How to … Teach Radiological Interpretation to Medical Students

Radiological images are encountered daily by junior doctors, often in time-pressured settings where early decisions matter. Yet, many medical students reach their clinical years, and beyond, with limited opportunity to practise interpreting images in a structured way, apart from occasional lectures or ad hoc exposure on the wards [1]. Teaching is frequently focused on describing appearances rather than supporting students to make and justify interpretive decisions, leaving a gap between curricular expectations and practical readiness. Addressing this learning need is important as newly qualified doctors are expected to engage actively with imaging from the start of clinical practice. The Royal College of Radiologists (RCR) undergraduate curriculum defines competence at graduation as safe, generalist radiological practice: appropriate requesting and justification of imaging, explanation of tests and risks to patients, baseline interpretation of common emergency radiographs and CT studies and timely escalation when uncertainty or significant abnormality is present [2]. Without explicit preparation for these tasks, there is a risk of misplaced confidence, over-reliance on reports or delayed recognition of important findings. A growing body of educational research shows that radiological interpretation is learned most effectively through repeated decision-making and serial case interpretation, supported by timely feedback and opportunities to recalibrate judgement rather than through passive exposure alone [3-5]. This article draws on that evidence to provide a practical guide for educators teaching radiological interpretation. We outline how interpretation skills develop, then consider realistic undergraduate competence, before describing teaching strategies aligned with these principles. Practical case studies illustrate how tutorials and case banks can be used to support learning rather than simply deliver content. Radiological interpretation develops through active engagement with images, not passive exposure. Learners improve when they repeatedly interpret unfamiliar cases, commit to a diagnostic decision and receive timely, specific feedback before progressing to the next case. This learning process is well described by deliberate practice theory [3-6]. Several cognitive principles underpin effective learning in radiology. Structured interpretive frameworks and worked examples support schema formation and reduce cognitive load for novice learners [3, 6]. Immediate feedback—ideally combining annotated images with concise explanatory text—allows learners to recalibrate both visual search and diagnostic thresholds [7, 8]. Repeated retrieval through testing strengthens retention more effectively than review alone, whereas spacing practice over time mitigates skill decay [9]. Evidence shows that learners' confidence does not reliably track diagnostic accuracy, highlighting the need for explicit opportunities to recalibrate judgement [4]. Competency-based medical education (CBME) underpins an evidence-based approach for undergraduate radiology teaching. This starts by recognising the variation in learner improvement and the learning curve, rather than a linear trajectory, associated with skill development [4, 5]. Fixed time-based exposure therefore risks both under- and over-training depending on the performance of individual learners. Tracking skill development across repeated cases allows educators to define appropriate benchmarks and to support progression towards an aim of safe, generalist competence [4]. This reflects recognition that expert-level discrimination is not achievable within generalist undergraduate training. From a collective perspective, aggregated performance data across large cohorts of learners can be used to identify systematically difficult cases, model learning curves at an individual and cohort level and iteratively adapt case selection and sequencing to better support progression towards the defined performance benchmarks [4, 5, 10]. Undergraduate radiology teaching should be explicitly aligned to the level of a newly qualified foundation doctor. At this stage, competence centres on safety, judgement and escalation over detailed pattern differentiation. Graduates should be able to distinguish normal from abnormal imaging, recognise common and time-critical findings and integrate imaging appearances with clinical context to guide initial management. They should understand the limitations of their own interpretations, know when to seek senior or radiology input and be able to act appropriately on formal radiology reports [2, 8, 11]. Fine-grained differentiation between multiple abnormal diagnoses is not a realistic expectation for most students within the limited time available, even after substantial practice [5]. Accordingly, undergraduate teaching should prioritise core principles of visual diagnosis and judgement while avoiding overly simplified or unrepresentative case mixes that fail to reflect real-world diagnostic prevalence and uncertainty [7, 8, 10]. Making these goals explicit helps learners calibrate confidence, reduces frustration and allows educators to prioritise core principles of interpretation, threshold setting and escalation over exhaustive diagnostic precision. These learning goals have direct implications for instructional design. Facilitated small-group tutorials remain highly effective when designed to promote active interpretation [3]. Sessions should be short and structured, using simple frameworks (such as an A–E approach for chest radiographs as shown in Figure 1) to scaffold novice cognition. Learners should describe findings aloud, commit to an interpretation and discuss next steps. Structured approach to chest radiograph interpretation. A structured framework, such as an A–E approach to chest radiograph interpretation, can be used to scaffold learners' interpretation. This may be introduced in preparatory resources, practised