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Gleamer BoneView© is a commercially available AI algorithm for fracture detection in radiographs. We aim to test if the algorithm can assist in better sensitivity and specificity for fracture detection by residents with prospective integration into clinical workflow. Radiographs with inquiry for fracture initially reviewed by two residents were randomly assigned and included. A preliminary diagnosis of a possible fracture was made. Thereafter, the AI decision on presence and location of possible fractures was shown and changes to diagnosis could be made. Final diagnosis of fracture was made by a board-certified radiologist with over eight years of experience, or if available, cross-sectional imaging. Sensitivity and specificity of the human report, AI diagnosis, and assisted report were calculated in comparison to the final expert diagnosis. 1163 exams in 735 patients were included, with a total of 367 fractures (31.56%). Pure human sensitivity was 84.74%, and AI sensitivity was 86.92%. Thirty-five changes were made after showing AI results, 33 of which resulted in the correct diagnosis, resulting in 25 additionally found fractures. This resulted in a sensitivity of 91.28% for the assisted report. Specificity was 97.11, 84.67, and 97.36%, respectively. AI assistance showed an increase in sensitivity for both residents, without a loss of specificity.

Our knowledge of ancient human population structure in sub-Saharan Africa, particularly prior to the advent of food production, remains limited. Here we report genome-wide DNA data from four children—two of whom were buried approximately 8,000 years ago and two 3,000 years ago—from Shum Laka (Cameroon), one of the earliest known archaeological sites within the probable homeland of the Bantu language group 1 – 11 . One individual carried the deeply divergent Y chromosome haplogroup A00, which today is found almost exclusively in the same region 12 , 13 . However, the genome-wide ancestry profiles of all four individuals are most similar to those of present-day hunter-gatherers from western Central Africa, which implies that populations in western Cameroon today—as well as speakers of Bantu languages from across the continent—are not descended substantially from the population represented by these four people. We infer an Africa-wide phylogeny that features widespread admixture and three prominent radiations, including one that gave rise to at least four major lineages deep in the history of modern humans. Genome-wide ancestry profiles of four individuals, dating to 8,000 and 3,000 years before present, from the archaeological site of Shum Laka (Cameroon) shed light on the deep population history of sub-Saharan Africa.

The urban peoples of the Swahili coast traded across eastern Africa and the Indian Ocean and were among the first practitioners of Islam among sub-Saharan people 1 , 2 . The extent to which these early interactions between Africans and non-Africans were accompanied by genetic exchange remains unknown. Here we report ancient DNA data for 80 individuals from 6 medieval and early modern ( ad  1250–1800) coastal towns and an inland town after ad  1650. More than half of the DNA of many of the individuals from coastal towns originates from primarily female ancestors from Africa, with a large proportion—and occasionally more than half—of the DNA coming from Asian ancestors. The Asian ancestry includes components associated with Persia and India, with 80–90% of the Asian DNA originating from Persian men. Peoples of African and Asian origins began to mix by about ad  1000, coinciding with the large-scale adoption of Islam. Before about ad  1500, the Southwest Asian ancestry was mainly Persian-related, consistent with the narrative of the Kilwa Chronicle, the oldest history told by people of the Swahili coast 3 . After this time, the sources of DNA became increasingly Arabian, consistent with evidence of growing interactions with southern Arabia 4 . Subsequent interactions with Asian and African people further changed the ancestry of present-day people of the Swahili coast in relation to the medieval individuals whose DNA we sequenced. Analysis of ancient human DNA from the Swahili coast reveals that predominantly African female ancestors and Asian male ancestors formed families after around ad  1000 and lived in elite communities in coastal stone towns.

Relatively little is known about Nubia’s genetic landscape prior to the influence of the Islamic migrations that began in the late 1st millennium CE. Here, we increase the number of ancient individuals with genome-level data from the Nile Valley from three to 69, reporting data for 66 individuals from two cemeteries at the Christian Period (~650–1000 CE) site of Kulubnarti, where multiple lines of evidence suggest social stratification. The Kulubnarti Nubians had ~43% Nilotic-related ancestry (individual variation between ~36–54%) with the remaining ancestry consistent with being  introduced through Egypt and ultimately deriving from an ancestry pool like that found in the Bronze and Iron Age Levant. The Kulubnarti gene pool – shaped over a millennium – harbors disproportionately female-associated West Eurasian-related ancestry. Genetic similarity among individuals from the two cemeteries supports a hypothesis of social division without genetic distinction. Seven pairs of inter-cemetery relatives suggest fluidity between cemetery groups. Present-day Nubians are not directly descended from the Kulubnarti Nubians, attesting to additional genetic input since the Christian Period. Little is known about the genetic landscape of people living in the Nile region prior to the Islamic migrations of the late 1st millennium CE. Here, the authors report genome-wide data for 66 ancient individuals to investigate the genetic ancestry of a Christian Period group from Kulubnarti.

