Artificial Intelligence You Can Trust: What Matters Beyond Performance When Applying Artificial Intelligence to Renal Histopathology?

Although still in its infancy, artificial intelligence (AI) analysis of kidney biopsy images is anticipated to become an integral aspect of renal histopathology. As these systems are developed, the focus will understandably be on developing ever more accurate models, but successful translation to the clinic will also depend upon other characteristics of the system.In the extreme, deployment of highly performant but "black box" AI is fraught with risk, and high-profile errors could damage future trust in the technology. Furthermore, a major factor determining whether new systems are adopted in clinical settings is whether they are "trusted" by clinicians. Key to unlocking trust will be designing platforms optimized for intuitive human-AI interactions and ensuring that, where judgment is required to resolve ambiguous areas of assessment, the workings of the AI image classifier are understandable to the human observer. Therefore, determining the optimal design for AI systems depends on factors beyond performance, with considerations of goals, interpretability, and safety constraining many design and engineering choices.In this article, we explore challenges that arise in the application of AI to renal histopathology, and consider areas where choices around model architecture, training strategy, and workflow design may be influenced by factors beyond the final performance metrics of the system.

Trends in Annual Incidence Rates of Newly Diagnosed Endomyocardial Fibrosis Cases at the Uganda Heart Institute: A 14-Year Review.

Background: First described in Uganda over seven decades ago, Endomyocardial fibrosis (EMF) is a rare form of restrictive cardiomyopathy found in the tropics. EMF occurs mainly in two phenotypes; biventricular involvement and right ventricular (RV) form. Previously endemic in several countries, there are reports suggesting that the disease is on the decline. Objectives: To describe trends in annual incidence rates of newly diagnosed EMF cases at the Uganda Heart Institute (UHI). Methods: This was a retrospective chart review of all newly diagnosed EMF cases at UHI from January 2007 to December 2020. Cases were divided into two groups A (2007-2013) and B (2014-2020). Results: A total of 155 cases were diagnosed during the period (Group A, n = 124; Group B, n = 31). There were no significant differences between the two groups A and B regarding median age at diagnosis (14 vs. 12 years, p = 0.0940), gender (48.4% female vs. 35.5%, p = 0.1987), and EMF type (66.9% RV EMF vs. 71.0%, p = 0.6634), respectively. The presence of complications such as intracardiac thrombus (5.6 vs. 32.2%, p = 0.0002) and pericardial effusion (57.3% vs. 80.6, p = 0.0172) were more frequent in group B than A, respectively. Pulmonary hypertension (PHT) was predominantly seen in cases with biventricular EMF compared to those with RV EMF (26 vs. 3.8%, p = 0.0001). The number of new cases diagnosed per year remained largely stable in the period 2007-2011, ranging 14-21 per year, peaked in 2012 (26 new cases), and thereafter declined from 10 cases seen in 2013 to 1-5 cases seen per year in the period 2017-2020. Similarly, the annual incidence rates of new EMF diagnosis remained relatively stable in the period 2007-2012, ranging between 22.7 and 29.7 per 10,000 patients seen in the echo labs, and then dramatically declined after 2012 to range between 1.0 and 4.5 new cases per 10,000 patients in the period between 2017 and 2020. Conclusion: There has been a steady decline in the number of new cases of EMF seen at the UHI. However, there were no significant differences in the gender, age at diagnosis and EMF subtype of cases during the period under review. Complication rates were more frequent in the later cohort.

Development of an objective, standardized tool for surgical assessment of deceased donor kidneys: The Cambridge Kidney Assessment Tool.

Quality assessment in kidney transplantation involves inspection to identify negative markers of organ quality. However, there is a paucity of evidence guiding surgical appraisal, and currently there is no evidence to differentiate important features from those that can be safely ignored. We propose a method to standardize surgical assessment and derived a simple rule to rapidly identify kidneys suitable for transplantation. Donor and recipient data were recorded alongside clinical outcomes in a prospectively maintained database. We developed a proforma (Cambridge Kidney Assessment Tool, CKAT) and used it to assess deceased donor kidney transplants. Factors predictive of utilization were identified by multivariate and univariate logistic regression analysis of CKAT-assessment scores, and test performance was evaluated using standard 2 × 2 contingency tables. Ninety-seven kidneys were included at a single center (2013-2014), and 184 CKAT assessments were performed. A CKAT threshold of "Carrell + Perfusion >3" was highly specific (99%) and performed favorably to consultant opinion (specificity 95%). 96% of the kidneys implanted in accordance with the rule survived to 1 year (mean eGFR 45.3 mL/min/1.73 m2 ). To our knowledge, this is the first attempt to objectively define macroscopic features that are relevant to kidney utilization. Common language could support training in organ assessment and ultimately help address unnecessary discard of donor kidneys.

Update on the Uganda Heart Institute Ltd. Mulago Hospital

The Uganda Heart Institute Ltd. was founded in 1988 jointly by four boadies: (1) Minsitry of health of Uganda. (2) Mulago National Teaching and Referral Hospital. (3) Makerere University. (4) Uganda Heart Foundation (A Non Government organisation composed of well wishers such as Rotarians). It was fully registered on 29/08/2001 as Uganda Heart Institute Ltd. by Guarantee of the four founder bodies named above. it is a semi-autonomous body. 1.1 Vision: the vision of Uganda Heart Institute Ltd. is to become a centre of excellence in cardiac care and the Best Cardiac Centre in the Great Lakes Region of Africa. 1.2. Mission: To engage in Preventive; Curative; Educational; Rehabilitative and Research Activities on cardiac diseases. 1.3. Objectives: The objectives for which the Institute is established are: a) To provided Health Education in order to promote good health and to prevent heart diseases and diseases of other related organs. b) To offer medical and surgical treatment and rehabilitation of persons affected by heart diseases and diseases of other related organs. c) To carry out research and feasibility studies on all aspects of heart diseases and of other related organs. d) To train; enlighten and educate medical students; graduate doctors; technicians; nurses and other health workers on heart diseases and diseases of other related organs. e) To support; co-ordinate; co-operate and subscribe with any other organisation; public body; insitution; society; club; whether it is national or International which may have the same objectives as herein above