Search Tag: Medical AI
2025 02 Dec
Clinical decisions are often made with incomplete evidence in notes and records, which increases the risk of error when key findings are missing or inconclusive. Diagnosis support that simply produces labels without transparent reasoning is difficult to trust in these conditions. An uncertainty-aware approach that recognises when evidence is insufficient...Read more
2025 02 Dec
Clinical decisions are often made with incomplete evidence in notes and records, which increases the risk of error when key findings are missing or inconclusive. Diagnosis support that simply produces labels without transparent reasoning is difficult to trust in these conditions. An uncertainty-aware approach that recognises when evidence is insufficient...Read more
2025 02 Dec
Clinical decisions are often made with incomplete evidence in notes and records, which increases the risk of error when key findings are missing or inconclusive. Diagnosis support that simply produces labels without transparent reasoning is difficult to trust in these conditions. An uncertainty-aware approach that recognises when evidence is insufficient...Read more
2025 02 Dec
Low-dose computed tomography (LDCT) has expanded lung cancer screening (LCS) but increased pressure on radiology services. An automated artificial intelligence approach was evaluated against human reading for baseline LDCT outcomes classified using LungRADS v1.1. The analysis drew on 4104 baseline LDCTs from a single-centre cohort of heavy current...Read more
2025 02 Dec
Low-dose computed tomography (LDCT) has expanded lung cancer screening (LCS) but increased pressure on radiology services. An automated artificial intelligence approach was evaluated against human reading for baseline LDCT outcomes classified using LungRADS v1.1. The analysis drew on 4104 baseline LDCTs from a single-centre cohort of heavy current...Read more
2025 07 Nov
Artificial intelligence–generated content (AIGC) is advancing rapidly across nuclear medicine imaging (NMI), promising software-based gains in denoising, motion correction, attenuation correction and cross-modality translation. These approaches may streamline workflows, reduce radiation exposure and improve quantitative accuracy. Alongside these...Read more
2025 04 Nov
AI is moving quickly into healthcare, but value depends on disciplined adoption rather than broad experimentation. Organisations need to start from defined operational problems, choose tools that address them, and measure outcomes that matter for patients and staff. Effective programmes pair human-in-the-loop oversight with targeted pilots, so...Read more
2025 04 Nov
AI is moving quickly into healthcare, but value depends on disciplined adoption rather than broad experimentation. Organisations need to start from defined operational problems, choose tools that address them, and measure outcomes that matter for patients and staff. Effective programmes pair human-in-the-loop oversight with targeted pilots, so...Read more
2025 01 Oct
Sepsis frequently results in acute kidney injury, prolonging hospital stay and increasing mortality risk. Incidence estimates range from 35–50% in sepsis and rise to 50–70% in intensive care. Early prediction remains difficult because current approaches rely on blood and urine tests that can be costly, variable and not always available in time...Read more
2025 01 Oct
Sepsis frequently results in acute kidney injury, prolonging hospital stay and increasing mortality risk. Incidence estimates range from 35–50% in sepsis and rise to 50–70% in intensive care. Early prediction remains difficult because current approaches rely on blood and urine tests that can be costly, variable and not always available in time...Read more
2025 21 Sep
Whole slide images in digital pathology capture detailed tissue morphology but their gigapixel scale creates computational and annotation barriers for routine automation. A multimodal approach that combines these images with information contained in pathology reports promises gains in accuracy and consistency without exhaustive pixel-level labels....Read more
2025 21 Sep
Whole slide images in digital pathology capture detailed tissue morphology but their gigapixel scale creates computational and annotation barriers for routine automation. A multimodal approach that combines these images with information contained in pathology reports promises gains in accuracy and consistency without exhaustive pixel-level labels....Read more
2025 21 Sep
Whole slide images in digital pathology capture detailed tissue morphology but their gigapixel scale creates computational and annotation barriers for routine automation. A multimodal approach that combines these images with information contained in pathology reports promises gains in accuracy and consistency without exhaustive pixel-level labels....Read more
2025 25 Aug
Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, largely due to its frequent diagnosis at advanced stages. While contrast-enhanced computed tomography remains the standard imaging method for pancreatic cancer evaluation, nearly 40% of early-stage tumours can still go undetected. Deep learning approaches have emerged...Read more
2025 18 Aug
Artificial intelligence is at the heart of many of today’s most ambitious startups. While new ventures span diverse industries from defence to creative design, healthcare stands out as a field where AI applications are already addressing pressing challenges. Startups are combining data analytics, automation and natural language processing to improve...Read more
