Search Tag: diagnostic accuracy
2025 17 Nov
Radiolucent foreign body aspiration (FBA) is challenging to recognise on computed tomography (CT) because visual cues can be faint or ambiguous. An artificial intelligence approach has been designed to support CT assessment by combining detailed mapping of the airways with a review of multiple perspectives of each case. Development and testing...Read more
2025 17 Nov
Radiolucent foreign body aspiration (FBA) is challenging to recognise on computed tomography (CT) because visual cues can be faint or ambiguous. An artificial intelligence approach has been designed to support CT assessment by combining detailed mapping of the airways with a review of multiple perspectives of each case. Development and testing...Read more
2025 17 Nov
Radiolucent foreign body aspiration (FBA) is challenging to recognise on computed tomography (CT) because visual cues can be faint or ambiguous. An artificial intelligence approach has been designed to support CT assessment by combining detailed mapping of the airways with a review of multiple perspectives of each case. Development and testing...Read more
2025 25 Oct
Prostate-specific membrane antigen (PSMA) PET/CT has transformed prostate cancer assessment and is now embedded in guideline-recommended care. Yet the usefulness of advanced imaging depends on how consistently results are communicated. An analysis of consecutive external PSMA PET/CT reports received at a single tertiary centre highlights substantial...Read more
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...Read more
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...Read more
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...Read more
2025 29 Sep
Breast cancer remains the most common cancer in women. While incidence has been rising, mortality has declined, supported by earlier diagnosis through mammography screening. Yet performance varies, with sensitivity reported at 80–98% and falling below 70% in women with dense breast tissue. Double reading can increase detection but is challenged...Read more
2025 17 Sep
Artificial intelligence now supports reconstruction, segmentation, synthetic image generation, disease classification, triage and scheduling across radiology. Yet strong performance still depends on expert-labelled data, which are costly and slow to assemble. Active learning addresses this constraint by selecting the most informative or uncertain...Read more
2025 17 Sep
Artificial intelligence now supports reconstruction, segmentation, synthetic image generation, disease classification, triage and scheduling across radiology. Yet strong performance still depends on expert-labelled data, which are costly and slow to assemble. Active learning addresses this constraint by selecting the most informative or uncertain...Read more
2025 17 Sep
Artificial intelligence now supports reconstruction, segmentation, synthetic image generation, disease classification, triage and scheduling across radiology. Yet strong performance still depends on expert-labelled data, which are costly and slow to assemble. Active learning addresses this constraint by selecting the most informative or uncertain...Read more
2025 17 Sep
Artificial intelligence now supports reconstruction, segmentation, synthetic image generation, disease classification, triage and scheduling across radiology. Yet strong performance still depends on expert-labelled data, which are costly and slow to assemble. Active learning addresses this constraint by selecting the most informative or uncertain...Read more
2025 09 Sep
Radiology reports are fundamental to patient management, with the impression section serving as a concise summary of findings and professional interpretation. These impressions are vital for guiding clinical decisions, yet producing them is often demanding and time-consuming for radiologists. The process requires precision, consistency and the...Read more
2025 09 Sep
Radiology reports are fundamental to patient management, with the impression section serving as a concise summary of findings and professional interpretation. These impressions are vital for guiding clinical decisions, yet producing them is often demanding and time-consuming for radiologists. The process requires precision, consistency and the...Read more
2025 09 Sep
Radiology reports are fundamental to patient management, with the impression section serving as a concise summary of findings and professional interpretation. These impressions are vital for guiding clinical decisions, yet producing them is often demanding and time-consuming for radiologists. The process requires precision, consistency and the...Read more
2025 02 Sep
Magnetic resonance imaging has become central to prostate cancer diagnosis and risk stratification, yet variability in image quality can undermine clinical pathways. A multi-institutional analysis assessed how prostate imaging quality, graded with the updated Prostate Imaging Quality Score version 2 (PI-QUAL v2), affects the diagnostic performance...Read more
2025 02 Sep
