-solving—are the real...Read more
2025 09 Apr
Artificial intelligence holds enormous promise for transforming healthcare, from enhancing patient outcomes to optimising administrative efficiency. However, the sector’s ability to capitalise on this potential hinges on the availability of high-quality, accessible data. Despite hospitals generating staggering amounts of information—50 petabytes...Read more
2025 09 Apr
Artificial intelligence is rapidly evolving, promising transformative outcomes across the healthcare sector. However, despite the power of modern algorithms, AI's potential remains unrealised in many settings due to a persistent and often overlooked barrier: data standardisation. Fragmented, inconsistent and unstructured data continues to stall...Read more
2025 09 Apr
Artificial intelligence is rapidly evolving, promising transformative outcomes across the healthcare sector. However, despite the power of modern algorithms, AI's potential remains unrealised in many settings due to a persistent and often overlooked barrier: data standardisation. Fragmented, inconsistent and unstructured data continues to stall...Read more
2025 09 Apr
Artificial intelligence is increasingly embedded in healthcare, often praised for its diagnostic precision and operational efficiency. However, its most profound impact may lie in an area traditionally reserved for human beings: empathy. With advancements in machine learning, the concept of empathetic AI—systems designed to detect and respond to emotional...Read more
2025 18 Mar
Artificial intelligence makes significant strides in healthcare, and one of the most impactful innovations is the AI scribe. Designed to streamline documentation, AI scribes convert doctor-patient conversations into structured notes for electronic health records (EHRs). By reducing the administrative burden on physicians, AI scribes enhance efficiency,...Read more
2025 18 Mar
Artificial intelligence makes significant strides in healthcare, and one of the most impactful innovations is the AI scribe. Designed to streamline documentation, AI scribes convert doctor-patient conversations into structured notes for electronic health records (EHRs). By reducing the administrative burden on physicians, AI scribes enhance efficiency,...Read more
2025 17 Mar
The growing nursing shortage presents a critical challenge for the healthcare industry, with projections indicating a deficit of over 63,000 full-time nurses by 2030. This shortage places a significant strain on healthcare systems, increasing workloads for existing staff and potentially impacting patient care quality. To mitigate this issue, technological...Read more
2024 09 Dec
The development and evaluation of medical devices heavily depend on accurate simulations of patient-specific anatomies. Digital twins—computational replicas of anatomical structures—have significantly advanced this process, offering precise virtual environments to model interventions. Despite their benefits, digital twins are limited by their...Read more
2024 04 Nov
The global healthcare sector faces a severe nursing shortage, with forecasts indicating continued challenges through the next decade. Innovative AI solutions are stepping into the spotlight to address this crisis and alleviate the pressure on healthcare providers. One such solution is an AI-powered virtual concierge designed to assist hospitals...Read more
2024 14 Oct
The potential of artificial intelligence (AI) in healthcare is undeniable. From improving the quality of care to enhancing operational efficiency, AI promises transformative benefits. However, turning these promises into tangible financial returns remains an elusive goal for many healthcare organisations. Despite expectations for AI to deliver...Read more
2024 14 Oct
The potential of artificial intelligence (AI) in healthcare is undeniable. From improving the quality of care to enhancing operational efficiency, AI promises transformative benefits. However, turning these promises into tangible financial returns remains an elusive goal for many healthcare organisations. Despite expectations for AI to deliver...Read more
2024 14 Oct
The potential of artificial intelligence (AI) in healthcare is undeniable. From improving the quality of care to enhancing operational efficiency, AI promises transformative benefits. However, turning these promises into tangible financial returns remains an elusive goal for many healthcare organisations. Despite expectations for AI to deliver...Read more
2024 14 Oct
The advent of language models in healthcare has transformed text-based applications, offering possibilities to interact with and use AI for various medical tasks. However, modern medicine requires more than just understanding medical text; it is inherently multimodal. To make well-rounded decisions, healthcare professionals must integrate diverse...Read more
2024 25 Sep
AI multimodality is transforming healthcare by integrating diverse data sources for more accurate diagnostics, personalised treatments, and real-time monitoring. Its incorporation into retail healthcare enhances accessibility, efficiency, and consumer experience, positioning retail clinics as key players in the future healthcare system....Read more
2024 25 Aug
The healthcare industry is at a pivotal point where technology is increasingly being integrated to improve efficiency and patient care. Among the latest advancements is Amazon Web Services' (AWS) introduction of HealthScribe, a clinical documentation program that leverages speech recognition technology and generative artificial intelligence (AI)....Read more
2024 25 Aug
The healthcare industry is at a pivotal point where technology is increasingly being integrated to improve efficiency and patient care. Among the latest advancements is Amazon Web Services' (AWS) introduction of HealthScribe, a clinical documentation program that leverages speech recognition technology and generative artificial intelligence (AI)....Read more
2024 25 Aug
The healthcare industry is at a pivotal point where technology is increasingly being integrated to improve efficiency and patient care. Among the latest advancements is Amazon Web Services' (AWS) introduction of HealthScribe, a clinical documentation program that leverages speech recognition technology and generative artificial intelligence (AI)....Read more
2024 01 Aug
Integrating artificial intelligence (AI) into healthcare holds great promise, offering solutions to longstanding challenges in clinical care. However, the adoption of AI in healthcare has been hampered by concerns over data privacy, security, and the high costs associated with data processing. A groundbreaking approach known as confidential computing...Read more
2024 01 Aug
Integrating artificial intelligence (AI) into healthcare holds great promise, offering solutions to longstanding challenges in clinical care. However, the adoption of AI in healthcare has been hampered by concerns over data privacy, security, and the high costs associated with data processing. A groundbreaking approach known as confidential computing...Read more
2024 03 Jul
Large Language Models (LLMs) have transformed numerous industries by generating content and making predictions based on vast amounts of text data. LLMs present significant opportunities in healthcare, but these advancements come with challenges that need careful handling. Since the introduction of ChatGPT by OpenAI, the potential of LLMs in healthcare...Read more
2024 03 Jul
The American College of Radiology (ACR) has recently launched the ACR Recognised Centre for Healthcare-AI (ARCH-AI), a pioneering quality assurance programme designed to enhance the implementation and oversight of artificial intelligence in radiology. This initiative represents a significant advancement in ensuring that AI technologies are integrated...Read more
2024 03 Jul
The American College of Radiology (ACR) has recently launched the ACR Recognised Centre for Healthcare-AI (ARCH-AI), a pioneering quality assurance programme designed to enhance the implementation and oversight of artificial intelligence in radiology. This initiative represents a significant advancement in ensuring that AI technologies are integrated...Read more
2024 26 Apr
Traditional approaches to data governance are inadequate in the era of artificial intelligence and abundant data. The sheer volume of data needed for AI, the complexity of AI models, and the privacy and regulatory challenges of handling large patient datasets demand reevaluation. An effective strategy involves focusing on how AI is utilised at...Read more
2024 26 Apr
Traditional approaches to data governance are inadequate in the era of artificial intelligence and abundant data. The sheer volume of data needed for AI, the complexity of AI models, and the privacy and regulatory challenges of handling large patient datasets demand reevaluation. An effective strategy involves focusing on how AI is utilised at...Read more
2024 18 Mar
Recent advancements in artificial intelligence (AI), particularly machine learning (ML), have been successfully integrated into healthcare applications, showing promise in risk prediction, disease diagnosis, and sub-phenotyping. The widespread adoption of electronic health record (EHR) systems has provided a wealth of real-world data (RWD) for...Read more