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Artificial intelligence (AI) simulates intelligent behavior as well as critical thinking comparable to a human being and can be used to analyze and interpret complex medical data. The application of AI in imaging diagnostics reduces the burden of radiologists and increases the sensitivity of lung cancer screening so that the morbidity and mortality associated with lung cancer can be decreased. In this article, we have tried to evaluate the role of artificial intelligence in lung cancer screening, as well as the future potential and efficiency of AI in the classification of nodules. The relevant studies between 2010-2020 were selected from the PubMed database after excluding animal studies and were analyzed for the contribution of AI. Techniques such as deep learning and machine learning allow automatic characterization and classification of nodules with high precision and promise an advanced lung cancer screening method in the future. Even though several combination models with high performance have been proposed, an effectively validated model for routine use still needs to be improvised. Combining the performance of artificial intelligence with a radiologist's expertise offers a successful outcome with higher accuracy. Thus, we can conclude that higher sensitivity, specificity, and accuracy of lung cancer screening and classification of nodules is possible through the integration of artificial intelligence and radiology. The validation of models and further research is to be carried out to determine the feasibility of this integration.

Mitofusins reside on the outer mitochondrial membrane and regulate mitochondrial fusion, a physiological process that impacts diverse cellular processes. Mitofusins are activated by conformational changes and subsequently oligomerize to enable mitochondrial fusion. Here, we identify small molecules that directly increase or inhibit mitofusins activity by modulating mitofusin conformations and oligomerization. We use these small molecules to better understand the role of mitofusins activity in mitochondrial fusion, function, and signaling. We find that mitofusin activation increases, whereas mitofusin inhibition decreases mitochondrial fusion and functionality. Remarkably, mitofusin inhibition also induces minority mitochondrial outer membrane permeabilization followed by sub-lethal caspase-3/7 activation, which in turn induces DNA damage and upregulates DNA damage response genes. In this context, apoptotic death induced by a second mitochondria-derived activator of caspases (SMAC) mimetic is potentiated by mitofusin inhibition. These data provide mechanistic insights into the function and regulation of mitofusins as well as small molecules to pharmacologically target mitofusins. Mitofusins regulate mitochondrial fusion. Here the authors identify small molecules that activate or inhibit mitofusins’ activity and modulate mitochondrial fusion and functionality. Inhibition of mitochondrial fusion promotes minority MOMP, caspase-3/7 activation, and DNA damage.

Cerebellar infarction, a rare category of stroke, is often misdiagnosed but not given much importance in the available literature. Its presentation overlaps with symptoms of other neurologic, cardiovascular, gastrointestinal, and systemic conditions and therefore is nonspecific. Early diagnosis and management of cerebellar strokes are of utmost importance as the lack of a proper diagnosis may increase overall morbidity and mortality. Lack of awareness of the warning signs and symptoms, non-specificity of symptoms, absence of neurological deficits, and imaging discrepancies are some of the factors contributing to misdiagnosis and delayed treatment. If symptomatology is considered, it is found that symptoms of posterior circulation stroke were more frequently misdiagnosed compared to anterior circulation. Nausea and vomiting increased the chance further. Some other rare presentations include gastrointestinal symptoms, isolated vertigo, and symptoms of inner ear disease. Overdependence on radiological investigations often masks the significance of clinical examination. Ischemic stroke may appear normal in the initial 48 hours in the computed tomography scan of the brain or bony artefacts may hide the lesion. Permanent disabling deficits can follow a cerebellar stroke and the complications, which include hydrocephalus, brain stem compression, and gait abnormalities, necessitate prompt identification and management. In this review article, we aim at analysing various case reports of cerebellar infarction, the most common presentations that were under-evaluated, and their outcomes, thereby highlighting the importance of proper diagnosis and reporting of cerebellar infarction in the future. A thorough knowledge of the association between various clinical presentations of cerebellar stroke and its misdiagnosis helps clinicians to be more vigilant about the disease.

