Joseph N Macaluso MD FACS retweeted
Discovery of 48 new, common genomic loci (a ~60% jump) associated with Alzheimer's disease. A high proportion of the new loci are tagged to brain immune cell (microglia) function @Nature
nature.com/articles/s41586-0…
Joseph N Macaluso MD FACS retweeted
Hallf of people with obesity are considered metabolically healthy (MHO), from a new review on obesity @NatureMedicine nature.com/articles/s41591-0…
Why #Healthcare Still Runs on #Fax in 2026 (And How #AI Fixes It) referralmd.com/healthcare-fa…
@HCAhealthcare @WCMUrology @aafp @Humana @CHRISTUSHealth @TenetHealthcare @DrOzCMS @BCBSAssociation @WSJhealth
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The Coordinator Gap: How to Keep Referral Workflows Moving When Staff Leave referralmd.com/referral-work…
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Joseph N Macaluso MD FACS retweeted
A real world randomized trial of an AI-generated patient layperson summary of medical findings (vs control standard, without) before a surgical appointment was liked by patients for improving quality of the visit (FAPI) and shortened the time for consultations
ai.nejm.org/doi/10.1056/AIoa…
Joseph N Macaluso MD FACS retweeted
JAMA ya tiene su inteligencia artificial.
La inteligencia artificial ya está entrando fuerte en medicina, incluyendo la psiquiatría (para ayudar a diagnosticar, predecir respuestas a tratamientos, analizar conversaciones o apoyar en el seguimiento de pacientes), pero el problema es que muchas herramientas salen rápido al mercado sin suficiente evidencia de que realmente funcionen en la vida real, sean seguras o no empeoren las desigualdades.
Por eso JAMA, una de las revistas médicas más importantes del mundo, acaba de anunciar el lanzamiento de JAMA AI, una nueva revista dedicada específicamente a publicar investigaciones rigurosas y centradas en lo clínico sobre inteligencia artificial y salud digital. La idea es que no basta con que algo sea innovador o tecnológico; tiene que demostrar que mejora de verdad la atención y la salud de las personas, incluyendo la salud mental.
Artificial intelligence is reshaping medicine, but innovation alone is not enough.
In a new Editorial, Roy H. Perlis, MD, MSc, Annette Flanagin, RN, MA, and Kirsten Bibbins-Domingo, PhD, MD, MAS discuss the launch of @JAMA_AI_, a new JAMA Network journal dedicated to publishing rigorous, clinically focused research spanning AI, digital health, and computational health.
📖 Read the Editorial: ja.ma/4s34h7m
Joseph N Macaluso MD FACS retweeted
Among US #clinicians, use of an #AI-enabled clinical information platform increased substantially over 2.5 years, with sustained use across #physician and nonphysician groups.
Queries most often focused on #treatment and #management rather than #diagnosis, indicating that these tools are being used primarily to support #clinical decision-making at the point of care.
ja.ma/4Ba9ej2
Joseph N Macaluso MD FACS retweeted
Our immunity vs cancer decreases with age. A new study highlights the importance of the thymus and its naive T cells, especially for middle-aged men and less androgen availability, as extrapolated from animal model experiments @NatureAging
nature.com/articles/s41591-0…
Editorial Comment on “The Effect of Metronome Rhythm on Pain, Anxiety,… sciencedirect.com/science/ar…
@MidAtlanticAUA @NYSAUA @CanUrolAssoc @UroOnc @Uroweb @AmerUrological @urogoldjournal @UrologyTimes
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Joseph N Macaluso MD FACS retweeted
New @ScienceMagazine
A breakthrough in understanding why we get fever and an inflammation response to vaccines.
The gut microbiome chronic production of flagellin
Paves the way to potentially prevent these acute phase side-effects in the future
science.org/doi/10.1126/scie…
Global burden of cancer attributable to infections in 2024: a worldwide incidence analysis - The Lancet Oncology thelancet.com/journals/lanon…
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These results are significant & despite the artificial endpoints set before the trial began…are not negative…even an imperfect warning signal allows for raised awareness & more intensive investigation…this is the right approach…Ai integration will enhance it further
The GRAIL NHS Galleri randomized trial with over 142,000 participants was published today @NEJM
"In this trial, we did not observe a lower incidence rate of stage III or IV cancers [the primary endpoint] across 12 prespecified cancers after three screening rounds with multicancer early-detection testing plus usual care than with usual care alone."
nejm.org/doi/full/10.1056/NE…
Joseph N Macaluso MD FACS retweeted
Stage IV cancers fell 26% by year three in the deadliest cancer types. The trial still "failed." Both are true. But a failed endpoint is not a failed technology. My open letter on why the supporters will be proven right.
Joseph N Macaluso MD FACS retweeted
The informativeness of a chest X-ray decoded by AI
In this multimodal AI model called Oncoformer of 3.67 million individuals of EHR plus chest X-ray, cancer was predicted at least 1 year before diagnosis: AUROC all cancers 0.869, cervical cancer 0.905, colon cancer 0.896 @CellCellPress open-access
cell.com/cell/fulltext/S0092…
7 Referral Management Metrics That Drive Practice Growth
@ASNKidney @aafp @AmandaNizamMD @AmyPearlman1 @FocalSociety @RobertKennedyJr @SbrtSean @UroOnc @MaryBowdenMD @EAU_YAUProstate @Uroweb @TxUrological @CanUrolAssoc @NYSAUA @MidAtlanticAUA
referralmd.com/referral-mana…
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Joseph N Macaluso MD FACS retweeted
Lessons from one of the first [and the largest] randomized trials of AI in medicine @NatureMedicine
A trial of >100,000 women undergoing mammography with or without AI support for interpretation, by Kristina Lång @lunduniversity
Most importantly, can it [AI] improve patient outcomes?
nature.com/articles/s41591-0…
Joseph N Macaluso MD FACS retweeted
Around age 50 your blood monocytes (Micro 2) begin a "hostile takeover" replacement of your brain microglia immune cells (Micro 1) and can promote inflammation. Two impressive studies made this remarkable discovery independently with different methods. In conversation with their lead authors, @juliabelk and Nathan Zemke erictopol.substack.com/p/two…
Joseph N Macaluso MD FACS retweeted
No chance radiologists get replaced. A model is outdated the minute it is released.
Model usage costs money. A lot more than a radiologist.
Medicine is a business.
Putting together AI with domain knowledge is complex. When it can be the difference between life and death, who do you want building it and using it ?
People forget that using AI and trying to get accurate answers is a skill that will need to be taught in med school
AI won't replace radiologists. But every radiologist will use AI
Replying to @mcuban
Very soon in some states you will go get a blood test paid by insurance with no prescription and the AI will just auto prescribe drugs for you based on the results




















