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1.
Emerg Radiol ; 31(2): 167-178, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38302827

ABSTRACT

PURPOSE: The AAST Organ Injury Scale is widely adopted for splenic injury severity but suffers from only moderate inter-rater agreement. This work assesses SpleenPro, a prototype interactive explainable artificial intelligence/machine learning (AI/ML) diagnostic aid to support AAST grading, for effects on radiologist dwell time, agreement, clinical utility, and user acceptance. METHODS: Two trauma radiology ad hoc expert panelists independently performed timed AAST grading on 76 admission CT studies with blunt splenic injury, first without AI/ML assistance, and after a 2-month washout period and randomization, with AI/ML assistance. To evaluate user acceptance, three versions of the SpleenPro user interface with increasing explainability were presented to four independent expert panelists with four example cases each. A structured interview consisting of Likert scales and free responses was conducted, with specific questions regarding dimensions of diagnostic utility (DU); mental support (MS); effort, workload, and frustration (EWF); trust and reliability (TR); and likelihood of future use (LFU). RESULTS: SpleenPro significantly decreased interpretation times for both raters. Weighted Cohen's kappa increased from 0.53 to 0.70 with AI/ML assistance. During user acceptance interviews, increasing explainability was associated with improvement in Likert scores for MS, EWF, TR, and LFU. Expert panelists indicated the need for a combined early notification and grading functionality, PACS integration, and report autopopulation to improve DU. CONCLUSIONS: SpleenPro was useful for improving objectivity of AAST grading and increasing mental support. Formative user research identified generalizable concepts including the need for a combined detection and grading pipeline and integration with the clinical workflow.


Subject(s)
Tomography, X-Ray Computed , Wounds, Nonpenetrating , Humans , Tomography, X-Ray Computed/methods , Artificial Intelligence , Reproducibility of Results , Machine Learning
2.
Nanomaterials (Basel) ; 13(17)2023 Aug 22.
Article in English | MEDLINE | ID: mdl-37686896

ABSTRACT

Flexible perovskite solar cells introduce opportunities for high throughput, high specific weight, and short energy payback time photovoltaics. However, they require additional investigation into their mechanical resiliency. This work investigates the mechanical properties and behaviors of perovskite thin films and builds a robust model for future research. A two-pronged approach was utilized. Perovskite thin films were flexed in a three-point bend mode with in-situ SEM. Novel insights into the perovskite mechanical behaviors with varying substrate layers were gained. Modeling and validation, the second prong, was completed with finite element analysis. Model coupons of the imaged perovskite architectures were built, with sensitivity analysis completed to provide mechanical property estimates. The results demonstrate that mechanical degradation of perovskite thin films on polyethylene terephthalate (PET) primarily presents as a crack in the grain boundaries between crystals. Perovskite thin films on Indium Tin Oxide (ITO) and PET primarily crack in a periodic pattern regardless of the placement of perovskite crystals.

3.
J Pediatr Endocrinol Metab ; 30(1): 101-104, 2017 Jan 01.
Article in English | MEDLINE | ID: mdl-27941181

ABSTRACT

The association of anosmia and congenital hypogonadotropic hypogonadism (CHH) is well described; however, congenital arhinia is a malformation associated with CHH that occurs much more rarely. There have been three reports of male patients with hypogonadism and congenital arhinia in the literature to date. We present the first case of arhinia associated with CHH in a female patient. A 14 years and 8 months female with congenital arhinia presented with delayed puberty. Physical examination and laboratory evaluation were consistent with hypogonadotropic hypogonadism. She had no other hormone deficiencies and brain magnetic resonance imaging demonstrated a normal pituitary gland. Abdominal ultrasound showed a prepubertal uterus and ovaries. She was subsequently started on sex steroid treatment to induce secondary sexual characteristics. This case demonstrates that abnormalities of nasal development may provide an early diagnostic clue to hypogonadotropic hypogonadism, particularly in female patients who would not manifest classic signs of CHH in infancy (micropenis and cryptorchidism). Early diagnosis of CHH and timely initiation of sex steroid therapy is important to prevent comorbidities related to pubertal delay.


Subject(s)
Congenital Abnormalities/physiopathology , Hypogonadism/diagnosis , Nose/abnormalities , Sexual Maturation , Adolescent , Female , Humans , Hypogonadism/blood , Hypogonadism/etiology , Male , Nose/physiopathology , Prognosis , Testosterone/blood
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