The generation of biomaterials via 3D printing is an emerging biotechnology with novel methods that seeks to enhance bone regeneration. Alginate and collagen are two commonly used biomaterials for bone tissue engineering and have demonstrated biocompatibility. Strontium (Sr) and Calcium phosphate (CaP) are vital elements of bone and their incorporation in composite materials has shown promising results for skeletal repair. In this study, we investigated strontium calcium polyphosphate (SCPP) doped 3D printed alginate/collagen hydrogels loaded with MC3T3-E1 osteoblasts. These cell-laden scaffolds were crosslinked with different concentrations of 1% SCPP to evaluate the effect of strontium ions on cell behavior and the biomaterial properties of the scaffolds. Through scanning electron microscopy and Raman spectroscopy, we showed that the scaffolds had a granular surface topography with the banding pattern of alginate around 1100 cm−1 and of collagen around 1430 cm−1. Our results revealed that 2 mg/mL of SCPP induced the greatest scaffold degradation after 7 days and least amount of swelling after 24 h. Exposure of osteoblasts to SCPP induced severe cytotoxic effects after 1 mg/mL. pH analysis demonstrated acidity in the presence of SCPP at a pH between 2 and 4 at 0.1, 0.3, 0.5, and 1 mg/mL, which can be buffered with cell culture medium. However, when the SCPP was added to the scaffolds, the overall pH increased indicating intrinsic activity of the scaffold to buffer the SCPP. Moreover, cell viability was observed for up to 21 days in scaffolds with early mineralization at 0.3, 0.5, and 1 mg/mL of SCPP. Overall, low doses of SCPP proved to be a potential additive in biomaterial approaches for bone tissue engineering; however, the cytotoxic effects due to its pH must be monitored closely.

Dual antiplatelet therapy (DAPT) is a class I guideline indication after percutaneous coronary intervention (PCI). Our population is high-risk for low medication adherence. With a multidisciplinary team we developed a telephone-based intervention to improve DAPT adherence post-PCI. Patients undergoing PCI at our center were contacted by nursing staff via telephone at 1 week, 30 days, and 60 days post-procedure. Calls included a reminder of the importance of DAPT and elicited any patient concerns. Concerns were relayed to the team who could take appropriate action. For patients filling their medications at any pharmacies within our closed system the proportion of days covered (PDC) was calculated. These were compared to data for patients undergoing PCI in the seven months prior to program initiation. Information on interventions performed as a result of calls was also collected. During the study period, 452 patients underwent PCI. Of these, 70% were contacted and 244 filled their prescription at our system pharmacies. Twelve-month median PDC was 74%, with 45% of patients having PDC > 80%. There was no significant difference when compared to the group prior to the intervention, median PDC 79% and 50% of patients having PDC > 80%. In 26 patients calls led to interventions, removing barriers that would have otherwise prevented continued adherence. A telephone-based reminder system led to directed interventions in nearly 1 in 10 patients contacted. It was not able to significantly improve PDC when compared to a contemporary sample. This highlights the difficulty in using PDC to detect barriers to adherence.

Ventilator-associated pneumonia (VAP) and non-ventilator hospital-acquired pneumonia (NVHAP) remain among the most common and serious infections in adult critical care settings. Despite strong biological plausibility, oral care is inconsistently specified and rarely measured as a preventive strategy. This review synthesizes evidence on oral hygiene practices in critically ill adults, examines their relationship to VAP and NVHAP, and proposes a pragmatic and dentistry-informed oral-care bundle for clinical use. An integrative review was conducted using a structured literature search in PubMed, Scopus, and Web of Science from 2005 to 2025. Search terms combined pneumonia-related concepts, critical care setting and oral health. Eligible sources included studies addressing oral health and the prevention of VAP or NVHAP in adult critical care settings. Only full-text publications in English or with an available English translation were included. The database search identified 935 records. After removing 224 duplicates, 711 studies were selected for title and abstract screening. Furthermore, studies focused exclusively on non-oral pneumonia prevention strategies, those without an oral health-related component, or those not conducted in an acute hospital or intensive care unit (ICU) setting were excluded during the synthesis phase, resulting in 20 studies included in the final synthesis. The evidence synthesis was conducted narratively, organized around domains corresponding to the review objectives such as pathophysiologic mechanisms along the oral-lung axis; current oral care practices; modality-specific interventions; assessment and documentation; implementation and workforce factors; safety, equity, and feasibility. Oral hygiene occupies a modifiable point along the oral-lung axis, where simple bedside interventions can reduce pneumonia risk; however, clinical practice remains heterogeneous and under-specified. Structured oral care practices reduce VAP incidence and represent a reliable and scalable contribution to safer critical and acute care.