Deep vein thrombosis (DVT) is a blood clot most commonly found in the leg, which can lead to fatal pulmonary embolism (PE). Compression ultrasound of the legs is the diagnostic gold standard, leading to a definitive diagnosis. However, many patients with possible symptoms are not found to have a DVT, resulting in long referral waiting times for patients and a large clinical burden for specialists. Thus, diagnosis at the point of care by non-specialists is desired. We collect images in a pre-clinical study and investigate a deep learning approach for the automatic interpretation of compression ultrasound images. Our method provides guidance for free-hand ultrasound and aids non-specialists in detecting DVT. We train a deep learning algorithm on ultrasound videos from 255 volunteers and evaluate on a sample size of 53 prospectively enrolled patients from an NHS DVT diagnostic clinic and 30 prospectively enrolled patients from a German DVT clinic. Algorithmic DVT diagnosis performance results in a sensitivity within a 95% CI range of (0.82, 0.94), specificity of (0.70, 0.82), a positive predictive value of (0.65, 0.89), and a negative predictive value of (0.99, 1.00) when compared to the clinical gold standard. To assess the potential benefits of this technology in healthcare we evaluate the entire clinical DVT decision algorithm and provide cost analysis when integrating our approach into diagnostic pathways for DVT. Our approach is estimated to generate a positive net monetary benefit at costs up to £72 to £175 per software-supported examination, assuming a willingness to pay of £20,000/QALY.

Situated at over 5,000 meters above sea level in the Himalayan Mountains, Roopkund Lake is home to the scattered skeletal remains of several hundred individuals of unknown origin. We report genome-wide ancient DNA for 38 skeletons from Roopkund Lake, and find that they cluster into three distinct groups. A group of 23 individuals have ancestry that falls within the range of variation of present-day South Asians. A further 14 have ancestry typical of the eastern Mediterranean. We also identify one individual with Southeast Asian-related ancestry. Radiocarbon dating indicates that these remains were not deposited simultaneously. Instead, all of the individuals with South Asian-related ancestry date to ~800 CE (but with evidence of being deposited in more than one event), while all other individuals date to ~1800 CE. These differences are also reflected in stable isotope measurements, which reveal a distinct dietary profile for the two main groups. Remains of several hundred humans are scattered around Roopkund Lake, situated over 5,000 meters above sea level in the Himalayan Mountains. Here the authors analyze genome-wide data from 38 skeletons and find 3 clusters with different ancestries and dates, showing the people were desposited in multiple catastrophic events.

Objectives Escape rooms provide an interactive learning experience, combining clinical knowledge with problem-solving and teamwork. A radiology-themed escape room has been organized at the European Congress of Radiology in 2019 and 2023–2025, with over 900 people participating in total. The process of developing a radiology-themed escape room is discussed, and the results of a participant survey are presented. Materials and methods The development of a radiology-themed escape room was based on five steps. Initially, an overarching concept was chosen, then multiple puzzle ideas were brainstormed. These were linked together to form a story, and then fully developed with relevant images and materials. Finally, the room was tied together, and a fitting atmosphere was created. Participants in 2025 were asked to complete a survey with questions on their training status, the challenges that they found most difficult, and their thoughts on the activity as a learning tool and for improving teamwork. Results Three different concepts of radiology-themed escape rooms were developed for the congresses from 2019 to 2025. The overarching concepts were a polytrauma situation, a thrombectomy for fulminant pulmonary embolism, and a tumor board, respectively. Two hundred ninety people participated in 2025, and 149 completed the exit survey; 66.7% of participants were able to complete the room in time. Enjoyment, learning, and team building were all rated highly by participants. Conclusion A development process for designing a radiology-themed escape room is presented. A prior implementation shows an enjoyable and educational experience for radiologists and other medical professionals. Critical relevance Insights are given on the development of a radiology-themed escape room, providing a unique interactive learning opportunity for residents that incorporates image interpretation with teamwork and cognitive puzzles, resulting in an enjoyable educational experience. Key Points A step-by-step guide on developing a radiology-themed escape room is presented. Radiological escape rooms provide an enjoyable, educational, and team-building experience. Interactive learning experiences could play a larger role in modern radiology education. Graphical Abstract