2025 18 Aug
Artificial intelligence is at the heart of many of today’s most ambitious startups. While new ventures span diverse industries from defence to creative design, healthcare stands out as a field where AI applications are already addressing pressing challenges. Startups are combining data analytics, automation and natural language processing to improve...Read more
2025 18 Aug
Artificial intelligence is at the heart of many of today’s most ambitious startups. While new ventures span diverse industries from defence to creative design, healthcare stands out as a field where AI applications are already addressing pressing challenges. Startups are combining data analytics, automation and natural language processing to improve...Read more
2025 18 Aug
Artificial intelligence is at the heart of many of today’s most ambitious startups. While new ventures span diverse industries from defence to creative design, healthcare stands out as a field where AI applications are already addressing pressing challenges. Startups are combining data analytics, automation and natural language processing to improve...Read more
2025 13 Aug
Prostate cancer remains one of the most prevalent malignancies among men, with early and accurate detection being essential to improve treatment outcomes. Advances in deep learning have led to the development of diagnostic models capable of matching or even surpassing radiologists in certain tasks. These systems typically require large, diverse...Read more
2025 13 Aug
Prostate cancer remains one of the most prevalent malignancies among men, with early and accurate detection being essential to improve treatment outcomes. Advances in deep learning have led to the development of diagnostic models capable of matching or even surpassing radiologists in certain tasks. These systems typically require large, diverse...Read more
2025 13 Aug
Prostate cancer remains one of the most prevalent malignancies among men, with early and accurate detection being essential to improve treatment outcomes. Advances in deep learning have led to the development of diagnostic models capable of matching or even surpassing radiologists in certain tasks. These systems typically require large, diverse...Read more
2025 22 Jul
Artificial intelligence is becoming increasingly embedded in medical care, offering benefits across diagnostic, therapeutic and administrative domains. While much attention has been given to attitudes towards AI tools themselves, less is known about how AI use affects the perception of physicians who implement it in their practice. Recent online...Read more
2025 21 Jul
Health disparities persist across global healthcare systems, particularly within primary care. These inequities often stem from systemic factors such as socioeconomic status, race, geography and digital exclusion. Artificial intelligence presents a potential catalyst for transformation, offering the means to improve diagnostic accuracy, extend...Read more
2025 20 Jul
Accurate protocol selection for abdominal CT examinations is a critical component of radiology practice. Appropriate configuration of acquisition parameters and effective use of contrast media depend on choosing the correct protocol, which directly influences diagnostic precision and clinical outcomes. Despite its importance, the task of protocolling...Read more
2025 01 Jul
Prostate cancer remains a major global health issue for men, and timely diagnosis is vital to ensuring effective treatment. Accurate segmentation of prostate cancer (PCa) lesions on MRI scans is a critical step in evaluating tumour extent, guiding biopsies and supporting treatment decisions. While magnetic resonance imaging (MRI) has proven effective...Read more
2025 22 Jun
Artificial intelligence (AI) holds considerable promise for transforming healthcare through earlier diagnoses, more efficient care delivery and tailored treatments. However, despite rapid technological advances, few AI systems are successfully integrated into clinical settings. This persistent translational gap is driven not by a lack of accuracy...Read more
2025 22 Jun
Artificial intelligence (AI) holds considerable promise for transforming healthcare through earlier diagnoses, more efficient care delivery and tailored treatments. However, despite rapid technological advances, few AI systems are successfully integrated into clinical settings. This persistent translational gap is driven not by a lack of accuracy...Read more
2025 22 Jun
Artificial intelligence (AI) holds considerable promise for transforming healthcare through earlier diagnoses, more efficient care delivery and tailored treatments. However, despite rapid technological advances, few AI systems are successfully integrated into clinical settings. This persistent translational gap is driven not by a lack of accuracy...Read more
2025 15 Jun
Magnetic resonance imaging (MRI) plays a vital role in breast cancer screening by providing highly detailed anatomical and physiological images without exposing patients to ionising radiation. Despite its clinical value, breast MRI is underused in screening due to long scan times, high costs and reduced patient throughput. Traditional MRI protocols...Read more
2025 31 May
Healthcare leaders today face the dual challenge of enhancing patient outcomes while maintaining operational efficiency. At the intersection of these objectives stands the Clinical Decision Support System (CDSS), a technology capable of delivering timely, evidence-based insights that support clinical judgement. When integrated correctly, CDSS...Read more