The objective of this study was to quantify the rate at which newly initiated antipsychotic therapy is continued on discharge from the intensive care unit (ICU) and describe risk factors for continuation post–ICU discharge. This is a retrospective cohort study of all patients receiving an antipsychotic in the ICUs of a large academic medical center from January 1, 2005, to October 31, 2011. Medical record review was conducted to ascertain whether a patient was newly started on antipsychotic therapy and whether therapy was continued post–ICU discharge. A total of 39,248 ICU admissions over the 7-year period were evaluated. Of these, 4468 (11%) were exposed to antipsychotic therapy, of which 3119 (8%) were newly initiated. In the newly initiated cohort, 642 (21%) were continued on therapy on discharge from the hospital. Type of drug (use of quetiapine vs no use of quetiapine: odds ratio, 3.2; 95% confidence interval, 2.5-4.0; P < .0001 and use of olanzapine: odds ratio, 2.4, 95% confidence interval, 2.0-3.1; P ≤ .0001) was a significant risk factor for continuing antipsychotics on discharge despite adjustment for clinical factors. Antipsychotic use is common in the ICU setting, and a significant number of newly initiated patients have therapy continued upon discharge from the hospital. [Display omitted]

The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties. AI algorithms are widely studied in areas like mechanical ventilation, sleep medicine, lung ultrasound, and pulmonary function diagnostics and the results are found to be promising. The quality of patient care and safety can be greatly enhanced if respiratory care professionals fully understand the concept and importance of AI, as they are already incorporating various aspects of this technology into their clinical practice. Awareness of AI in the clinical field is essential during this phase; hence, it is desirable to establish widely accepted standards presented in a clear and accessible language. This article aims to describe the existing and prospective role of AI in the field of respiratory care and allied areas.

Background: Lung Ultrasound (LUS) had proved to be beneficial in detecting respiratory disorders at the bedside. Understanding the important role of Respiratory Therapists (RTs) in the critical care, we aimed to assess their knowledge, perceived relevance of LUS to clinical practice, current skill gaps, and barriers to practice. Methods: A cross-sectional, nationwide survey conducted among the RTs working in the Kingdom of Saudi Arabia. The validated questionnaire included 4 sections; the demographics, knowledge and perceptions, applicability and self-reported proficiency, and barriers to the use of LUS by RTs. Results: A total of 256 RTs across different regions of Saudi Arabia participated in this survey. 71.9% of them were males, and 46.1% of the participants were having <5 years of working experience. Only (18.1%) of the participants used LUS in their clinical practice, and (43%) of them had never received any training. 66% of the participants perceived LUS as an effective tool in the RT practice and immensely valuable in their daily practice (70%). A large proportion of RTs perceived LUS to be ineffective in calculating the lung score (50.4%), assessing the diaphragm (40.2%), and detecting pulmonary edema (38.3%). Calculating lung score has a lower mean score of 2.55 on both skills, and identifying its applicability to clinical practice with a mean score of 2.71 than other indications. Lack of training and curriculum (154/256; 60.2%) remains the top barrier that prevented RTs from using LUS in their clinical practice. Conclusion: While many RTs in Saudi Arabia perceived LUS as an effective tool in the RT practice, considerable competence gap exist, indicating the need for LUS training. There is a need for incorporating LUS into the curriculum of RT schools and promoting competency-based training for the current RT workforce to help improve patient care. Keywords: lung ultrasound, respiratory therapy, curriculum, training