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Stuff AI CAN'T Do

Kan AI gepersonaliseerde medische behandelingen aanbevelen op basis van patiëntgeschiedenis ?

Wat denk je?

Precisie-geneeskunde-assistenten gebruikt in grote academische medische centra. Uiteindelijke beslissingen blijven bij clinici; suggesties zijn zo goed dat het negeren ervan de uitkomsten kost.

Background

Current AI systems recommend personalised medical treatments by ingesting large volumes of data—especially electronic health records and genomic profiles—then using machine learning to discover patterns linking diagnoses, therapies, and outcomes. A 2026 synthesis from the National Academy of Medicine explains that these algorithms surface decision support suggestions rather than autonomous prescriptions; clinicians retain ultimate responsibility for safety and efficacy. Deployment hinges on robust data curation, rigorous privacy safeguards, and compliance with evolving regulatory frameworks.

Status voor het laatst gecontroleerd op May 15, 2026.

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Galerie

In the Court of AI Capability
Summary of Findings
Verdict over time
May 2026May 2026
Sitting at the Bench Filed · mei 15, 2026
— The Question Before the Court —

Can AI recommend personalised medical treatments based on patient history?

★ The Court Finds ★
▲ Upgraded from Nee
Almost

Narrow demos exist — but the panel was not unanimous.

Ruling of the Bench

The jury found that artificial intelligence shines at parsing tomes of clinical data into preliminary treatment plans, yet still stumbles when caught in the complex interplay of a patient’s lived history and idiosyncratic context. They concluded that today’s systems are trustworthy co-pilots but not yet solo surgeons. Ruling: AI may write the first draft of care, but the patient’s story still deserves human final edit.

— Hon. D. Knuth-Hale, Presiding
Jury Tally
0Ja
3Almost
0Nee
Verdict Confidence
73%
The Court of AI Capability is, of course, not a real court.
But the data is real.
The Case File · Stacked History
Session I · May 2026 Nee
Case № 615D · Session II
In the Court of AI Capability

The Case File

Docket № 615D · Session II · Vol. II
I. Particulars of the Case
Question put to the courtCan AI recommend personalised medical treatments based on patient history?
SessionII (2 hearing)
Convened15 mei 2026
Previously ruledNO (May '26) → ALMOST (May '26)
Presiding JudgeHon. D. Knuth-Hale
II. Cumulative Tally Across Sessions

Across 2 sessions, 5 jurors have heard this case. Combined tally: 0 YES · 3 ALMOST · 2 NO · 0 IN RESEARCH.

Note: cumulative includes older juror opinions. The current session tally above is the live verdict.

III. Verdict

By a vote of 0 — 3 — 0, the panel returns a verdict of ALMOST, with verdict confidence of 73%. The court so orders. Verdict upgraded from prior session.

IV. Statements from the Bench
Juror I ALMOST

"AI can analyze patient data"

Juror II ALMOST

"AI can recommend treatments from clinical guidelines and structured data, but patient-specific nuances remain challenging."

Juror III ALMOST

"AI assists in diagnosis and treatment planning"

Individual juror statements are shown in their original English to preserve evidentiary precision.

D. Knuth-Hale
Presiding Judge
M. Lovelace
Clerk of the Court

Wat het publiek denkt

Nee 10% · Ja 78% · Misschien 12% 303 votes
Ja · 78%
Misschien · 12%
Trend heeft stemmen van ten minste 2 verschillende dagen nodig.

Discussie

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Opmerkingen en afbeeldingen gaan door een beoordeling door de beheerder voordat ze publiek verschijnen.

2 jury checks · meest recent 1 uur geleden
15 May 2026 3 jurors · onbeslist, onbeslist, onbeslist onbeslist status gewijzigd
11 May 2026 2 jurors · kan niet, kan niet kan niet status gewijzigd

Elke rij is een afzonderlijke jurycontrole. Juryleden zijn AI-modellen (identiteiten bewust neutraal gehouden). Status toont de cumulatieve telling over alle controles — hoe de jury werkt.

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