Search Tag: Radiomics
2025 18 Nov
Cancers of the central nervous system (CNS) remain difficult to treat and insufficiently understood, with high morbidity and mortality. Artificial intelligence is moving into the neuro-oncological pathway, spanning prevention, diagnosis, treatment, prognostication and rehabilitation. Reported uses include image analysis, molecular characterisation,...Read more
2025 18 Nov
Cancers of the central nervous system (CNS) remain difficult to treat and insufficiently understood, with high morbidity and mortality. Artificial intelligence is moving into the neuro-oncological pathway, spanning prevention, diagnosis, treatment, prognostication and rehabilitation. Reported uses include image analysis, molecular characterisation,...Read more
2025 18 Nov
Cancers of the central nervous system (CNS) remain difficult to treat and insufficiently understood, with high morbidity and mortality. Artificial intelligence is moving into the neuro-oncological pathway, spanning prevention, diagnosis, treatment, prognostication and rehabilitation. Reported uses include image analysis, molecular characterisation,...Read more
2025 25 Oct
Distinguishing atypical lipomatous tumours (ALT) from simple lipomas (SL) on magnetic resonance imaging (MRI) influences biopsy decisions, surgical planning and follow-up. While MRI is the preferred modality for lipomatous masses, day-to-day accuracy can vary, particularly for specificity. A machine learning approach using Bayesian additive regression...Read more
2025 25 Oct
Distinguishing atypical lipomatous tumours (ALT) from simple lipomas (SL) on magnetic resonance imaging (MRI) influences biopsy decisions, surgical planning and follow-up. While MRI is the preferred modality for lipomatous masses, day-to-day accuracy can vary, particularly for specificity. A machine learning approach using Bayesian additive regression...Read more
2025 25 Oct
Distinguishing atypical lipomatous tumours (ALT) from simple lipomas (SL) on magnetic resonance imaging (MRI) influences biopsy decisions, surgical planning and follow-up. While MRI is the preferred modality for lipomatous masses, day-to-day accuracy can vary, particularly for specificity. A machine learning approach using Bayesian additive regression...Read more
2025 25 Oct
Distinguishing atypical lipomatous tumours (ALT) from simple lipomas (SL) on magnetic resonance imaging (MRI) influences biopsy decisions, surgical planning and follow-up. While MRI is the preferred modality for lipomatous masses, day-to-day accuracy can vary, particularly for specificity. A machine learning approach using Bayesian additive regression...Read more
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using convolutional...Read more
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using convolutional...Read more
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using convolutional...Read more
2025 12 Sep
Chronic obstructive pulmonary disease is heterogeneous, with emphysema, chronic bronchitis and recurrent exacerbations driving morbidity. Global cases among adults are projected to rise by 23% from 2020 to 2050, approaching 600 million, underscoring the need for tools that characterise disease beyond spirometry. Chest CT has become central to...Read more
2025 25 Aug
Lung cancer remains the most common cancer worldwide, with non-small cell lung cancer accounting for the majority of cases. Among these, lung adenocarcinoma is often characterised by epidermal growth factor receptor (EGFR) mutations, which are critical for guiding treatment with tyrosine kinase inhibitors. These targeted therapies can significantly...Read more
2025 25 Aug
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with significant challenges in diagnosis, risk stratification and treatment selection. While imaging has long been a cornerstone of HCC diagnosis, emerging evidence supports its role in identifying prognostic and predictive markers. These markers offer...Read more
2025 25 Aug
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with significant challenges in diagnosis, risk stratification and treatment selection. While imaging has long been a cornerstone of HCC diagnosis, emerging evidence supports its role in identifying prognostic and predictive markers. These markers offer...Read more
2025 25 Aug
Prostate cancer remains one of the most prevalent malignancies affecting men worldwide and poses a major burden on health systems. While biparametric MRI is recommended as a primary diagnostic approach, its standard assessment method—PI-RADS—has limitations, particularly a high false-positive rate. These limitations often result in unnecessary biopsies,...Read more
2025 31 Jul
Lymphovascular invasion (LVI) is a critical determinant of prognosis in colorectal cancer (CRC), reflecting a tumour’s capacity for dissemination through blood and lymphatic vessels. Accurate preoperative assessment of LVI could inform treatment decisions and improve outcomes, yet remains limited by the need for postoperative histological confirmation....Read more
2025 31 Jul
