+ HEALTH Rationale and objectives To propose a new imaging biomarker, the pulmonary artery-to-vein volume difference (…± HEALTH Rationale and objectives The international application of artificial intelligence (AI) for lesion detection b…± HEALTH Rationale and objectives To address the challenge of preoperative prediction of synchronous liver metastasis…± HEALTH Objectives To conduct a nationwide survey among professionals working in oncology departments in China to inv…+ HEALTH The utilization of deep convolutional neural networks for the purpose of diagnosing diseases in the skin area…± HEALTH BACKGROUND . Gadolinium-based contrast agents remain essential for MRI but carry risks. Deep learning (DL) me…+ SCIENCE Gas Chromatography is a versatile separation technique widely used in analytical chemistry for constituent de…+ HEALTH Background Intracardiac echocardiography (ICE) facilitates left atrial (LA) reconstruction during atrial fibr…
TruaceTracing the truth around AIThursday, August 27, 2026
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The Index

What the evidence says.What the public feels.

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

1,168 results
Show filters and sorting

AI gains · 649

68
GainHealth· Stable· Evidence: Moderate (1 source)

AI-generated digital twins of patients enable comprehensive predictions of future health outcomes and optimization of individualized treatment plans.

Published November 11 2024, this review examines Digital Twins and Digital Human Twins as virtual replicas of patients that combine physiological data with AI models to predict health outcomes and tailor therapies.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Jul 19, 2026 · TRV-2026-0277

68
GainHealth· Stable· Evidence: Moderate (1 source)

Adversarial training, input preprocessing, data augmentation and uncertainty estimation are being explored to enhance robustness and reliability features of deep learning medical diagnosis systems built on TensorFlow and PyTorch.

Published November 8, 2024, this review examines whether deep learning models for medical diagnosis can maintain performance when exposed to adversarial or noisy inputs, analyzing influences such as model complexity, training data quality, and hyperparameters.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Jul 19, 2026 · TRV-2026-0276

68
GainHealth· Stable· Evidence: Moderate (1 source)

Integrating genomics, transcriptomics, proteomics and metabolomics with machine learning enables more precise and tailored therapeutic strategies that improve treatment efficacy and reduce adverse effects.

Published November 30, 2024, this peer-reviewed article reviews how combining genomics, transcriptomics, proteomics and metabolomics with machine learning and high-throughput sequencing is being used to tailor therapies to individual genetic and molecular profiles.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Jul 19, 2026 · TRV-2026-0274

AI problems · 519

56
ProblemOther· Stable· Evidence: Moderate (1 source)

OpenAI put Stargate UK on hold in Britain, citing high energy costs and regulatory uncertainty, delaying planned sovereign compute datacentre capacity.

On 9 April 2026 The Guardian reported OpenAI had put on hold Stargate UK, a flagship element of a September 2025 UK-US AI deal that was presented as part of £31bn in US tech commitments. The plan involved OpenAI exploring offtake of 8,000 Nvidia chips at datacentres to be built by UK firm Nscale to provide sovereign compute for government and other UK institutions.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0291

56
ProblemPolicy· Stable· Evidence: Moderate (1 source)

xAI alleges Colorado's AI law violates First Amendment protections by prohibiting disfavored AI speech and compelling developers to promote the state's views on equity and race.

On 9 April 2026, Elon Musk's xAI filed a lawsuit in US district court in Colorado seeking to block enforcement of Colorado's 2024 comprehensive AI law before its 30 June 2026 effective date. The law would impose new requirements on AI systems to protect residents from algorithmic discrimination in education, employment, healthcare, housing and financial services.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0290

56
ProblemScience· Stable· Evidence: Moderate (1 source)

AI-generated and AI-enhanced bird images posted to wildlife forums are contaminating citizen science records and undermining platforms like iNaturalist that researchers use to monitor species ranges.

On 20 July 2026, The Guardian reported that scientists are warning birdwatchers against using generative AI to create or enhance wildlife photos. Researchers writing in Nature said hundreds of AI-altered images have been found on citizen science databases such as iNaturalist and Macaulay Library, which scientists use to track where species occur.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0286

56
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

AI systems trained to imitate a composer's output and an orchestra's broadcasts enable diabolical musical deepfakes that challenge human creativity.

On 17 July 2026 The Guardian reviewed Robert Laidlow's album Reality Eaters, highlighting Silicon, a three-movement work that incorporates AI. The review notes Laidlow wrestling with a machine instructed to imitate his output, using adaptive electronics for deepfakes, and pitting the BBC Philharmonic against an algorithm trained on its own broadcasts.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%92

Updated Jul 17, 2026 · TRV-2026-0240

Recomputed live from the record · Aug 27, 2026, 11:22 AM