Accurate identification and quantification of lung cancer lesions is critical for diagnosis, staging, treatment planning and disease monitoring. While primary tumours receive most attention in radiological evaluations, patients often present with multiple lesions that must also be assessed for a complete picture of disease burden. Traditional...Read more
2025 22 Jul
AI severity scores are increasingly integrated into radiological workflows, offering a quantifiable measure of the likelihood of pathology. While these tools have demonstrated potential in enhancing diagnostic performance, their current implementation often lacks the context necessary for accurate interpretation. The lack of clarity surrounding...Read more
2025 22 Jul
AI severity scores are increasingly integrated into radiological workflows, offering a quantifiable measure of the likelihood of pathology. While these tools have demonstrated potential in enhancing diagnostic performance, their current implementation often lacks the context necessary for accurate interpretation. The lack of clarity surrounding...Read more
2025 22 Jul
AI severity scores are increasingly integrated into radiological workflows, offering a quantifiable measure of the likelihood of pathology. While these tools have demonstrated potential in enhancing diagnostic performance, their current implementation often lacks the context necessary for accurate interpretation. The lack of clarity surrounding...Read more
2025 14 Jul
Physician fatigue poses a serious risk to decision-making quality in emergency departments, where high stakes and intense workloads are routine. Traditionally, fatigue has been measured indirectly through shift length, overnight duty or work frequency, which do not fully capture the nuanced, real-time condition of physicians during patient encounters....Read more
2025 06 Jul
Radiology departments face mounting diagnostic challenges, especially in light of increased patient volumes and radiologist shortages. Conventional radiography remains the initial modality of choice for fracture assessment, given its accessibility and cost-effectiveness. However, inherent limitations—such as modest sensitivity in certain anatomical...Read more
2025 09 Jun
The integration of artificial intelligence (AI) into clinical diagnosis has reached a pivotal stage with the emergence of large language models (LLMs). These generative AI tools have demonstrated considerable potential in various medical tasks, including diagnosis, but questions remain about how they compare to traditional expert systems. A...Read more
2025 30 May
Radiology plays a critical role in diagnosing thoracic conditions, but its effectiveness depends heavily on the clarity and accuracy of reports. Unfortunately, various sources of error—ranging from speech recognition software limitations to human interpretation biases—pose risks to patient safety and care quality. Traditional solutions, such as...Read more
2025 30 May
Women with extremely dense breast tissue face an elevated risk of breast cancer, alongside decreased mammographic sensitivity. While supplemental magnetic resonance imaging (MRI) has proven effective in detecting cancers in this population, conventional full-protocol MRI examinations are time-consuming and resource-intensive. To address this, researchers...Read more
2025 25 May
Breast cancer continues to be one of the most prevalent and deadly diseases affecting women globally. Early detection remains crucial, and mammography has long been the cornerstone of breast cancer screening programmes. However, mammographic interpretation is susceptible to high false-positive and false-negative rates, particularly in women with...Read more
2025 25 May
Breast cancer continues to be one of the most prevalent and deadly diseases affecting women globally. Early detection remains crucial, and mammography has long been the cornerstone of breast cancer screening programmes. However, mammographic interpretation is susceptible to high false-positive and false-negative rates, particularly in women with...Read more
2025 25 May
Breast cancer continues to be one of the most prevalent and deadly diseases affecting women globally. Early detection remains crucial, and mammography has long been the cornerstone of breast cancer screening programmes. However, mammographic interpretation is susceptible to high false-positive and false-negative rates, particularly in women with...Read more
2025 17 May
Ultrasound enhancing agents (UEAs) are widely used in transthoracic and stress echocardiography (TTE/SE) to improve diagnostic clarity, particularly in patients with poor endocardial border definition. Despite their benefits, recent reports have raised concerns about the safety of these agents. To assess the validity of these concerns, a large-scale...Read more
2025 14 Apr
The integration of artificial intelligence into mammographic screening workflows has the potential to enhance diagnostic accuracy, streamline clinical operations and optimise resource allocation. However, the dynamic nature of AI models, which allows them to evolve through frequent software updates, introduces new challenges in clinical governance....Read more