+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…± HEALTH Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovas…
TruaceTracing the truth around AIMonday, September 14, 2026
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1045 published stories · page 17 of 70

Evidence-backed gain

Radiological assessment of pulmonary vascularity in congenital heart disease: standardized clinician assessment versus deep learning-based prediction

Background Assessment of pulmonary vascularity on chest radiographs (CXRs) in congenital heart disease (CHD) is limited by subjectivity, and existing criteria lack sufficient validation. Artificial intelligence-based deep learning model (DLM) analysis may improve accuracy. We developed and validated structured criteria and a DLM to evaluate pulmonary vascularity and compared it with conventional clinical interpretation. Methods A total of 400 deidentified CXRs from CHD patients with Fick-derived pulmonary-to-sys…

Journal of Cardiovascular Imaging · Health

Radiological assessment of pulmonary vascularity in congenital heart disease: standardized clinician assessment versus deep learning-based prediction
Explainable artificial intelligence in medical imaging: how to interpret, evaluate, and use artificial intelligence explanations
Evidence-backed problem

Explainable artificial intelligence in medical imaging: how to interpret, evaluate, and use artificial intelligence explanations

Most artificial intelligence (AI) models used in radiology are black boxes-they produce predictions without explaining the basis of their outputs, raising concerns about clinical safety, accountability, and trust. To address this, a growing body of methods has been developed to help clinicians understand and evaluate AI predictions. This field, known as explainable AI (XAI), aims to help clinicians interrogate, interpret, and critically evaluate AI predictions by identifying factors associated with model outputs…

Health
EXPRESS: Relation between Albumin-Corrected Anion Gap and In-Hospital Mortality in Patients with Traumatic Lung Injury: A Multicenter Retrospective Cohort Study and the Development of Machine Learning-Based Prediction Models
Evidence-backed problem

EXPRESS: Relation between Albumin-Corrected Anion Gap and In-Hospital Mortality in Patients with Traumatic Lung Injury: A Multicenter Retrospective Cohort Study and the Development of Machine Learning-Based Prediction Models

Background The anion gap is primarily utilized as an indicator for evaluating acid-base imbalances in critically ill patients. However, its accuracy is reduced in such patients due to low albumin levels. The albumin-corrected anion gap (ACAG) enhances the accuracy of assessing acid-base imbalances. Individuals with traumatic lung injury (TLI) in the intensive care unit (ICU) often have severe metabolic acidosis and hypoalbuminemia. Nevertheless, the association of ACAG with the prognosis of patients with TLI is…

Health
AI patients, real practice: exploring the use of AI-simulated patients to support primary healthcare training for combat medical technicians
Evidence-backed gain

AI patients, real practice: exploring the use of AI-simulated patients to support primary healthcare training for combat medical technicians

Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure. Simulated patients offer a controlled method to maintain clinical currency. Advances in conversational artificial intelligence (AI) enable realistic and interactive simulated consultations. We present our evaluation of the feasibility, acceptability and educational impact of AI-simulated patients for CMT training. Methods Five military primary care simulated patients were develo…

Health
Evaluation of Differential Diagnosis of Odontogenic Lesions in Cone Beam Computed Tomography Images Using Radiomics-Based Machine Learning
Evidence-backed gain

Evaluation of Differential Diagnosis of Odontogenic Lesions in Cone Beam Computed Tomography Images Using Radiomics-Based Machine Learning

Objective This study aimed to evaluate the structural characteristics of mandibular alveolar bone in patients with Type 1 diabetes mellitus (T1DM), Type 2 diabetes mellitus (T2DM), and systemically healthy controls using panoramic radiography-based radiomic analysis combined with machine learning algorithms. Materials and methods A total of 225 panoramic radiographs (75 T1DM, 75 T2DM, 75 healthy controls) were retrospectively analyzed. ROIs were segmented from eight anatomical mandibular segments per subject, an…

Health
You’re Killing Me review – did an AI monkey write this terrible Brooke Shields crime caper?
Evidence-backed gain

You’re Killing Me review – did an AI monkey write this terrible Brooke Shields crime caper?

