Colour information biases facial age estimation and reduces inter-observer variability.

Age estimation is a perceptual task that people perform automatically and effortlessly on a daily basis. Colour has been identified as one of the facial cues that contributes to age perception. To investigate further the role of colour in age perception, we manipulated the chromatic content of facial images holistically. In Experiment 1, images were shown in colour or grey scale; in Experiment 2, images were shown with red-green contrast increased or decreased; in Experiment 3, images were shown with modified yellow-blue contrast. We examined whether the presence of chromatic information biases the perception of age and/or affects inter-observer variability in age judgements, and whether specific chromatic information affects the perception of age. We found that the same face tended to be judged as younger with increased red-green contrast compared to decreased red-green contrast, suggesting that red-green contrast directly affects age perception. Inter-observer variability in age ratings was significantly lower when participants were asked to rate colour compared with grey scale versions of images. This finding indicates that colour carries information useful cues for age estimation.

Critical Care Simulation Education Program During the COVID-19 Pandemic.

BACKGROUND: Coronaviruses are important emerging human and animal pathogens. SARS-CoV-2, the virus that causes COVID-19, is responsible for the current global pandemic. Early in the course of the pandemic, New York City became one of the world's "hot spots" with more than 250,000 cases and more than 15,000 deaths. Although medical providers in New York were fortunate to have the knowledge gained in China and Italy before it came under siege, the magnitude and severity of the disease were unprecedented and arguably under appreciated. The surge of patients with significant COVID-19 threatened to overwhelm health care systems, as New York City health systems realized that the number of specialized critical care providers would be inadequate. A large academic medical system recognized that rapid redeployment of noncritical providers into such roles would be needed. An educational gap was therefore identified: numerous providers with minimal critical care knowledge or experience would now be required to provide critical-level patient care under supervision of intensivists. Safe provision of such high level of patient care mandated the development of "educational crash courses." METHODS: The purpose of this special article is to summarize the approach adopted by the Institute for Critical Care Medicine and Department of Anesthesiology, Perioperative and Pain Medicine's Human Emulation, Education, and Evaluation Lab for Patient Safety and Professional Study Simulation Center in developing a training program for noncritical care providers in this novel disease. RESULTS: Using this joint approach, we were able to swiftly educate a wide range of nonintensive care unit providers (such as surgical, internal medicine, nursing, and advanced practice providers) by focusing on refreshing critical care knowledge and developing essential skillsets to assist in the care of these patients. CONCLUSIONS: We believe that the practical methods reviewed here could be adopted by any health care system that is preparing for an unprecedented surge of critically ill patients.

The Mount Sinai Hospital Institute for critical care medicine response to the COVID-19 pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic resulted in a surge of critically ill patients. This was especially true in New York City. We present a roadmap for hospitals and healthcare systems to prepare for a Pandemic. METHODS: This was a retrospective review of how Mount Sinai Hospital (MSH) was able to rapidly prepare to handle the pandemic. MSH, the largest academic hospital within the Mount Sinai Health System, rapidly expanded the intensive care unit (ICU) bed capacity, including creating new ICU beds, expanded the workforce, and created guidelines. RESULTS: MSH a 1,139-bed quaternary care academic referral hospital with 104 ICU beds expanded to 1,453 beds (27.5% increase) with 235 ICU beds (126% increase) during the pandemic peak in the first week of April 2020. From March to June 2020, with follow-up through October 2020, MSH admitted 2,591 COVID-19-positive patients, 614 to ICUs. Most admitted patients received noninvasive support including a non-rebreather mask, high flow nasal cannula, and noninvasive positive pressure ventilation. Among ICU patients, 68.4% (n=420) received mechanical ventilation; among the admitted ICU patients, 42.8% (n=263) died, and 47.8% (n=294) were discharged alive. CONCLUSIONS: Flexible bed management initiatives; teamwork across multiple disciplines; and development and implementation of guidelines were critical accommodating the surge of critically ill patients. Non-ICU services and staff were deployed to augment the critical care work force and open new critical care units. This approach to rapidly expand bed availability and staffing across the system helped provide the best care for the patients and saved lives.