in small-group tutorials and reinforced through post-session learning materials. ‘Hot seat’ teaching, in which a student interprets an image in front of peers, closely mirrors clinical practice. When delivered in a supportive, low-stakes environment, it encourages deliberate practice, peer learning and reflection [6, 12]. Immediate expert feedback allows misconceptions to be addressed before they are reinforced [9]. Flipped approaches allow face-to-face time to be used for interpretation and feedback as opposed to content delivery [11]. Short preparatory videos or annotated examples can introduce frameworks and common pitfalls, preparing students for active practice [7]. An example of this is provided in Box 1. Meta-analytic evidence suggests that well-designed flipped formats are at least as effective as traditional lectures for radiology teaching, with benefits for both theoretical knowledge and practical performance [13]. Students complete a short preparatory resource (such as an eLearning course) introducing a systematic approach to chest radiograph interpretation and several worked examples. During the tutorial, chest radiographs are presented sequentially. Students partake in ‘hot seat’ interpretation, describing the radiograph aloud, committing to an interpretation and proposing management or escalation. Peers contribute discussion and feedback before targeted tutor feedback is provided, including annotated images where appropriate. The session focuses explicitly on normal versus abnormal appearances, red flags and uncertainty. The interpretive framework is revisited repeatedly, reinforcing schema formation while allowing learners to practise verbalising reasoning in a safe environment. Digital case banks and online question resources can substantially increase exposure to radiological images, but they are not inherently educational. Their effectiveness depends on how closely they align with deliberate practice principles [4, 8]. High-quality resources require learners to interpret unfamiliar images, commit to decisions and receive immediate, informative feedback. Case mix is critical: Excessive enrichment with abnormal cases can distort diagnostic thresholds, whereas inclusion of normal studies supports calibration. Simple accuracy scores are insufficient; feedback should support reflection on errors and uncertainty [10]. Box 2 describes this approach in practice. A case-bank approach can support deliberate practice of chest and MSK radiograph interpretation beyond scheduled teaching. Students interpret short sets of mixed normal and abnormal radiographs, receiving immediate visual and textual feedback after each case. Performance is tracked over a rolling window of recent cases. Progression is defined using sensitivity and specificity thresholds appropriate for undergraduate practice, emphasising reliable abnormality detection without excessive overcalling. Learners continue practice until stable performance is achieved, recognising that the number of cases required varies between individuals. Brief, low-stakes retesting at spaced intervals reinforces retention and highlights skill decay, allowing timely remediation. This structure ensures repeated decision-making with feedback, supporting threshold calibration rather than pattern memorisation. Poorly designed question banks may encourage superficial pattern recognition, avoidance of difficult cases or selective engagement with easier cases to protect scores and misplaced confidence [10]. Qualitative evidence suggests that extrinsic motivators and score-tracking features can drive unhelpful learning [14]. Paywalled resources may also exacerbate inequity. Educators should therefore guide students in the critical use of such tools and, where possible, recommend platforms that prioritise feedback quality, realistic case prevalence and educational intent. Radiology teaching is most effective when integrated longitudinally with anatomy and clinical placements. Imaging supports anatomical understanding and situates learning within a clinical context. Linking radiology sessions to current rotations, bedside teaching and simulated cases reinforces relevance and supports clinical reasoning [11, 15]. Common challenges include limited faculty time, unrealistic case prevalence, overconfidence and superficial engagement with online resources. These can be mitigated through flipped preparation, deliberate case curation, explicit learning goals and low-stakes assessment with feedback [3]. Simple outcome measures such as pre- and post-session tests or confidence ratings can support iterative improvement. Radiological interpretation is a core skill for newly qualified doctors, yet undergraduate teaching often fails to reflect how the skill is learned or what is required at graduation. Teaching should prioritise safe generalist practice: distinguishing normal from abnormal, recognising red flags and escalating appropriately when uncertainty remains. These abilities are developed through longitudinal exposure to mixed normal and abnormal cases with timely feedback and opportunities to recalibrate judgement. Tutorials, flipped sessions and case banks are most effective when deliberately designed to support this process rather than deliver content alone. Aligning teaching methods with educational theory and national curricular expectations provides students with a clearer and more achievable route to radiological competence. George E. G. Hunt: conceptualisation, writing – original draft, writing – review and editing, project administration, resources, data curation, visualisation. The author acknowledges the use of ChatGPT (OpenAI) for minor editorial review, such as grammatical correction. The author has nothing to report. The author has nothing to report. The author declares no conflicts of interest. All material within the article is original. The chest radiograph image used within Figure 1 is a public domain image available from: https://commons.wikimedia.org/wiki/File:Chest_Xray_PA_3-8-2010.png.