Look, we all want Brooke Shields to be in gainful employment. We all want her to have a fabulous third act to her career. God knows, the child model turned star of prurient fever dreams Pretty Baby and The Blue Lagoon (and the “Nothing comes between me and my Calvins” jeans ad campaign when she was 15) has earned it. Plus, she did a fine turn in Friends and a number of us remember Suddenly Susan very fondly. But she’s terrible in the terrible new thing she’s in, which is a six-part comedy drama called You’re Kil…

Media & Arts
Optimal Initialization Scale for Neural Networks With Locally Quadratic Loss Landscapes: An SGD Dynamics Perspective
Evidence-backed gain

Optimal Initialization Scale for Neural Networks With Locally Quadratic Loss Landscapes: An SGD Dynamics Perspective

Stochastic gradient descent (SGD), one of the most fundamental optimization algorithms in machine learning (ML), can be recast through a continuous-time approximation as a Fokker-Planck equation for Langevin dynamics, a viewpoint that has motivated many theoretical studies. Within this framework, we study the relationship between the quasi-stationary distribution derived from this equation and the initial distribution through the Kullback-Leibler (KL) divergence. As the quasi-steady-state distribution depends on…

Science

Redefining the design innovation process: Embedding sustainability through AI-generated camping cookware

With the increasing interest in glamping, the demand for more functional camping cookware has grown, driving innovation in its design. This study aims to explore innovative solutions for camping cookware, and establishes a systematic product conceptual design process through the integration of artificial intelligence-generated content (AIGC) and appropriate data analysis tools. Following the case study, by integrating sustainability-related principles, the study proposes an AIGC-assisted design process for susta…

Lifestyle
Redefining the design innovation process: Embedding sustainability through AI-generated camping cookware

‘Was I scared going back to China? No’: Ai Weiwei on AI, western censorship and returning home

Ai Weiwei is talking me through the decision-making process before his first visit to China in over a decade. The artist, known around the world as the most famous critic of the Chinese communist regime, had to do some fraught arithmetic before deciding to head back home. Before boarding a flight with his son, who had never met the artist’s elderly mother, Ai thought back to his time in detention when his captors told him he would spend the next 13 years in custody on bogus charges: “They said, ‘When you come ou…

Media & Arts
‘Was I scared going back to China? No’: Ai Weiwei on AI, western censorship and returning home

We must reject any notion of AI consciousness | Letters

Anil Seth is right to point out that to overestimate artificial intelligence is to underestimate ourselves (Once again we are told AI may be conscious – I study consciousness, and I have my doubts, 15 July). But he is wrong only to have doubts about whether AI systems like Claude may become conscious. He should be certain, and should say so more forcefully. It’s not like anything to be Claude, just as it’s not like anything to be a washing machine. An academic education is not required to realise that, common se…

Education
We must reject any notion of AI consciousness | Letters

The Rise and Fall of the Artificial State by Jill Lepore review – an ominous warning of tech takeover

Pulitzer prize-winning US historian Jill Lepore’s new book addresses the threat posed to liberal democracy by artificial intelligence. According to Lepore, the extraordinary power of private tech companies led by men whose priorities may not align with the wellbeing of the Earth or its inhabitants is set to destroy civilisation as we know it. Lepore’s concept of the Artificial State is capacious. It includes both a fantasy desired by a select few and a reality that is already with us. The fantasy is of an atomis…

Policy
The Rise and Fall of the Artificial State by Jill Lepore review – an ominous warning of tech takeover

Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

Since its maiden release into the public domain on November 30, 2022, ChatGPT garnered more than one million subscribers within a week. The generative AI tool ⎼ChatGPT took the world by surprise with it sophisticated capacity to carry out remarkably complex tasks. The extraordinary abilities of ChatGPT to perform complex tasks within the field of education has caused mixed feelings among educators, as this advancement in AI seems to revolutionize existing educational praxis. This is an exploratory study that syn…

Education
Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning