Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
As of the August 2026 commentary, AI was increasingly integrated into oncology for detection, risk stratification, treatment planning, and documentation. The authors reviewed evidence that these systems can reproduce or amplify disparities and examined technical sources of bias and competing statistical definitions of fairness.
Published August 17 2026 in Abdominal Radiology, this Perspective examines large language models applied to prostate MRI reporting, a task where laterality, sector, size, PI-RADS, and staging language directly affect biopsy and treatment decisions and where patients often see reports via portals before clinician discussion.
Researchers prospectively tested a deep-learning based artificial intelligence iterative reconstruction algorithm against conventional hybrid iterative reconstruction in 132 gastric cancer patients undergoing preoperative abdominal CT before surgery or staging laparoscopy. By August 2026, they reported higher Likert scores for tumor margin and enhancement, higher contrast-to-noise ratios in arterial and portal venous phases, and higher AUC for detecting serosal invasion with AIIR.
Researchers developed a four-stage deep learning framework for CT-based spinal cord injury fracture assessment, combining Weighted Balanced Anisotropic Filtering for denoising, Modified Residual U-Net for spinal cord segmentation, Improved Pyramid Histogram of Oriented Gradients for feature extraction, and a new IShuffleNet-Parallel CNN classifier with Group Normalization and Adaptive Swish-Mish activation.
The peer-reviewed commentary from April 2024 analyzes the rapid uptake of generative AI chatbots like ChatGPT in universities, noting both potential to enhance teaching, research, administration and student support and simultaneous pressures from hype and commercial edtech actors.
On 2024-04-11 this peer-reviewed paper proposed a strategic human resource management framework for integrating generative artificial intelligence in business, arguing existing HRM frameworks fall short and outlining components including alignment with business objectives, seizing opportunities, resource assessment and orchestration, re-institutionalization and continuous learning.
Published in December 2025, this Viewpoint in The Lancet Digital Health evaluates how to validate predictive AI models that estimate binary outcome probabilities for clinical use. The authors reviewed 32 performance measures across five domains and examined whether each measure is proper and whether it accounts for misclassification costs, illustrating findings with the ADNEX model for ovarian tumour malignancy.
Published May 22, 2024, this peer-reviewed article analyzes generative AI's transformative role in creative media and arts industries through the lens of the 2023 Writers' and Actors' strikes. It critiques the prevailing 'replacing tasks' narrative and applies a meaningful work framework to argue for coexistence that amplifies rather than supplements human creativity, using Jurassic Park's VFX transition as a historical parallel.
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