PurposeThe field of radiology is currently underestimated by undergraduate medical students. The “Hands-on Radiology” summer school was established to improve radiology knowledge and interest among undergraduates. The purpose of this questionnaire survey was to analyze whether a radiological hands-on course is an effective tool to reach and motivate undergraduate students.Materials and methodsThe three-day course held in August 2022 included lectures, quizzes, and small group hands-on workshops focusing on practical work with simulators. All participants (n = 30) were asked to rate their knowledge and motivation to specialize in radiology at the beginning of the summer school (day 1) and the end (day 3). The questionnaires included multiple choice questions, 10-point scale questions and open comment questions. The second questionnaire (day 3) included additional questions regarding the program (topic choice, length, etc.).ResultsOut of 178 applicants, 30 students (16.8%) from 21 universities were selected to participate (50% female and 50% male students). All students completed both questionnaires. The overall rating was 9.47 on a 10-point scale. While the self-reported knowledge level increased from 6.47 (day 1) to 7.50 (day 3), almost all participants (96.7%, n = 29/30) mentioned an increased interest in the specialization of radiology after the event. Interestingly, most students (96.7%) preferred onsite teaching instead of online teaching and chose residents over board-certified radiologists as teachers.ConclusionIntensive three-day courses are valuable tools to strengthen interest in radiology and increase knowledge among medical students. Particularly, students who already have a tendency to specialize in radiology are further motivated.Key pointsThe three-day student program enhanced the visibility of radiology as a specialization.Interest in and knowledge of radiology was increased among participants.Participants’ motivation to consider specialization in radiology increased.Participants favored onsite teaching and teaching by residents instead of consultants.Networking is a major factor during such courses among participants.

Temporal genomic data hold great potential for studying evolutionary processes such as speciation. However, sampling across speciation events would, in many cases, require genomic time series that stretch well back into the Early Pleistocene subepoch. Although theoretical models suggest that DNA should survive on this timescale 1 , the oldest genomic data recovered so far are from a horse specimen dated to 780–560 thousand years ago 2 . Here we report the recovery of genome-wide data from three mammoth specimens dating to the Early and Middle Pleistocene subepochs, two of which are more than one million years old. We find that two distinct mammoth lineages were present in eastern Siberia during the Early Pleistocene. One of these lineages gave rise to the woolly mammoth and the other represents a previously unrecognized lineage that was ancestral to the first mammoths to colonize North America. Our analyses reveal that the Columbian mammoth of North America traces its ancestry to a Middle Pleistocene hybridization between these two lineages, with roughly equal admixture proportions. Finally, we show that the majority of protein-coding changes associated with cold adaptation in woolly mammoths were already present one million years ago. These findings highlight the potential of deep-time palaeogenomics to expand our understanding of speciation and long-term adaptive evolution. Siberian mammoth genomes from the Early and Middle Pleistocene subepochs reveal adaptive changes and a key hybridization event, highlighting the value of deep-time palaeogenomics for studies of speciation and long-term evolutionary trends.

Ancient DNA has allowed us to begin tracing the history of human movements across the globe. Narasimhan et al. identify a complex pattern of human migrations and admixture events in South and Central Asia by performing genetic analysis of more than 500 people who lived over the past 8000 years (see the Perspective by Schaefer and Shapiro). They establish key phases in the population prehistory of Eurasia, including the spread of farming peoples from the Near East, with movements both westward and eastward. The people known as the Yamnaya in the Bronze Age also moved both westward and eastward from a focal area located north of the Black Sea. The overall patterns of genetic clines reflect similar and parallel patterns in South Asia and Europe. Science , this issue p. eaat7487 ; see also p. 981 Genome-wide analysis of ancient DNA from more than 500 individuals from Central and South Asia illuminates the spread of Indo-European languages. By sequencing 523 ancient humans, we show that the primary source of ancestry in modern South Asians is a prehistoric genetic gradient between people related to early hunter-gatherers of Iran and Southeast Asia. After the Indus Valley Civilization’s decline, its people mixed with individuals in the southeast to form one of the two main ancestral populations of South Asia, whose direct descendants live in southern India. Simultaneously, they mixed with descendants of Steppe pastoralists who, starting around 4000 years ago, spread via Central Asia to form the other main ancestral population. The Steppe ancestry in South Asia has the same profile as that in Bronze Age Eastern Europe, tracking a movement of people that affected both regions and that likely spread the distinctive features shared between Indo-Iranian and Balto-Slavic languages.