Computed Tomography News and Research

RSS

New workflow could significantly reduce wait time for urgent palliative radiation therapy

Using previously taken diagnostic computed tomography (CT) scans in place of CT simulation scans to plan simple palliative radiation treatments can substantially reduce the time some people spend waiting for urgent treatment, improving the patient experience, a new study suggests.

4 Oct 2023

Can AI outperform radiologists in detecting lung issues? New study weighs in

New study in Radiology evaluates the diagnostic accuracy of four AI tools in detecting common acute findings on chest radiographs. While AI tools showed moderate to high sensitivity and strong negative predictive values, they had higher false-positive rates compared to traditional radiology reports.

28 Sep 2023

One gene variant could be a shield against severe COVID-19 lung damage

Researchers identify a specific genetic variant, rs2204985, linked to less severe lung involvement and a stronger immune response in COVID-19 patients with severe pneumonia. The study suggests that understanding this genetic marker could help identify high-risk individuals and enhance strategies for prevention and treatment.

25 Sep 2023

Cough analysis as a tool to predict severe pneumonia in COVID-19 patients

While most individuals impacted by COVID-19 experience milder symptoms and recover within a few weeks, the global pandemic caused by the SARS-CoV-2 virus continues to pose a significant health challenge.

21 Sep 2023

AI slashes stroke treatment time and saves lives in new study

AI-driven software significantly speeds up the detection of large vessel occlusion in stroke patients, reducing treatment time and potentially improving outcomes. The automated system was linked to a 60% drop in mortality rates in a clinical trial across four comprehensive stroke centers.

21 Sep 2023

Machine learning algorithm flags unruptured cerebral aneurysms missed in routine clinical care

Unruptured cerebral aneurysms of sizes and locations that require attention may be frequently missed in routine clinical care, but a machine learning algorithm could minimize missed care opportunities, according to a new study from UTHealth Houston.

13 Sep 2023

Machine learning shows promise for coronary artery disease risk assessment

Researchers investigated the performance of a machine learning-based model in evaluating radiomic features to diagnose coronary artery disease.

13 Sep 2023

Taiwan National Lung Cancer Early Detection Program offers hope for saving lives through early diagnosis

The Taiwan National Lung Cancer Early Detection Program detected 85 percent of lung cancer cases at either a phase 0 or phase 1 level, demonstrating that lung cancer screening can detect lung cancer at an early enough phase to allow doctors to intervene more effectively.

11 Sep 2023

Study explores the potential of robotic-assisted TMS for depression

In a recent study published in the Scientific Reports, a group of researchers evaluated the efficiency, therapeutic efficacy, and patient perceptions of a custom robotic system for transcranial magnetic stimulation (TMS) coil placement in treating depression compared to traditional manual methods.

31 Aug 2023

A review of the neurological imaging techniques in dementia diagnosis

Researchers reviewed existing data on the contribution of neuroimaging modalities such as magnetic resonance imaging.

28 Aug 2023

ESC statement: Competency-based cardiac imaging delivery needed for effective patient care

Competency-based cardiac imaging delivery is needed for effective and efficient patient care, according to a European Society of Cardiology (ESC) statement published today in European Heart Journal, a journal of the ESC.

25 Aug 2023

Patients with heart conditions should practice good hygiene to prevent infective endocarditis

Patients with specific cardiac conditions such as valvular heart disease and congenital abnormalities, or those requiring a pacemaker, should practice good dental and skin hygiene to help prevent rare but potentially deadly infections of the heart's inner lining and valves, according to European Society of Cardiology (ESC) Guidelines on infective endocarditis, published online today in European Heart Journal.

25 Aug 2023

Computed Tomography News and Research

New workflow could significantly reduce wait time for urgent palliative radiation therapy

Can AI outperform radiologists in detecting lung issues? New study weighs in

One gene variant could be a shield against severe COVID-19 lung damage

Cough analysis as a tool to predict severe pneumonia in COVID-19 patients

AI slashes stroke treatment time and saves lives in new study

Machine learning algorithm flags unruptured cerebral aneurysms missed in routine clinical care

Machine learning shows promise for coronary artery disease risk assessment

Taiwan National Lung Cancer Early Detection Program offers hope for saving lives through early diagnosis

Study explores the potential of robotic-assisted TMS for depression

A review of the neurological imaging techniques in dementia diagnosis

ESC statement: Competency-based cardiac imaging delivery needed for effective patient care

Patients with heart conditions should practice good hygiene to prevent infective endocarditis

The most recent neuroimaging procedures and machine learning approaches for the prediction of Alzheimer’s progression

The current evidence and advances in mechanical thrombectomy for acute ischaemic stroke

AI tool can quickly diagnose muscle wasting in head and neck cancer patients

Review examines visual disturbances among Parkinson’s disease patients

CT imaging reveals that COVID-19 vaccination may protect against severe lung pathology

A comfortable, wearable ultrasound breast patch for breast screening

Revolutionizing COVID-19 ARDS prediction: a deep learning model for critically ill patients

Medical students recognize AI's potential in medicine, call for ethical education

Discover how SciY empowers scientists

Why use light scattering to analyze proteins and viral vectors?

Changing the landscape of R&D to build clinical success from the ground up

Latest News