Search Tag: Artificial Intelligence
2025 07 Jan
Healthcare systems face challenges like increasing patient loads, rising costs, and staff shortages, which hinder consistent, high-quality care. Without integrating artificial intelligence (AI), these issues could worsen, leading to greater disparities in access and care quality. AI offers transformative potential by automating administrative tasks,...Read more
2024 16 Dec
Artificial intelligence (AI) is rapidly becoming a cornerstone of innovation across industries, and healthcare is no exception. With its ability to process vast amounts of data and execute tasks with unparalleled precision, AI offers promising opportunities to improve both operational efficiency and clinical outcomes. Despite its early successes,...Read more
2024 16 Dec
Artificial intelligence (AI) is rapidly becoming a cornerstone of innovation across industries, and healthcare is no exception. With its ability to process vast amounts of data and execute tasks with unparalleled precision, AI offers promising opportunities to improve both operational efficiency and clinical outcomes. Despite its early successes,...Read more
2024 09 Dec
Breast cancer is among the most prevalent and fatal diseases affecting women worldwide. Early detection is critical in improving survival rates, as timely diagnosis enables effective treatment at less advanced stages. While traditional diagnostic tools such as mammography and ultrasound have significantly contributed to early detection efforts,...Read more
2024 09 Dec
Breast cancer is among the most prevalent and fatal diseases affecting women worldwide. Early detection is critical in improving survival rates, as timely diagnosis enables effective treatment at less advanced stages. While traditional diagnostic tools such as mammography and ultrasound have significantly contributed to early detection efforts,...Read more
2024 02 Dec
The healthcare sector is undergoing a profound transformation as organisations increasingly view artificial intelligence (AI) as a strategic investment rather than just a technological advancement. With 73% of healthcare payers and providers increasing their financial commitments to AI, the focus is shifting towards leveraging the technology to...Read more
2024 02 Dec
The healthcare sector is undergoing a profound transformation as organisations increasingly view artificial intelligence (AI) as a strategic investment rather than just a technological advancement. With 73% of healthcare payers and providers increasing their financial commitments to AI, the focus is shifting towards leveraging the technology to...Read more
2024 02 Dec
The healthcare sector is undergoing a profound transformation as organisations increasingly view artificial intelligence (AI) as a strategic investment rather than just a technological advancement. With 73% of healthcare payers and providers increasing their financial commitments to AI, the focus is shifting towards leveraging the technology to...Read more
2024 04 Nov
The integration of Artificial Intelligence (AI) into healthcare has sparked both excitement and apprehension. While AI has demonstrated its potential to enhance healthcare processes, numerous myths about its capabilities and limitations persist. Understanding these misconceptions is essential for stakeholders to fully appreciate AI's realistic...Read more
2024 28 Oct
Value-based care (VBC) is becoming increasingly essential in healthcare, focusing on measuring and managing care quality, outcomes and costs. Unlike traditional fee-for-service models that reward volume, VBC aims to tie reimbursement to quality metrics and patient outcomes. This shift requires healthcare providers to embrace a data-driven approach....Read more
2024 21 Oct
Artificial intelligence (AI) has become a transformative force in many industries, and its impact on healthcare, particularly medical imaging, is profound. As healthcare systems struggle with growing patient numbers and limited staff, integrating AI into clinical workflows offers potential solutions to enhance efficiency and alleviate the burden...Read more
2024 21 Oct
Artificial intelligence (AI) has become a transformative force in many industries, and its impact on healthcare, particularly medical imaging, is profound. As healthcare systems struggle with growing patient numbers and limited staff, integrating AI into clinical workflows offers potential solutions to enhance efficiency and alleviate the burden...Read more
2024 21 Oct
Artificial intelligence (AI) has become a transformative force in many industries, and its impact on healthcare, particularly medical imaging, is profound. As healthcare systems struggle with growing patient numbers and limited staff, integrating AI into clinical workflows offers potential solutions to enhance efficiency and alleviate the burden...Read more
2024 06 Oct
Magnetic Resonance Imaging (MRI) is a widely used diagnostic tool that offers detailed visualisation of internal body structures. However, the process is often time-consuming, presenting economic and practical challenges. Efforts to improve the speed and efficiency of MRI scans have led to the use of parallel imaging (PI) and other acceleration...Read more
