Rogue AI: Cautionary Cases in Neuroradiology and What We Can Learn From Them.

Introduction In recent years, artificial intelligence (AI) in medical imaging has undergone unprecedented innovation and advancement, sparking a revolutionary transformation in healthcare. The field of radiology is particularly implicated, as clinical radiologists are expected to interpret an ever-increasing number of complex cases in record time. Machine learning software purchased by our institution is expected to help our radiologists come to a more prompt diagnosis by delivering point-of-care quantitative analysis of suspicious findings and streamlining clinical workflow. This paper explores AI's impact on neuroradiology, an area accounting for a substantial portion of recent radiology studies. We present a case series evaluating an AI software's performance in detecting neurovascular findings, highlighting five cases where AI interpretations differed from radiologists' assessments. Our study underscores common pitfalls of AI in the context of CT head angiograms, aiming to guide future AI algorithms.  Methods We conducted a retrospective case series study at Stony Brook University Hospital, a large medical center in Stony Brook, New York, spanning from October 1, 2021 to December 31, 2021, analyzing 140 randomly sampled CT angiograms using AI software. This software assessed various neurovascular parameters, and AI findings were compared with neuroradiologists' interpretations. Five cases with divergent interpretations were selected for detailed analysis. Results Five representative cases in which AI findings were discordant with radiologists' interpretations are presented with diagnoses including diffuse anoxic ischemic injury, cortical laminar necrosis, colloid cyst, right superficial temporal artery-to-middle cerebral artery (STA-MCA) bypass, and subacute bilateral subdural hematomas. Discussion The errors identified in our case series expose AI's limitations in radiology. Our case series reveals that AI's incorrect interpretations can stem from complexities in pathology, challenges in distinguishing densities, inability to identify artifacts, identifying post-surgical changes in normal anatomy, sensitivity limitations, and insufficient pattern recognition. AI's potential for improvement lies in refining its algorithms to effectively recognize and differentiate pathologies. Incorporating more diverse training datasets, multimodal data, deep-reinforcement learning, clinical context, and real-time learning capabilities are some ways to improve AI's performance in the field of radiology. Conclusion Overall, it is apparent that AI applications in radiology have much room for improvement before becoming more widely integrated into clinical workflows. While AI demonstrates remarkable potential to aid in diagnosis and streamline workflows, our case series highlights common pitfalls that underscore the need for continuous improvement. By refining algorithms, incorporating diverse datasets, embracing multimodal information, and leveraging innovative machine learning strategies, AI's diagnostic accuracy can be significantly improved.

Radiology advocacy: Promoting collaboration between trainees and professional societies.

From mammographic screening guidelines to resident work hour regulations, public policy affects every aspect of the practice of radiology and ultimately determines how radiological care is delivered to patients. Shaping public policy through advocacy is therefore critical to ensure patient access to equitable, high-quality radiological care. In advocacy, individual practicing radiologists and radiology trainees can increase the scope of their influence by collaborating with professional radiology societies. When radiology trainees participate in organized radiology advocacy, they learn about regulatory and legislative issues that will affect their careers, and they learn how to effect policy change. Radiology societies in turn benefit from trainee involvement, as engaging trainees early in their careers leads to more robust future participation and leadership. To encourage trainee involvement, radiology societies can engage individual residency programs and medical student radiology interest groups, invest in trainee-focused events, and maximize the number of positions of responsibility open to trainees. To circumvent the barriers to participation that many trainees face, radiology societies can make meeting proceedings free and available through virtual mediums. Through active collaboration, trainees and professional societies can help assure a bright future for radiologists and patients in need of radiological care.

A Review of COVID-19's Impact on Radiology Residents' Academics and Wellness in North America.

BACKGROUND: The COVID-19 pandemic caused major disruptions in radiology departments throughout North America. Radiology residency programs were forced to make dramatic changes to their training programs, which had major impacts on resident academics and wellness. The goal of this review is to evaluate the impact of COVID-19 on radiology residents' academics and wellness in North America, while also identifying effective measures taken by programs to mitigate the effects of the pandemic. METHODS: The search strategy involved database search via PubMed, Embase, and Web of Science with specific key words related to COVID-19, radiology residents, education, wellness, and virtual learning. Studies discussing the education and wellness of radiology residents in North America published after 2020 were included. The data were analyzed using a narrative synthesis approach. RESULTS: The three main domains affected by the pandemic include the residency curriculum, research, and resident wellness. The decline in case volume and diversity of cases had negative overall impact on education of radiology residents, but simulated cases and virtual learning proved its value during the pandemic and may have lasting implications for the postpandemic world. Research initiatives transitioned to a remote format with greater emphasis on quality improvement and COVID-19-related studies. Reduced face-to-face interaction opportunities made it difficult to establish strong and meaningful interpersonal connections and had a negative impact on resident wellness, mentorship, and professional development. Implementing mentorship programs and virtual "town hall meetings" were effective measures to maintain connections during times of social distancing. Finally, the COVID-19 pandemic introduced unprecedented stressors and challenges for radiology residents that negatively impacted their mental health and wellness. Incorporating wellness initiatives such as wellness hours and team-building activities and using social media were helpful in promoting wellness and mental health for radiology residents. CONCLUSION: The COVID-19 pandemic has had a significant impact on the academics and wellness of radiology residents across North America but has taught us many lessons that can help us navigate the ongoing challenges of the pandemic, the postpandemic world, and future pandemics.

