Picking interstitial lung disease out of the myositis haystack by Jennifer Hannah, Harsha Gunawardena

“…This heterogeneous disease group requires robust multidisciplinary collaboration between rheumatologists, pulmonologists, thoracic radiologists, and histopathologists to bring together clinical assessment to reach a diagnostic conclusion so optimal outcomes can be achieved.…”
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ChestX-Transcribe: a multimodal transformer for automated radiology report generation from chest x-rays by Prateek Singh, Sudhakar Singh

“…Automated report generation plays a crucial role in alleviating radiologists' workload, improving diagnostic accuracy, and ensuring consistency. …”
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Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas. by Masaya Sato, Ryosuke Tateishi, Yogev Zohar, Jiro Sato, Takeyuki Watadani, Makoto Moriyama, Taijiro Wake, Ryo Nakagomi, Mizuki Nishibatake Kinoshita, Takuma Nakatsuka, Tatsuya Minami, Koji Uchino, Kenichiro Enooku, Hayato Nakagawa, Yoshinari Asaoka, Ryo Yamada, Nitzan Even, Inbal Amitai, Yossi Abu, Mitsuhiro Fujishiro, Kazuhiko Koike

“…Its predictive accuracy was assessed by comparing the ablation zones it predicted with those annotated by radiologists using contrast-enhanced computed tomography (CECT) 24 hours post-treatment, considered the gold standard. …”
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Enhancing Orthopedic Surgery and Treatment Using Artificial Intelligence and Its Application in Health and Dietary Welfare by D. Rubidha Devi, S. K. UmaMaheswaran, Sandhya Tarar, Abu Sarwar Zamani, Durgaprasad Gangodkar, A. Prabhu Chakkaravarthy, IssahAbubakari Samori

“…This study implements a quantitative research approach which will support in sourcing the data from the respondents who are currently working as medical practitioners, orthopedic experts, and radiologists who use ML-based models in making critical decisions related to orthopedic surgery. …”
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Carotid-cavernous fistula as an ophthalmic disease requiring interdisciplinary treatment by Wojciech Luboń, Małgorzata Luboń, Ewa Mrukwa-Kominek

“…Due to the small size of the fistula, radiologists and ophthalmologists deliberated on the optimal therapeutic approach. …”
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Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning by A. Beena Godbin, S. Graceline Jasmine

“…The techniques suggested in this article could aid radiologists in identifying anomalies in chest X-ray (CXR) images, offering a more accurate and efficient interpretation to improve medical decision-making.…”
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An investigation on the radiological findings of dental and bone diseases related to jaw trauma in combat sports by Musa Con, Mehmet Yalcin Tasmekteplıgıl, Taner Tunc, Yesim Denız

“…Panoramic radiographs of the athletes and control group were examined by two radiologists. Both athlete groups experienced significantly more dental (p lt; 0.059), temporomandibular joint (TMJ) (p lt;0.05) and nasal (p lt;0.05)injury than non-athletes. …”
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Adult-onset Langerhans cell histiocytosis with multisystem involvement: A rare case report by Yaman M․ Alahmad, Omar Al Mukdad, Ahmad Huneity, Sarah Sayed, Renan Adam, Alaa Al-Taie

“…This case could serve as a crucial reference for both clinicians, radiologists and researchers, enriching the existing knowledge base on adult-onset LCH.…”
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Interventional radiology placement of totally implantable venous access devices in oncology practice by Shao Jin Ong, Gopinathan Anil

“…Traditionally, TIVADs were inserted by surgeons in operating theatres; however, with the transition to imaging-guided insertion, these devices are now implanted by interventional radiologists in most high-volume centres. Interventional radiology (IR) guided placement of TIVADs has been reported to be cheaper, faster and safer with higher placement success and more accurate positioning.4…”
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A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities by Hang Chen, Sulaiman Khan, Bo Kou, Shah Nazir, Wei Liu, Anwar Hussain

“…The output generated from the classification tool gives information about the type of brain hemorrhage that ultimately helps in validating expert’s diagnosis and is treated as a learning tool for trainee radiologists to minimize the errors in the available systems.…”
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Clinical Evaluation of Patients with Spinal Cord Infarction in Mashhad, Iran by Kavian Ghandehari, Mohammad Reza Gerami Sarabi, Parham Maarufi

“…Diagnosis of SCI was made by neurologists and radiologists. Demographic features, clinical syndrome, and Magnetic Resonance Imaging (MRI) findings were recorded. …”
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High-risk factors and predictive models for hemorrhagic chronic radiation proctitis by Zhongli Liao, Xiaogang Hu, Liuling Hu, Jian Yang

“…It may serve as a reference for radiologists in designing radiotherapy plan to help mitigate the risk of hemorrhagic CRP.…”
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

“…Fourth, an exhaustive performance analysis of the proposed approach on ultrasound images collected from three different Indian hospitals is presented to showcase its efficacy for computer-aided cholelithiasis diagnosis. Fifth, a team of radiologists evaluates and validates the prediction and respective visual explanations made using the proposed approach. …”
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Is CT pulmonary angiography overutilized in the evaluation of patients with suspected pulmonary embolism? A retrospective study by Rabbani Mahmoud Daoud, Ahmed Majeed Mohamed, Muath Salahuddin Almajthoob, Salim Fredericks, Israa ElSayed Daoud, Moath Mahmoud Daoud, Mahmood AlSaeed

“…The Royal College of Radiologists (RCR) recommends a positive yield of 15.4% - 37% for CTPA tests. …”
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Optimization of Image Quality and Organ Absorbed Dose for Pediatric Chest X-Ray Examination: In-House Developed Chest Phantom Study by Thanyawee Pengpan, Natch Rattanarungruangchai, Juthathip Dechjaithat, Phawinee Panthim, Puntarika Siricharuwong, Ausanai Prapan

“…After that, the phantom was used to assess image quality parameters, including SNR and CNR. Two radiologists assessed the subjective image quality using a visual grading analysis (VGA) technique. …”
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Enhancing Multidisciplinary Team Board Efficiency and Communication Using the SBAR Approach by Nazeer Ahmed, Ahmed Nadeem Abbasi, Zainab Farooq

“… In oncology, healthcare professionals from different specialties, such as oncologists, radiologists, and surgeons, assemble to form a cooperative group described as the Multidisciplinary Team (MDT). …”
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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

“…<b>Conclusions:</b> The optimized model combines CT, CBV, and T_max images, enabling automatic lesion identification with reasonable accuracy and aiding radiologists in faster, more objective assessments.…”
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Pyogenic Brain Abscess: A Comprehensive Review of Epidemiology, Pathogenesis, Diagnosis, and Management by Peyman Eini, Pooya Eini, Latif Gachkar

“…A multidisciplinary approach involving neurosurgeons, infectious disease specialists, and radiologists is necessary to manage pyogenic brain abscesses successfully. …”
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Evaluation of the Economic Efficiency of Radiology Units in Hospitals Affiliated with Shahid Sadoughi University of Medical Sciences, Yazd by Ebrahim Bahrami Nia, Reza Shams Allahi, Sedigheh GHolamrezaee, Mohamad mehdi Zare shahne

“…Input variables included the number of expert staff, the number of radiologists, the number of radiology devices, and the number of CT scan devices. …”
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Automated CAD system for early detection and classification of pancreatic cancer using deep learning model. by Abubakar Nadeem, Rahan Ashraf, Toqeer Mahmood, Sajida Parveen

“…Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. …”
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