2024 23 Sep
Artificial intelligence (AI) has transformed healthcare by enabling more precise and efficient diagnostics. AI is showing significant promise in interpreting chest CT scans, especially for detecting incidental findings beyond the lungs, such as cardiovascular abnormalities. Chest CT scans, widely used for lung cancer screening, capture more than...Read more
2024 23 Sep
Artificial intelligence (AI) has transformed healthcare by enabling more precise and efficient diagnostics. AI is showing significant promise in interpreting chest CT scans, especially for detecting incidental findings beyond the lungs, such as cardiovascular abnormalities. Chest CT scans, widely used for lung cancer screening, capture more than...Read more
2024 02 Sep
In recent years, the use of patient portals for communication between healthcare providers and patients has surged, driven by the increasing adoption of electronic health records (EHRs) and the demand for more accessible healthcare. The COVID-19 pandemic further accelerated this trend, highlighting the need for efficient, timely responses to patient...Read more
2024 25 Aug
At its 45th annual User’s Group Meeting (UGM), Epic, the largest electronic health record (EHR) vendor, unveiled an ambitious strategy centred around artificial intelligence (AI). The event, attended by healthcare professionals from across the globe, highlighted the company's current AI implementations and its future plans to enhance inpatient...Read more
2024 25 Aug
The rising incidence of renal cell carcinoma in Western populations, coupled with advancements in radiological imaging, has led to increased detection of renal tumours, particularly small renal masses (SRMs). While this improved detection offers potential for early intervention, it also raises concerns about overdiagnosis and overtreatment. Accurate...Read more
2024 25 Aug
The rising incidence of renal cell carcinoma in Western populations, coupled with advancements in radiological imaging, has led to increased detection of renal tumours, particularly small renal masses (SRMs). While this improved detection offers potential for early intervention, it also raises concerns about overdiagnosis and overtreatment. Accurate...Read more
2024 06 Aug
Clinicians typically use 12-lead electrocardiograms (ECGs) to diagnose heart conditions such as heart attacks and rhythm disturbances. These ECGs involve a complex arrangement of electrodes and wires placed on the chest and limbs to detect the heart’s electrical activity. However, this requires specialised equipment and expertise, which may not be...Read more
2024 05 Aug
Medical decision systems powered by artificial intelligence (AI) are widely used in healthcare. The rapid development and commercialisation of these systems outpace the understanding of their clinical value, creating an "AI chasm." This gap is due to various technical and logistical challenges and issues in clinical implementation. The relationship...Read more
2024 10 Jul
Artificial intelligence (AI) has made remarkable strides in recent years, particularly with the development of large language models (LLMs) such as OpenAI’s GPT-3.5 and GPT-4. These models, trained on extensive datasets using deep neural networks, have shown impressive capabilities in various fields, including medicine and radiology. GPT-4, a multimodal...Read more
2024 10 Jul
Artificial intelligence (AI) has made remarkable strides in recent years, particularly with the development of large language models (LLMs) such as OpenAI’s GPT-3.5 and GPT-4. These models, trained on extensive datasets using deep neural networks, have shown impressive capabilities in various fields, including medicine and radiology. GPT-4, a multimodal...Read more
2024 15 Jun
Sepsis is a life-threatening complication causing nearly 1.7 million hospitalisations and 350,000 deaths annually in the U.S. Rapid and accurate diagnosis is critical, as the risk of mortality increases by up to 8% for each hour that effective treatment is delayed. Currently, the diagnostic standard relies on culture growth, which typically takes...Read more
2024 14 Jun
Deploying and evaluating a machine learning intervention to improve clinical care and patient outcomes is a key step in moving clinical deterioration models from byte to bedside. A Mount Sinai study found that hospitalised patients were 43% more likely to have their care escalated and significantly less likely to die if their care team received...Read more
2024 12 Jun
In a new study, researchers at the Icahn School of Medicine at Mount Sinai have identified coding variants in 17 genes that provide new insights into the molecular basis of coronary artery disease (CAD). The team used an advanced artificial intelligence tool to make these discoveries. Their findings are published in Nature Genetics. The...Read more
2024 04 Jun
The UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT) and UCSF Health received a $5 million donation from Ken and Kathy Hao to develop the Impact Monitoring Platform for AI in Clinical Care (IMPACC). This platform aims to provide a continuous, real-time, and automated evaluation of AI technologies used in clinical settings,...Read more