Lymphovascular invasion (LVI) is a critical determinant of prognosis in colorectal cancer (CRC), reflecting a tumour’s capacity for dissemination through blood and lymphatic vessels. Accurate preoperative assessment of LVI could inform treatment decisions and improve outcomes, yet remains limited by the need for postoperative histological confirmation....Read more
2025 28 Jul
Anticipating disease before the appearance of clinical symptoms is a key objective in preventive healthcare. Risk stratification efforts increasingly focus on early detection to enable timely intervention. While traditional risk models have largely relied on non-image data, such as lifestyle or clinical history, these inputs are often based on...Read more
2025 28 Jul
Anticipating disease before the appearance of clinical symptoms is a key objective in preventive healthcare. Risk stratification efforts increasingly focus on early detection to enable timely intervention. While traditional risk models have largely relied on non-image data, such as lifestyle or clinical history, these inputs are often based on...Read more
2025 28 Jul
Anticipating disease before the appearance of clinical symptoms is a key objective in preventive healthcare. Risk stratification efforts increasingly focus on early detection to enable timely intervention. While traditional risk models have largely relied on non-image data, such as lifestyle or clinical history, these inputs are often based on...Read more
2025 21 Jul
Pancreatic ductal adenocarcinoma (PDAC) is characterised by high malignancy and a notably poor prognosis, with early lymph node metastasis (LNM) serving as a key prognostic factor. Current clinical guidelines recommend dissection of at least 15 lymph nodes during surgery, though survival remains low, especially in patients with extensive dissection...Read more
2025 12 Jul
Artificial intelligence has rapidly transformed the field of medical imaging, offering solutions to longstanding challenges such as operator variability and interpretation inefficiencies. Among various imaging modalities, ultrasound is notably dependent on the operator’s skill, making it especially suitable for AI integration. ChatGPT-4, a large...Read more
2025 12 Jul
Artificial intelligence has rapidly transformed the field of medical imaging, offering solutions to longstanding challenges such as operator variability and interpretation inefficiencies. Among various imaging modalities, ultrasound is notably dependent on the operator’s skill, making it especially suitable for AI integration. ChatGPT-4, a large...Read more
2025 12 Jul
Artificial intelligence has rapidly transformed the field of medical imaging, offering solutions to longstanding challenges such as operator variability and interpretation inefficiencies. Among various imaging modalities, ultrasound is notably dependent on the operator’s skill, making it especially suitable for AI integration. ChatGPT-4, a large...Read more
2025 06 Jul
Postpartum haemorrhage (PPH) is a major contributor to maternal morbidity and mortality worldwide. The ability to identify women at high risk of PPH prior to delivery can significantly improve maternal outcomes through better clinical planning and intervention. With the growing incidence of placenta accreta spectrum (PAS) disorders due to increasing...Read more
2025 06 Jul
Postpartum haemorrhage (PPH) is a major contributor to maternal morbidity and mortality worldwide. The ability to identify women at high risk of PPH prior to delivery can significantly improve maternal outcomes through better clinical planning and intervention. With the growing incidence of placenta accreta spectrum (PAS) disorders due to increasing...Read more
2025 06 Jul
Postpartum haemorrhage (PPH) is a major contributor to maternal morbidity and mortality worldwide. The ability to identify women at high risk of PPH prior to delivery can significantly improve maternal outcomes through better clinical planning and intervention. With the growing incidence of placenta accreta spectrum (PAS) disorders due to increasing...Read more
2025 01 Jul
Hepatocellular carcinoma (HCC) is a prevalent malignancy and a leading cause of cancer-related mortality worldwide. Despite curative interventions like hepatectomy and liver transplantation, recurrence rates remain high, with microvascular invasion (MVI) serving as a critical prognostic marker. Current methods to determine MVI rely on postoperative...Read more
2025 01 Jul
Hepatocellular carcinoma (HCC) is a prevalent malignancy and a leading cause of cancer-related mortality worldwide. Despite curative interventions like hepatectomy and liver transplantation, recurrence rates remain high, with microvascular invasion (MVI) serving as a critical prognostic marker. Current methods to determine MVI rely on postoperative...Read more
2025 30 May
Segmentation in medical imaging has evolved into a critical tool for extracting accurate, quantitative insights from radiological data. With the increasing integration of artificial intelligence into healthcare, precise segmentation supports diagnosis, treatment planning and monitoring, and enables more reliable use of volumetric and radiomics analyses....Read more