Call to Action: Creating Resources for Radiology Technologists to Capture Higher Quality Portable Chest X-rays.

Background Patient rotation, foreign body overlying anatomy, and anatomy out of field of view can have detrimental impacts on the diagnostic quality of portable chest x-rays (PCXRs), especially as the number of PCXR imaging increases due to the coronavirus disease 2019 (COVID-19) pandemic. Although preventable, these "quality failures" are common and may lead to interpretative and diagnostic errors for the radiologist. Aims In this study, we present a baseline quality failure rate of PCXR imaging as observed at our institution. We also conduct a focus group highlighting the key issues that lead to the problematic images and discuss potential interventions targeting technologists that can be implemented to address imaging quality failure rate. Materials and methods A total of 500 PCXRs for adult patients admitted to a large university hospital between July 12, 2021, and July 25, 2021, were obtained for evaluation of quality. The PCXRs were evaluated by radiology residents for failures in technical image quality. The images were categorized into various metrics including the degree of rotation and obstruction of anatomical structures. After collecting the data, a focus group involving six managers of the technologist department at our university hospital was conducted to further illuminate the key barriers to quality PCXRs faced at our institution.. Results  Out of the 500 PCXRs evaluated, 231 were problematic (46.2%). 43.5% of the problematic films with a repeat PCXR within one week showed that there was a technical problem impacting the ability to detect pathology. Most problematic films also occurred during the night shift (48%). Key issues that lead to poor image quality included improper patient positioning, foreign objects covering anatomy, and variances in technologists' training. Three interventions were proposed to optimize technologist performance that can lower quality failure rates of PCXRs. These include a longitudinal educational curriculum involving didactic sessions, adding nursing support to assist technologists, and adding an extra layer of verification by internal medicine residents before sending the films to the radiologist. The rationale for these interventions is discussed in detail so that a modified version can be implemented in other hospital systems.  Conclusion This study illustrates the high baseline error rate in image quality of PCXRs at our institution and demonstrates the need to improve on image quality. Poor image quality negatively impacts the interpretive accuracy of radiologists and therefore leads to wrong diagnoses. Increasing educational resources and support for technologists can lead to higher image quality and radiologist accuracy.

Large Pleural Effusion After Transjugular Intrahepatic Portosystemic Shunt, a Rare but Deadly Complication.

Cirrhosis affects more than 630,000 adults globally and can lead to development of ascites. Transjugular intrahepatic portosystemic shunt (TIPS) is an alternative option for refractory ascites in patients who are ineligible or are waiting for liver transplants. However, this procedure can have serious complications. We present a case that highlights the development of a complex pleural effusion complicated by hemorrhagic shock and disseminated intravascular coagulation after TIPS in a 54-year-old man. Our case is the first to report such a complication and aims to provide awareness.

Novel Validated Index for the Measurement of Disinformation Susceptibility at the County Level.

In the past decade, disinformation has become an increasingly dangerous enemy of public health, scientific advancement, and social stability. To address and counter this trend, it is essential to first identify communities most at risk for disinformation. The Jin-Hafiz Disinformation Index (JHDI) is developed and validated as a tool to counter disinformation and address deficits of good information on a county level in the United States. Once vulnerable communities are identified with the JHDI, targeted interventions with community partnerships can be conducted to address knowledge concerns.

Telemedicine: Current Impact on the Future.

The current healthcare landscape lends itself to major changes, including elevating the prominence of telemedicine. Recent technological advances and external pressures have driven telemedicine to the forefront of medical reality. During an emergency declaration made March 17, 2020, the Centers for Medicare & Medicaid Services (CMS) stated the need for providers to use telemedicine to provide patients care in hospitals, clinics, nursing homes, and other settings across the states. Additionally, new policies have been implemented to better facilitate patient care, safety, and privacy. The convenience provided by this low resource modality facilitates the intercommunication between physicians and offers a suitable alternative for patients who are medically or socially unable to see providers in person. However, given the nature of the practice, much consideration is needed to build patient relationships and comfort. In the future, the impact of telemedicine on healthcare environments cannot be overstated, especially in hospice and nursing home settings where it stands to improve treatment efficacy and monitoring for the elderly. Newer inventions such as the remote patient monitoring system can act as safety nets for clinic patients, while improving accessibility of electronic health records (EHRs) will dramatically augment available treatment options. However, the spread of telehealth relies on community reimbursement and the ability for physicians to consistently offer the same services that are available in person. Additionally, it is imperative that physicians and other healthcare professionals integrate these new technologies into their fields while also maintaining the ethics of patient security and autonomy.

Transrenal Ureteral Embolization Utilizing Amplatzer Vascular Plugs and N-Butyl Cyanoacrylate Glue.

This retrospective study presents three consecutive patients who underwent bilateral ureteral occlusion using the Amplatzer vascular plugs and N-butyl cyanoacrylate glue sandwich method. The patients were 63- and 65-year-old males and a 79-year-old female. Indications for the procedure included severe cystitis and complex vesicular fistulas unresponsive to urinary diversion. All three patients had immediate resolution of urinary leakage, resulting in symptom relief throughout the follow-up period. There were no procedure-related complications or side effects.