Cancer Care in Transition
PodcastDX
In this week’s episode, “Cancer Care in Transition: Precision Medicine, Immunotherapy, and Patient Choice,” we look at how cancer treatment is changing at the exact moment when patients are trying to move from crisis mode into something like a new normal. Precision medicine now uses a person’s genes, tumor markers, and even lifestyle to match them with targeted drugs or immunotherapies instead of one‑size‑fits‑all chemo, while immuno‑oncology has created a growing group of survivors living with long‑term effects and unique follow‑up needs. At the same time,...
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Various Types of Dementia
PodcastDX
Various Types of Dementia This week on PodcastDX, we’re stepping into the complex world of dementia—not as a single diagnosis, but as a family of conditions that affect memory, thinking, behavior, and independence in different ways. We’ll introduce the most common types of dementia, including Alzheimer’s disease, vascular dementia, Lewy body dementia, frontotemporal dementia, and mixed dementia, where more than one process—often Alzheimer’s plus vascular changes—are happening in the brain at the same time. We’ll also touch on less common causes, such as dementia related to...
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Rethinking DX: A Digital DSM and the Roots of Mental Health
PodcastDX
“Rethinking DX: A Digital DSM” looks at how the Diagnostic and Statistical Manual of Mental Disorders (DSM) quietly shapes almost every part of mental health care—from who gets a diagnosis and insurance coverage to how people understand their own symptoms and identities. In this conversation, Lita and Jean Marie unpack what the DSM actually is, why the current DSM‑5‑TR matters, and how a future, fully digital “DSM‑6” could function as a living document that updates more quickly, links to decision‑support tools, and better integrates real‑world data from electronic health...
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The Next Decade in Medicine
PodcastDX
Over the next decade, medicine won’t just add new gadgets—it will change what it feels like to be a patient. In this episode of PodcastDX, we explore how AI as a clinical co‑pilot, stem cells and regenerative medicine, genomics and precision care, wearables, and hospital‑at‑home models could reshape everyday care. We talk about the promise of earlier detection and more personalized treatment, the risks around bias, privacy, and hype, and why equity and shared decision‑making must stay at the center as technology races ahead. Most of all, we ask how patients and caregivers can be...
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Patients as Partners: Shared Decision Making in Medicine
PodcastDX
This week we are discussing the rise of a new type of health care where the patients play a vital role in their medical care. Patients as partners in care are at the heart of shared decision making (SDM), a model where clinicians and patients deliberately work together to choose tests and treatments that fit both best evidence and the patient’s values and life context. What shared decision making means SDM is a collaborative process in which clinicians contribute clinical expertise while patients contribute their goals, preferences, and lived experience. Core...
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End of Life in Transition: Earlier Palliative Care, Better Conversations
PodcastDX
At a time when modern medicine is allowing people to enjoy longer, fuller lives, mortality is not always a chief concern. But when a serious illness occurs, the topic becomes unavoidable. This became especially clear during the early days of the COVID-19 pandemic when hospitals were overrun with patients, many with grim prognoses. “The pandemic gave all of us a sense that life can be short and there’s the very real possibility of dying,” says , director of the Palliative Care Program at Yale New Haven Hospital. “It opened the door for us to talk more about death and have a...
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Is Mental Health Care Changing Fast Enough
PodcastDX
This week we discuss the current status of Mental Health Care. Mental health care is changing, but most experts argue it is not changing fast enough relative to the need, especially on access, equity, and workforce. Where change is too slow Unmet need is huge. In the U.S., millions with a diagnosable condition still receive no treatment each year; a recent national report notes that many adults with mental illness remain uninsured or unable to access care. Global workforce shortages. Nearly 50% of the world’s population lives in countries with fewer...
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Rehabilitation Reimagined: Technology, Therapy and Independence
PodcastDX
The integration of Artificial Intelligence (AI) into post-injury rehabilitation is transforming recovery paradigms by enabling personalized, adaptive, and efficient rehabilitation pathways tailored to individual patient needs. This podcast reviews the current advances in AI applications that facilitate assessment, monitoring, and optimization of rehabilitation programs following injuries. Through machine learning algorithms, wearable sensors, and predictive analytics, AI enhances the precision of therapy plans, tracks patient progress in real-time, and predicts recovery trajectories. The...
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The Gut Brain Revolution
PodcastDX
The gut–brain revolution is about treating the digestive system and the nervous system as one integrated network instead of two separate organs that happen to share a body. The gut–brain axis is a bidirectional communication system: the brain influences digestion, motility, and gut sensation, while the gut and its microbiota send chemical, neural, and immune signals back to the brain that can shape mood, cognition, and even neurodegeneration. Central to this loop is the vagus nerve, the longest cranial nerve, which carries most of the traffic from gut to brain and...
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Promising New Cancer Screening Methods
PodcastDX
Promising new cancer screening methods are pivoting toward (MCED) blood tests (liquid biopsies) and AI-enhanced imaging, which aim to detect multiple cancer types from a single, non-invasive sample, often before symptoms arise. These technologies, including the and , analyze DNA, proteins, or methylation patterns to identify cancer signals. Multi-Cancer Early Detection (MCED) Blood Tests: These tests, often called liquid biopsies, detect DNA or proteins shed by cancer cells into the bloodstream, identifying early-stage cancers (e.g., ovarian, pancreatic)...
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This week we will discuss the topic of Diagnostic Radiology. The error rate of radiology is 4% world wide which comes out to be 40 million interpretive errors a year. Errors in diagnostic radiology occur for a variety of reasons related to human error, technical factors and system faults. It is important to recognize that various cognitive biases contribute to these errors.
Cognitive biases have a complex and significant impact on the perception of examinations within diagnostic radiology, with the clear and present danger of diagnostic errors. The following are some of the more common cognitive biases that can affect day-to-day decision making
Alliterative bias
Alliterative bias (sometimes called satisfaction of report) is the tendency for your diagnostic impression to be unduly influenced by the prior interpretation made by another radiologist or clinician. It is a type of confirmation bias and it can result in the same incorrect impression being propagated from one radiologist to the next. Formulating your own interpretation before reviewing any prior imaging reports may help reduce alliterative bias.
Anchoring bias
Anchoring bias is the tendency for your initial impression to unduly influence your evaluation of subsequently collected information. Careful assessment of all imaging findings prior to formulating a diagnosis and consideration of alternate diagnoses may help minimize anchoring bias.
Automation bias
Automation bias is the tendency for reporters using computer-aided decision support to over rely on the software for the diagnosis, and to ignore their own opinions 2. Making your own assessment prior to reviewing the computer-aided findings, and knowing the limitations of the automated software, can help reduce this bias.
Availability bias
Availability bias refers to the tendency for your diagnostic judgements to be unduly influenced by information or experiences that are readily recalled in your mind. Use of information sources beyond your own personal experience, such as publications or an opinion from colleagues, may help to minimize availability bias.
Bandwagon effect
The bandwagon effect (sometimes termed diagnosis momentum) refers to the tendency for you to do or think as others do, simply because that's what others are doing. Applying your own judgment and not dismissing your own opinion can help avoid this bias.
Confirmation bias
Having a predetermined diagnosis in mind, then looking for evidence that supports this predetermined idea. Alliterative errors 3, sometimes referred to as satisfaction of report errors, are caused by the tendency to overvalue previous reports, and can be conceptualised as a type of confirmation bias.
Framing bias
Framing bias refers to the tendency to be unduly influenced by how a clinical question is asked or how the problem is presented. For example, a request form that presents a succinct history that perfectly matches a particular pathology, may influence your interpretation of the imaging. Reviewing the images prior to reading the clinical indication can help avoid any influence. Obtaining more detailed clinical information via the electronic medical record may help provide you with a more balanced assessment of the clinical situation.
Hindsight bias
Hindsight bias is the tendency to overestimate the prior predictability of an event (eg. a diagnosis) after the event is known. In other words, the difficulty of making the correct diagnostic decision initially is retrospectively de-emphasized, after the diagnosis has been proven. It is also informally termed as the “I knew it all along” or "retrospectoscope" bias 5. It is important to be conscious of this bias so that you are not overly critical of yourself or others when quite reasonable errors are made.
Outcome bias
A tendency to favor a less severe diagnosis based on empathy for a patient.
Representativeness bias
Making a judgment on an aspect of an image that is based on one's own perception of what that represents. Representativeness bias as the description suggest can also be heuristic in nature.
Search satisfaction
Search satisfaction is the tendency to prematurely stop searching after early findings satisfy the reader that the diagnosis or symptoms can be explained. Satisfaction of search (SOS) errors have been reported to account for 22% of diagnostic errors 4. A systematic approach to image interpretation and review of check areas and not-to-miss diagnoses can help to reduce this bias.
Zebra retreat bias
A reader will not make a rare diagnosis, which is otherwise supported by the available evidence due to a lack of confidence.
There are businesses that do "second opinion" reads, here are links for two such companies for your use: www.ndximaging.com www.xmri.com