The "cheerleader effect" in facial and bodily attractiveness: A result of memory bias and not perceptual encoding.

Individual faces are rated as more attractive when presented in a group compared with when presented individually; a finding dubbed the "cheerleader effect." As a relatively recent discovery, the conditions necessary to observe the effect are not clearly understood. We sought to better define these conditions by examining two parameters associated with the effect. Our first aim was to determine whether the effect is specific to faces or occurs also for human bodies. Both face and body images were rated as being more attractive when presented in groups than when presented in isolation, demonstrating that the cheerleader effect is not restricted to faces. Furthermore, the effect was significantly larger for bodies than faces. Our second aim was to determine whether the cheerleader effect originates from a bias in memory or occurs during perceptual encoding. Participants in the "memory" condition provided attractiveness ratings after images had been removed from the testing screen, whereas participants in the "perceptual" condition provided ratings while the images remained visible, thereby eliminating the memory components of the paradigm. Significant cheerleader effects were only observed in the memory condition. We conclude that the cheerleader effect for faces and bodies is due to a bias in memory and does not occur at an initial stage of perceptual encoding.

Magnetic resonance fingerprinting: from evolution to clinical applications.

In 2013, Magnetic Resonance Fingerprinting (MRF) emerged as a method for fast, quantitative Magnetic Resonance Imaging. This paper reviews the current status of MRF up to early 2020 and aims to highlight the advantages MRF can offer medical imaging professionals. By acquiring scan data as pseudorandom samples, MRF elicits a unique signal evolution, or 'fingerprint', from each tissue type. It matches 'randomised' free induction decay acquisitions against pre-computed simulated tissue responses to generate a set of quantitative images of T1 , T2 and proton density (PD) with co-registered voxels, rather than as traditional relative T1 - and T2 -weighted images. MRF numeric pixel values retain accuracy and reproducibility between 2% and 8%. MRF acquisition is robust to strong undersampling of k-space. Scan sequences have been optimised to suppress sub-sampling artefacts, while artificial intelligence and machine learning techniques have been employed to increase matching speed and precision. MRF promises improved patient comfort with reduced scan times and fewer image artefacts. Quantitative MRF data could be used to define population-wide numeric biomarkers that classify normal versus diseased tissue. Certification of clinical centres for MRF scan repeatability would permit numeric comparison of sequential images for any individual patient and the pooling of multiple patient images across large, cross-site imaging studies. MRF has to date shown promising results in early clinical trials, demonstrating reliable differentiation between malignant and benign prostate conditions, and normal and sclerotic hippocampal tissue. MRF is now undergoing small-scale trials at several sites across the world; moving it closer to routine clinical application.

Beyond the evidence-based practice paradigm to achieve best practice in rehabilitation medicine: a clinical review.

OBJECTIVE: Best practice is a practice that, on rigorous evaluation, demonstrates success, has had an impact, and can be replicated. It is differentiated from its constituent parts, evidence-based practice and knowledge translation, by its general meaning and global purview. The purpose of this clinical review is to provide transparency to the concept and achievement of best practice in the context of rehabilitation medicine. The authors will review and analyze the roles of evidence-based practice and knowledge translation in rehabilitation medicine as they work to support best practice. Challenge areas will be discussed, including an evidential hierarchy in need of update, a lack of "high-level" research evidence, and delays in translating evidence to practice. Last, the authors will argue that rehabilitation medicine is well-positioned to effect change by promoting inclusion of emerging research methodologies and analytic techniques that better capture context-specific rehabilitation evidence, into the evidential hierarchy. Achieving best practice is dependent on this, as well as alignment of all key stakeholders, ranging from the patient, researchers and clinicians, to policymakers, payers, and others.